AI Apps Prompt Library

Find me public pension funds in the Southeast with $500M–$2B in AUM that allocate to private credit and have made commitments in the last 18 months.

Pull everything we know about [LP name] — their investment preferences, recent commitments, key contacts, and any notes — before my call tomorrow.

Build me a list of endowments and foundations that invest in emerging managers and have a venture capital allocation.

Who are the decision-makers at [institution]? Give me their titles, contact info, and areas of investment focus.

Which LPs have committed to [competitor fund] in the last two years? Are any of them in my target universe?

Of my current prospect list, which LPs have the highest activity signals — recent mandates, new commitments, or RFPs?

Show me family offices in the Chicago area that invest in real estate and have AUM over $250M.

What are the most recent active mandates in the database for private equity — who's looking and what are their criteria?

Which LPs in our existing customer relationships have adjacent allocations we haven't pitched yet — e.g., a PE client who also does private credit?

How many institutional LPs in Europe have an allocation to U.S. private equity? Break it down by investor type.

I'm preparing for our annual LP day next month. Using Dakota Marketplace, give me a complete relationship profile for each of our top 15 limited partners - their AUM, current allocation percentages across private equity, credit, and real assets, recent commitments to other managers, key decision-maker contacts with title and direct email, and any updates logged in the last 90 days. Flag any LPs whose mandate has shifted or who have meaningfully increased their alternatives allocation in the last 12 months. Return a briefing PDF I can share with the full IR and deal team before the event.

I'm a Managing Director of IR at a $3B private credit fund two weeks from our final close. Using Dakota Marketplace, pull a complete roster of every LP who made a commitment to our fund — name, institution, AUM, commitment size, primary IR contact, and most recent contact date logged. Flag any LPs where we haven't had contact in the last 60 days so I can prioritize last-mile outreach before we close the fund. Return as a PDF I can share with our CFO and deal team.

Using Dakota Marketplace, show me the top 10 most active endowments and foundations currently allocating to real assets strategies in the Southeast United States. For each institution, include: total AUM, investment mandate focus, asset classes they currently allocate to, key investment contacts with direct titles and email addresses, and any meeting history my firm has logged with them in the past 12 months. Sort results by AUM descending and flag any accounts marked as actively searching for new managers.

I'm launching my first institutional fund — a $250M venture capital strategy focused on B2B SaaS and vertical software in the Southeast. I have no prior LP relationships. Using Dakota Marketplace, build me a prioritized cold outreach list of the 30 most accessible first-time LP relationships I should target — specifically: endowments and foundations with $100M–$2B AUM, family offices with a track record of backing emerging VC managers, and public pension funds in the Southeast with active emerging manager programs. For each, include the institution name, AUM, key decision-maker contact with title and email, their emerging manager program status or known appetite, and any recent commitments to first-time funds. Flag the 10 highest-priority targets based on fit and accessibility.

Using Dakota Marketplace, identify consultant-advised public pension funds that have: (1) AUM above $5 billion, (2) a current or recently closed large-cap buyout mandate in the past 18 months, and (3) a consultant relationship with Callan, NEPC, Mercer, or Aon. For each result, show: fund name, total AUM, consultant name, key investment staff contacts with titles and emails, most recent buyout commitment amount and manager, and next scheduled investment committee date if available. Rank by AUM descending and flag any funds where the current consultant relationship is less than 2 years old, as those often trigger manager re-evaluation.

Using my Dakota Marketplace account data, pull all allocator contacts at institutions that previously committed between $5M and $25M to our prior funds but have had no logged meeting, email, or call in the last 6 months. For each, show the institution name, primary contact name and title, last activity date, AUM, investor type (endowment, pension, family office, etc.), and any recent changes to their investment staff. Rank the list by historical commitment size descending and flag any contacts who have recently changed roles or joined a new institution. Export as a table I can use to brief our IR team before the next quarterly outreach sprint.

Using Dakota Marketplace, pull a list of institutional investors that currently allocate to our firm's private equity strategy but have NO current allocation to real assets or infrastructure. For each LP, show: their AUM, current real assets/infrastructure target allocation percentage, existing real assets managers in their portfolio, the name and title of their alternatives or real assets investment contact, last meeting date with our firm, and any open mandates in infrastructure or real assets. I want to see which of our existing PE LPs have the target allocation headroom and strategic interest to be moved into our new infrastructure fund — ranked by those with the largest gap between their stated real assets target and current deployment.

I just returned from the iConnections Global Alts conference where my team had 40+ LP meetings over three days. Using Dakota Marketplace, help me prioritize which conversations to follow up on first. Pull the full profile for each of the following institutions: [list institution names]. For each, return: total AUM, current alternatives allocation percentage, asset classes they currently allocate to, key decision-maker contacts with titles and direct email, any recent mandate or RFP activity in the last 12 months, whether they have an existing relationship logged with our firm, and any notes on their investment preferences. Flag accounts where (1) the CIO or PM has changed in the last 18 months, (2) they have an active private equity or private credit mandate, or (3) their alternatives allocation is below their stated target - those are Tier 1 follow-ups. Rank all accounts by priority and return as a formatted PDF I can brief my team with before our follow-up calls next week.

I just completed the final close on Fund III ($1.2B). Using Dakota Marketplace, pull a complete list of every LP that committed to Fund II but has not yet committed to Fund III. For each, show their current AUM, primary contact with title and email, their last meeting date in our notes, any recent commitments they've made to other buyout funds in the last 12 months, and their current mandate status. Rank them by re-up likelihood based on activity signals. Also flag any LP from Fund II whose primary contact has changed titles or moved firms since we last spoke. I want to bring this list to our first LP re-engagement meeting next week.

Identify sovereign wealth funds and public pension plans globally with infrastructure allocations exceeding $500M and no commitment to our strategy in the prior 24 months. Include AUM, allocation %, key contacts with titles, last commitment date, and priority flag.

Using Dakota Marketplace, identify US family offices and endowments with documented allocations to Asia-Pacific or emerging market hedge fund strategies. Filter for AUM above $500M. For each institution, show estimated AP hedge fund allocation percentage, key decision-makers, last meeting date, and communication preferences. Rank by AP exposure and recency of contact to create a prioritized roadshow call list.

Using Dakota Marketplace, I'm trying to get in front of the CIO and Head of Alternatives at [target institution names] but have no existing relationship. Cross-reference their career history and education data against my firm's investment team and BD team. Identify any shared employers earlier in their careers, shared educational institutions, or mutual former colleagues who have since moved to firms I already have relationships with. For each contact, show their full career history, education, and the strongest warm-path connection you find, ranked by likelihood of a genuine introduction. Return a PDF briefing I can hand to whichever of my colleagues has the best in.

Using Dakota Marketplace, identify public pension funds and endowments with target allocations to real assets or infrastructure that have investment committee or board meetings scheduled in the next 45 days per their public plan minutes and disclosures. For each institution, show total AUM, current real assets allocation percentage vs. target, key investment staff contacts with titles and email, the date of their next scheduled meeting, and any recent public commentary from board minutes about manager searches or asset allocation reviews. Rank by proximity of meeting date and likelihood of an active real assets mandate. Return this as a briefing PDF I can use to time our outreach calls before each meeting.

Using Dakota Marketplace, pull all active Dakota Searches and RFPs posted in the last 7 days that match private credit, direct lending, or structured credit strategies across public pensions, corporate pensions, and Taft-Hartley plans. For each search, show the sponsoring institution, asset class and strategy requested, target commitment size, response deadline, and the consultant of record if listed. Cross-reference each institution against Public Plan Minutes from the last 60 days to flag any board discussion of credit allocation changes or manager reviews. Rank the list by response deadline and return a PDF briefing I can circulate to my fundraising team this morning.

Using Dakota Marketplace, pull our fund's current LP base and cross-reference each investor against their recently logged private credit and direct lending commitments to other managers over the past 12 months. For each LP, show their total AUM, current commitment to our fund as a percentage of that AUM, any new private credit or direct lending commitments to competitors, the key decision-maker contact and title, and the date of our last meeting or touchpoint. Flag LPs whose commitments elsewhere suggest they have unallocated private credit capacity beyond what they've given us, and rank the list by expansion opportunity size. Return this as a PDF briefing I can bring to our next investor call.

Before my Monday leadership meeting, build me a single cross-functional briefing using Dakota Marketplace: show the health of our active LP pipeline (institutions in dialogue, RFP stage, or gone cold), flag any recent institutional commitments won by our named competitors, and surface any senior IR or business-development departures at those same competitor firms. Rank the output by priority so I can see our top three actions for the week at a glance.

Using Dakota Marketplace, pull our current external manager roster [list of 25 GP relationships] and cross-reference each against recent Form ADV amendments, executive departures, and AUM trend data. Flag any manager where: (1) a Chief Investment Officer, Head of Trading, or other senior investment professional has left in the last 12 months, (2) reported AUM has declined more than 15% year-over-year, or (3) the adviser has filed a new Form ADV disclosure event. For each flagged manager, show firm name, AUM trend (current vs. prior year), departed executive name and title if applicable, and the date the change was logged. Return a prioritized PDF risk register I can bring to our quarterly ODD committee meeting.

Using Dakota Marketplace, review our current LP base at a $3B credit-focused asset manager and flag institutions showing early signs of reallocation risk. For each existing LP relationship, check: (1) whether they've made a new commitment to a competing credit manager in the last 6 months, (2) whether recent public plan board minutes or investment committee notes reference an active manager search or review in our strategy, and (3) whether their overall allocation to private credit has declined year-over-year. For any LP that trips one or more of these flags, show institution name, AUM, current commitment to our fund, the competing manager or search activity identified, the relevant board/consultant signal, allocation trend, key IR contact, and date of our last touchpoint. Rank the output by urgency and return a PDF briefing I can walk through with our CEO before next week's client retention review.

Using Dakota Marketplace, I'm uploading our badge-scan list of 340 attendees from last week's public plan conference. Cross-reference each attendee's institution against our CRM: flag which are existing LPs, which are in active pipeline with a stage, and which are net-new with no prior touchpoint. For every net-new institution, pull AUM, asset class allocation focus, and the most senior investment staff contact with title and email. Rank the net-new list by AUM and Dakota-flagged fit with our current fund strategy, and return a PDF call list our fundraising team can work through this week.

Using Dakota Marketplace, I want to build a lookalike prospecting list based on our five best-performing LP relationships: [LP names]. For each of these anchor LPs, pull their AUM, geographic region, asset-class allocation mix, and average check size on commitments to our fund. Then search the broader Dakota database for institutions that match this profile within a 20% AUM band, the same primary asset-class allocation, and a comparable check-size history, but who have never engaged with our firm. Exclude any institution already in our CRM or pipeline. For each match, show institution name, type, AUM, state/region, asset-class allocation percentage, estimated check size, and a similarity score relative to our anchor LPs. Rank the output by similarity score and return a PDF target list of the top 25 lookalikes I can hand to my regional coverage leads this week.

Using Dakota Marketplace, build a coverage map of investment consulting firms that have rated or recommended real assets and infrastructure strategies in the last 12 months. For each consultant, show the firm name, the analysts covering real assets/infrastructure, the asset owner clients they advise with disclosed AUM, and any manager searches or hires in real assets that Dakota has on record. Cross-reference against our current consultant contact list to flag consultants we have no documented relationship with. Return a prioritized outreach list ranked by the number of asset owner clients each consultant influences, with a one-line rationale for each.

I run business development for our $2.5B real estate debt fund and want to understand why we're losing competitive processes. Using Dakota Marketplace, pull every allocator in our pipeline marked Lost or Declined over the past 12 months where an active real estate debt or credit mandate was in motion. For each, show institution type, AUM, search size, strategy focus, our last touchpoint date, and the manager ultimately selected if disclosed. Flag institutions with high re-engagement potential based on deadline timing and relationship strength. Return a PDF summarizing competitive patterns by manager and institution type, with recommended process changes for next quarter's RFP responses.

Using Dakota Marketplace, identify investment consultants and OCIO firms that have issued a manager search or rated recommendation for private credit or direct lending strategies in the last 12 months. For each firm, show the firm name, the consultant or analyst covering private credit, the asset owner clients they advise with disclosed AUM, and any recent public plan minutes referencing private credit manager searches. Rank the list by number of asset owner clients with an active or recent private credit search, and return a PDF briefing I can use to prioritize our marketing and IR outreach for our new fund launch.

Using Dakota Marketplace, identify the top 15 allocators (public pensions, insurance companies, and endowments) with AUM over $3B that have an active or recent infrastructure debt allocation, across Chicago, Dallas, and Atlanta. For each, show AUM, infrastructure allocation percentage, key contact with title and email, and last touchpoint date. Then, for each metro, pull 2-3 Dakota Recommendations for highly-rated business dinner venues near the allocator's office suitable for a client meeting. Package this as a city-by-city roadshow itinerary PDF with allocator profiles paired with recommended meeting venues for each stop.

Using Dakota Marketplace, pull our current LP relationship list and cross-reference it against career history data to flag any institutions where the CIO, Head of Alternatives, or senior allocator contact has changed roles in the last 6 months, either a new hire into that seat or a departure. For each flagged institution, show the outgoing and incoming contact names and titles, the institution's AUM and current allocation to our strategy, our last meeting or touchpoint date, and any notes on file. Package this as a PDF re-introduction priority list ranked by AUM, with a suggested talking point for each new contact based on their prior firm and investment focus.

Pull every allocator account in Dakota Marketplace we've met with in the last 24 months but have not logged a touchpoint with in the past 6 months. For each, show AUM, investment preferences matching our credit strategies, most recent meeting date and outcome, and any recent Public Plan Minutes or Dakota Searches mentioning credit mandates. Rank the list by reallocation likelihood and flag the top 15 accounts for immediate follow-up with a one-line rationale for each.

Search Dakota Marketplace for all allocator accounts tagged with real estate/real assets investment preferences that have a documented commitment maturing or redemption window in the next 6 months, based on Investments and Public Plan Minutes data. For each account, pull AUM, current real assets allocation %, the assigned relationship owner on our team, last meeting date and outcome, and any Dakota Search or Fundraising News mentioning a real estate manager search. Rank the resulting list by dollar opportunity size and produce a 90-day outreach cadence for our top 20 targets.

Using Dakota Marketplace, pull the last 30 days of Fundraising News, Dakota Searches/RFPs, and Public Plan Minutes mentioning private credit or direct lending manager searches. Group the results by theme (e.g., insurance allocations, pension rebalancing, consultant-driven searches) and identify the three most active themes by volume of allocator activity. For each theme, list the institutions involved, their AUM, and the specific signal (new RFP, plan minutes commentary, or reported commitment). I want to build our Q3 content calendar around the topics allocators are actually discussing right now — return this as a PDF briefing with a recommended blog/webinar topic for each theme and supporting data points I can cite.

I'm onboarding a new BDR who is taking over coverage for Texas and Oklahoma next Monday. Using Dakota Marketplace, build a first-day territory brief: total addressable market of allocator accounts in the region by channel (public pension, endowment/foundation, RIA, family office), the 20 highest-AUM accounts with no assigned relationship owner, the 10 accounts with the most recent activity signal (new mandate, RFP, or plan minutes mention) in the last 90 days, and key contact names, titles, and emails for each. Package this as a PDF I can hand them on day one, along with a suggested 30-60-90 day call cadence.

We're about to distribute the PPM for our new fund to our full Dakota-tracked contact list of 640 institutional contacts. Before compliance signs off, cross-check every contact against their firm's investor type classification (public pension, endowment, family office, RIA, etc.), AUM tier, and country/jurisdiction on file in Dakota. Flag any contact whose firm type or location would make them ineligible for a Reg D 506(c) offering to non-U.S. or non-accredited recipients, and any record missing a verified investor classification. Return a clean list of cleared contacts plus a separate exceptions list with the reason for each flag, so I can hand both to compliance today.

Using Dakota Marketplace, pull all allocator meetings and pipeline stage records tied to our firm's business development team over the trailing 12 months, broken out by allocator channel (public pension, corporate pension, endowment, foundation, OCIO/consultant, family office). For each channel, calculate the ratio of first meetings to committed mandates and flag any channel where our conversion rate falls below the typical range for multi-strategy alternatives managers of similar AUM. Then pull the list of allocators in the lowest-converting channel who have had a first or second meeting with us in the past 6 months but no follow-up logged, and rank them by AUM and stated interest in our strategy so I can prioritize re-engagement calls this week.

Using Dakota Marketplace, pull all RIA accounts with AUM between $250M and $5B that have grown AUM by 20% or more year-over-year based on the most recent Form ADV filing. Cross-reference against our firm's logged meeting history and flag any RIA with no contact touch in the last 90 days. For each flagged RIA, show firm name, current AUM, YoY growth rate, headquarters metro, investment preferences tagged toward alternatives or private credit, and the best wholesaler contact with title and email. Rank the list by AUM growth rate and return a prioritized PDF outreach list of the top 20 for my wholesaler team's next sprint.

Using Dakota Marketplace, pull the list of allocator accounts that viewed or downloaded our firm's marketplace documents (pitch decks, fund fact sheets, DDQs) in the last 30 days. Cross-reference against our logged meeting and call history to flag any account with document engagement but no outreach in the past 60 days. For each flagged account, show institution name, type, AUM, the specific document viewed and view date, and the best contact with title and email. Rank by recency of engagement and return a prioritized PDF call list of the top 15 for this week's outreach.

Using Dakota Marketplace, pull all investment consultants tracked in the database who cover multi-asset or global equity strategies and have updated their recommended/approved manager list in the last 90 days based on Dakota's consultant coverage notes. For each consultant, show firm name, primary contact with title and email, AUA if available, and the specific strategy changes noted (additions, removals, or watch-list status changes). Flag any consultant where our firm was removed or placed on watch status as highest priority. Return a ranked PDF outreach list of the top 15 consultants for my team's relationship review this week.

Using Dakota Marketplace, pull the list of institutional allocators marked "Not a Fit" or "Revisit in 12 Months" in our CRM from the past 18 months. Cross-reference each against Dakota's contact database to flag any where the primary decision-maker (CIO, Director of Manager Research, or Portfolio Manager) has changed since our last conversation. For each flagged institution, show the outgoing and incoming contact names/titles, the new hire's start date and prior firm, current AUM, and asset-class allocation focus. Prioritize the list by AUM and time-since-last-contact, and return a PDF re-engagement briefing with talking points for the sales team's next outreach round.

Using Dakota Marketplace, pull the disclosed fee structures (management fee, carry, hurdle rate) and key terms for private credit direct lending funds raised in 2023-2025 with a target fund size between $500M and $1.5B. Compare our current Fund III terms against this peer set and flag where we are an outlier on any dimension. Include GP name, fund vintage, fund size, and fee/terms detail for each comparable fund, and return a PDF benchmarking memo I can bring into our LP advisory committee call before finalizing side-letter terms for our largest anchor investor.

Using Dakota Marketplace, pull the most recent Form ADV filings for our top 20 competitor peer set (multi-strategy managers with $5B-$50B in AUM). For each firm, show the AUM change versus the prior filing, any changes to fee schedules or share classes, and any newly disclosed or departed key personnel (portfolio managers, CCOs, or business development leads). Flag any firm with an AUM decline greater than 10% or a CCO change in the last two filings as highest priority. Rank by magnitude of AUM change and return a PDF competitive-monitoring brief I can share with our executive team this week.

I just got back from an institutional alternatives conference with 214 allocator attendees and I need to turn that badge scan list into a real follow-up plan before it goes stale. Using Dakota Marketplace, cross-reference the attendee list against allocator account profiles and tell me which attendees are actually worth a rep's time. For each one, pull the institution name, channel (public pension, endowment, foundation, healthcare system, RIA, insurance general account, consultant), total AUM, the attendee's title and seniority, whether they have a documented allocation or open search in direct lending or opportunistic credit, and any prior meeting or contact history our firm has on record. Then rank them into three tiers: high priority (documented mandate fit plus a reachable decision-maker), moderate (fit but consultant-gated or early stage), and nurture (no mandate fit, below our minimum, or a recorded decline in the last 12 months). Flag which names are consultant-gated and tell me which consultant to route through. Give me the output as a table I can assign to reps with a 96-hour follow-up window.

Using Dakota Marketplace, review the board and investment committee minutes published in the last 90 days for U.S. public pension plans with $2B-$25B in total plan assets. Identify every plan where the minutes contain a forward-looking pacing or allocation signal - a raised or lowered target allocation, an approved annual pacing budget, a new sleeve or asset class under study, a consultant recommendation to expand a program, or a decision to search for managers in a strategy. For each plan give me: plan name, total plan AUM, the minutes date, the exact signal in one line, the strategy or asset class affected, the direction and size of the change, the investing consultant or OCIO of record, and the next scheduled board or IC meeting date. Flag which plans already have an existing relationship with our firm and which are net-new. Then rank the list by how well the signal maps to our small-cap value and international equity strategies, and for the top 10 give me the CIO, Deputy CIO, and public markets staff contacts with titles and email addresses so I can get in front of the search before the RFP posts.

Using Dakota Marketplace, build me a 90-day allocator decision calendar. Filter to public pensions, endowments, foundations, and health system investment offices in the Northeast and Mid-Atlantic with $1B+ in total plan assets and an existing or target allocation to private credit. For each institution, return: next scheduled board or investment-committee meeting date, meeting cadence, consultant or OCIO of record, the private markets decision-maker and their direct contact info, any private credit or opportunistic search flagged in recent meeting minutes, our last touchpoint from meeting history, and current pipeline status. Then compute the materials deadline (typically 3 weeks before the meeting) and the date my team must make contact to be considered in that cycle. Sort by contact deadline ascending and flag which accounts we will miss entirely if we do not act this week.

Using Dakota Marketplace, help me plan a 12-business-day international roadshow across Europe and the Middle East for our $8B global alternatives platform. Pull all institutional allocators in London, Amsterdam, Zurich, Geneva, Frankfurt, Stockholm, Abu Dhabi, and Dubai that (1) allocate to non-domestic private markets managers, (2) have at least $250M of private markets exposure or a stated alternatives target above 15%, and (3) either have no meeting history with us or were last contacted more than 12 months ago. For each city return a table with: allocator name, allocator type (sovereign wealth, public pension, corporate pension, insurance general account, private bank, wealth manager, consultant), city, total AUM, private markets allocation percentage, consultant of record, primary manager-research contact with title and email, last recorded meeting or touchpoint, and any mandate or search activity in the last six months. Then recommend a city sequence that maximizes qualified meetings per travel day, flag which cities justify two days versus one, note any allocator whose investment committee or board meets during the window, and give me a target meeting count per city with the three highest-priority accounts in each.

Using Dakota Marketplace, size the addressable buyer universe for a proposed semi-liquid evergreen private credit vehicle with a $1M retail-accredited minimum and a $25M founder class. Segment accounts by channel: RIA aggregators, multi-family offices, single family offices, private banks, IBD home offices, small endowments and foundations, insurance general accounts, Taft-Hartley plans, DC plan sponsors, public pensions, and non-US wealth platforms. For each segment give me the count of accounts with existing private credit exposure, estimated addressable capital, the share that already holds at least one interval fund, tender-offer fund or non-traded BDC, the median first-check size, and the typical board or IC approval cadence. Flag any segment where fewer than 15 US managers currently appear on approved-product lists, and tell me which segments require a rated feeder or a non-US domicile to access.

Using Dakota Marketplace, build a consultant coverage map for the 12 institutional plans on my target list. For each plan, return the incumbent general and specialty investment consultant, the specific field consultant assigned to the relationship with title and contact detail, total plan AUM, whether the relationship is discretionary or non-discretionary, and any posted or anticipated manager search with expected quarter and asset class. Then group the plans by consultant so I can see where a single consultant relationship covers multiple targets, and tell me for each plan whether I should engage the consultant before the plan, in parallel, or not at all. Flag any plan where direct outreach would be inappropriate because the consultant holds full discretion.

Using Dakota Marketplace, build me a route-optimized Q4 roadshow itinerary. I run institutional sales for a $6B alternatives manager and have 12 travel days between October 6 and November 14. Pull every allocator account in my qualified universe - public pensions, endowments, foundations, and OCIOs with $500M+ AUM that allocate to private credit - and group them by Dakota metro area. For each metro, count (a) total qualified accounts, (b) accounts with an open or recently disclosed private credit search, and (c) accounts where we have no logged contact in the last 18 months. Rank metros by a weighted score of those three factors. Then propose a four-city itinerary that minimizes flight legs, and for each city give me a day-by-day schedule of 4-5 target meetings with the specific contact name, title, email, and phone from Dakota, plus a one-line reason each account is a priority. Flag which targets are consultant-gated and name the consultant of record so I can book parallel consultant meetings in the same city. Finally, use Dakota Recommendations to suggest one breakfast, one lunch, and one dinner venue per city suitable for client meetings, and identify any accounts in nearby secondary cities worth a same-day drive.

Using Dakota Marketplace, build me a ranked co-investment syndication list for an $85M equity check in a tech-enabled healthcare services platform. Screen for allocators with (1) a documented co-investment program or separately managed co-invest sleeve, (2) private equity allocations of $500M+ with capacity for direct or co-invest deals, (3) prior co-invest activity in healthcare or business services, and (4) a decision timeline under 60 days where noted. For each institution return: name, type, city and state, total AUM, PE allocation %, co-invest program details, typical co-invest check size, the private equity or direct investments contact with title and email, our last meeting date and full meeting history, and current pipeline status. Rank by co-invest fit and flag any institution where we have an existing fund LP relationship - those get called first. Then group the top 15 into three outreach tiers with a recommended first-touch angle for each tier.

Using Dakota Marketplace, build me a wealth-platform gatekeeper map for launching a new evergreen private credit interval fund into the U.S. intermediary channel. Include wirehouses, national and regional independent broker-dealers, RIA aggregators, bank trust platforms, and the largest hybrid RIAs. For each platform, give me: total advisor-facing AUM, whether they currently maintain an approved alternatives shelf and which structures they accept (interval fund, tender offer, non-traded BDC, LP feeder), the named alternatives research or due diligence lead plus their manager research analysts with direct contact information, the platform's stated minimum track record and firm AUM requirements, any manager additions or removals to their alts platform in the last 18 months, and whether our firm has any existing coverage or prior meeting history with them. Then rank the platforms into three approval waves: Wave 1 (highest probability of approval within two quarters based on structure fit and stated criteria), Wave 2 (approvable but requires longer diligence or a track record milestone), and Wave 3 (poor fit or closed shelf). For each Wave 1 platform, tell me the specific gatekeeper to contact first, what they most recently added to the shelf, and the single objection I should be prepared to answer.

Using Dakota Marketplace, pull our current Fund IV pipeline of 40 prospective LPs and cross-reference each against Form ADV data to identify which are registered investment advisers or state pension plans with placement-agent or solicitor disclosure requirements. For each LP, show me: entity type, state of domicile, whether a placement-agent registration or disclosure has historically been required for that plan type, our internal contact and current pipeline stage, and the date of our last touchpoint. Flag any LP where our placement agent's registration status is unclear so I can route to compliance before the next outreach round. Group the output into 'Clear to Contact,' 'Requires Compliance Review,' and 'Placement Agent Prohibited' tiers.

Using Dakota Marketplace's conference database, identify the five upcoming institutional investor conferences in Q4 2026 with the highest concentration of endowments and foundations from our target list that have $500M-$5B in AUM and an allocation to private equity. For each conference, show me the event name, date, location, and which of our target LPs have historically attended similar events based on Dakota's data. Cross-reference against our CRM to flag which attendees we have no existing relationship with, and rank the five conferences by the number of net-new, high-priority LP touchpoints they could generate. Return a travel and sponsorship prioritization memo I can bring to our head of fundraising.

Using Dakota Marketplace, pull our top 20 allocator relationships by current commitment size across our multi-strategy platform. For each account, show me: current AUM and channel type (public pension, corporate pension, endowment, foundation, insurance, etc.), metro area, our logged meeting history over the last 12 months with dates and outcomes, current investment preferences on file, key decision-maker contacts with title and direct email, and any position or role changes flagged in the last 90 days. Flag any account with no logged touchpoint in the last two quarters as at-risk for our quarterly business review, and rank the full list by combined AUM and touchpoint recency so I can prioritize which relationship summaries to write first.

Using Dakota Marketplace, pull our top 25 institutional LP relationships ranked by current commitment size across all our funds. For each account, show total institutional AUM, channel type (public pension, corporate pension, endowment, foundation, insurance, sovereign wealth, or family office), current allocation percentage to our asset class where disclosed, and any allocation, leadership, or mandate changes logged in the last 6 months. Flag any LP where our fund likely represents an outsized share of their disclosed category allocation, and any LP whose allocation posture or key contacts have shifted materially. Return a PDF risk memo I can share with Compliance and the CIO ahead of our quarterly investor concentration review.

I'm the Director of Product Strategy at a $4B growth equity firm preparing our Q3 LPAC update. Using Dakota Marketplace, pull performance benchmark data for our Fund III (2021 vintage) against three named competitor funds of the same vintage and strategy. Include net IRR, TVPI, and DPI where available, plus which public pensions and endowments have committed to each competitor fund based on Dakota's public pension investment data. Flag any competitor fund that has outperformed us on net IRR by more than 300bps, and note which of our current LPs are also invested in that outperforming fund. Return a PDF benchmarking summary I can present to our LPAC next week.

I'm launching a $750M sustainable private credit fund and need to build a targeted LP list. Using Dakota Marketplace, identify allocators — public pensions, foundations, and insurance general accounts — with a documented ESG, impact, or sustainability mandate and AUM between $2B and $30B. For each institution, show total AUM, ESG/impact allocation target or policy language if disclosed, current private credit allocation percentage, the CIO or Head of Sustainable Investing contact with title and direct email, and any recent commitment (last 12 months) to a similar sustainability-linked strategy. Flag institutions that have publicly stated an intent to increase impact allocations. Return a ranked target list of the top 20 prioritized by AUM and mandate alignment I can bring to our fundraising kickoff.

Pull contacts across investment firms with $2B-$15B AUM in credit and multi-strategy asset classes who have had a 'Head of Investor Relations' or 'Head of IR' title change (departure or new firm) flagged in Dakota's position tracking in the last 90 days. For each, include: name, previous firm, previous title, new status (departed/new firm), LinkedIn if available, and current tenure length at prior firm. Sort by seniority and firm AUM descending. Flag any who previously worked at our fund's peer set list: [insert 10 firm names].

We're exhibiting at the Institutional Investor Private Credit Forum next month. Using Dakota Marketplace's conference attendance data, pull every allocator confirmed or historically attending this conference (or its prior three years) with AUM between $1B and $50B and an active allocation to private credit. Cross-reference against our current LP base and pipeline to flag: (1) existing LPs we should schedule dedicated meetings with, (2) pipeline contacts with recent activity who'll be on-site, and (3) net-new prospects with no contact history. For each, show institution name, AUM, private credit allocation %, the specific decision-maker attending (name, title, email) if known, and last touchpoint date from our CRM notes. Return a PDF meeting-prep roster organized by priority tier that our team can use to book 20-minute conference meetings in advance.

Pull my firm's investor contact list from Dakota Marketplace along with meeting history, email engagement, and content download activity for the trailing 12 months. Build a weighted engagement score (40% meeting recency, 30% email response rate, 30% content interaction) for each LP relationship, rank all active relationships from highest to lowest engagement, and flag any allocator with a score below the 25th percentile that hasn't had a touchpoint in 90+ days as an 'at-risk' relationship needing outreach this month.

Pull the current contact list for every LP in our active pipeline and cross-check names, titles, and email domains against Dakota's investor database. Flag any contact whose title has changed, who has left the institution, or who Dakota shows a more current decision-maker for. Also flag any LP where Dakota lists a private markets contact we don't currently have in our CRM. Output a table with LP name, our CRM contact, Dakota's current contact, discrepancy type, and recommended action.

Pull every LP meeting logged in Dakota Marketplace over the last 30-60 days that has no follow-up touchpoint (email, call, or meeting) recorded since. For each, show institution name, AUM, meeting date, attendees, stated interest level or notes from the meeting, and the assigned relationship owner. Rank the list by AUM descending within each interest-level tier (High/Medium/Low), and flag any LP where more than 45 days have passed with zero follow-up as 'at risk of going cold.' Return a prioritized outreach list as a PDF our fundraising team can work through this week.

Using Dakota Marketplace, pull every allocator we logged a meeting with between January 2024 and June 2025 that did not commit to our Fund III (mid-market healthcare services buyout). For each one, show what has changed since they passed: (1) turnover in the CIO, Head of Private Equity, or covering analyst, naming the departed and new person with start dates; (2) commitments made since their pass to lower-middle or mid-market healthcare buyout funds, with manager, fund, amount and date; (3) changes to their target private equity allocation or pacing plan per the latest board or IC materials; (4) whether they changed investment consultant. Include the original pass reason from our meeting notes where logged. Score each LP as Re-Approach Now / Monitor / Closed, then give me a one-line re-engagement angle and the best current contact (name, title, email, phone) for the top 10. Output as a table sorted by score, then AUM.

I'm raising a $600M climate solutions private equity fund and need to prioritize outreach to allocators with active ESG or impact mandates. Using Dakota Marketplace, identify foundations, endowments, and public pensions with AUM over $1B that have an explicit ESG, impact, or sustainability investment preference tagged, and that have made a private equity commitment in the last 18 months. For each, show the account name, AUM, ESG mandate details, the primary decision-maker with title and direct email, and their most recent related commitment (fund name, date, size if disclosed). Rank by AUM and flag any that have public plan minutes referencing climate or impact themes in the last two quarters. Return a PDF target list I can bring to my investment committee before we finalize the roadshow.

Using Dakota Marketplace, pull every public pension and Taft-Hartley plan RFP or manager search in our private credit and direct lending category over the last 18 months where we were shortlisted but not selected. For each, show the plan name, AUM, the winning manager, the stated selection rationale from Public Plan Minutes if disclosed, and the consultant of record. Group by winning competitor and flag any competitor who has beaten us three or more times. Return a PDF battlecard ranked by frequency that I can share with our investment team before our next win/loss review.

It's late September and I want to catch allocators who still have unspent 2026 private markets budget. Using Dakota Marketplace, identify pension plans, endowments, foundations, and OCIOs whose disclosed 2026 pacing plan or target commitment budget for private credit and infrastructure is less than 60% deployed year-to-date, based on commitments logged in Dakota's investment activity data. For each allocator, show: allocator name, type, AUM, 2026 target commitment budget, commitments made YTD, estimated remaining budget, number of 2026 commitments, average ticket size, next scheduled investment committee or board meeting date before 12/31, consultant of record, and the decision-maker contact (name, title, email, phone). Exclude any allocator we already have in active pipeline status in our CRM notes, and flag any that have met with us in the last 18 months. Rank the top 12 by remaining budget multiplied by strategy fit, add a Year-End Urgency signal (High / Medium / Low) based on how many IC meetings remain this year, and recommend the single best outreach angle for each in one sentence.

Using Dakota Marketplace, pull every allocator account currently tagged to our Fund VI pipeline ($1.25B target, first close closed at $610M). For each LP, show: account name, allocator type, AUM, private equity target allocation vs. current allocation, whether they committed to Fund IV or Fund V and at what size, date and type of our last meeting, any Fund VI data room or document activity, and any public plan minutes or board meeting dates in the next 120 days that reference buyout commitments. Score each LP's probability of committing by our March 31, 2027 final close (High = 70%+, Medium = 35-69%, Low = under 35%) based on re-up history, allocation headroom, meeting recency, and approval calendar, and estimate a likely check size from their historical commitment sizes. Return a ranked table with Probability, Expected Commitment, and Probability-Weighted $ columns, total the weighted pipeline against the $640M still needed, and list the five LPs where one more meeting would most change the forecast, with the named decision-maker and their contact details for each.

Using Dakota Marketplace, look at our five strongest existing LPs: [LP 1], [LP 2], [LP 3], [LP 4], [LP 5]. For each, pull investor type, total AUM, alternatives allocation %, target allocation to private credit, general consultant, and geography. Build a composite 'ideal LP' profile from the overlap, then find 12-15 allocators in Dakota that match at least four of those six attributes and have NO logged meeting or email with our firm in the last 24 months. For each look-alike return: institution name, investor type, AUM, alts allocation %, consultant, the matching attributes, the closest existing-LP 'twin,' the most relevant decision-maker (name, title, email), and a fit score (Strong / Moderate / Weak). Rank by fit score then AUM, and close with three sentences on which look-alike segment we are most under-covering.

Using Dakota Marketplace, take our top 40 cold allocator targets (public pensions, endowments, foundations, and single-family offices with $1B+ AUM and an active growth equity or late-stage venture allocation) and find warm-introduction paths into each one. For every target, pull the current private markets decision-makers (CIO, Head of Private Equity, Senior Investment Officer) and review their Dakota career history. Flag any decision-maker who previously worked at one of our existing LPs, at a consultant or OCIO that covers us, or at the same prior employer as anyone on our investment team. Return a table with: target allocator, account type, AUM, decision-maker name and title, the connection (shared prior employer, former LP colleague, or consultant overlap), the best internal or LP 'introducer', path strength (Strong / Moderate / Weak), and the last Dakota-logged meeting or conference interaction. Rank by path strength and allocation fit, and add a one-line suggested intro ask for the top 10.

Using Dakota Marketplace, find pension funds, insurance companies, sovereign wealth funds, and endowments/foundations with more than $5B in AUM that have made at least one separately managed account (SMA) or fund-of-one commitment to a private credit or opportunistic credit manager in the last 24 months. For each allocator, return: account name, type, AUM, current private credit allocation (% and $), the SMA/fund-of-one commitments found (manager, strategy, size, date), and whether they also invest in commingled credit funds. Add the CIO and the head of fixed income/private credit with titles, emails, and phone numbers, and flag the consultant of record. Score each allocator High / Medium / Low on SMA propensity based on how many of their recent credit commitments were customized mandates, and sort by score, then AUM. Finish with a 3-bullet summary of the minimum ticket sizes and structures these allocators typically require.

Using Dakota Marketplace, I'm hosting an intimate LP dinner in Chicago the week of November 9 for our Fund IV ($650M target, lower mid-market industrial buyout). First, pull 12-15 Chicago-metro allocators (endowments, foundations, family offices, corporate and public pensions, and OCIO/consultant offices) that have a private equity allocation, have committed to a buyout fund under $1.5B in the last 24 months, and have at least one contact titled CIO, Director of Private Equity, or Senior Investment Officer. For each, show AUM, PE allocation %, most recent buyout commitment, primary contact name/title/email, office neighborhood, and any prior meeting history we have logged. Then use Dakota Recommendations to suggest 3 Dakota-certified restaurants with private dining rooms for 12-16 guests within a 10-minute walk of the densest cluster of those offices, noting cuisine, private-room capacity, and price tier. Rank the invite list by fit and flag anyone who passed on our last fund.

Using Dakota Marketplace, identify the 15 US public pensions, corporate pensions and endowments with $2B+ AUM whose most recent public plan minutes, investment committee materials or Dakota investment updates (last 6 months) show actual private equity or private credit exposure BELOW the policy target (e.g., actual 11% vs. 14% target). For each, return: account name, type, AUM, target vs. actual allocation and the gap in dollars, remaining 2026/2027 pacing budget if disclosed, consultant of record, date of the next board/IC meeting, and the CIO and head of private markets with email and phone. Flag whether we have any meeting history with them in the last 12 months. Rank by dollar capacity gap, color-code each as High / Medium / Low urgency based on how soon their next meeting is, and finish with a one-paragraph outreach angle for the top 5 that references their specific underallocation.

Using Dakota Marketplace, pull every active manager search, RFP, or RFI issued in the last 60 days by public pensions, Taft-Hartley plans, endowments, and consultants for direct lending, senior secured private credit, or asset-based finance. For each search, return: allocator name, allocator type, state, total AUM, private credit allocation and target %, mandate size, the consultant running the search (if any), submission deadline, and the investment staff contact plus consultant contact with title, email, and phone. Cross-reference against our Dakota activity history and flag whether we have met with the allocator or consultant in the last 24 months. Sort by days remaining until deadline, then rank each search Strong / Moderate / Low fit based on mandate size versus our $1.5B fund, US-only focus, and senior secured mandate. End with the three searches we should prioritize this week and why.

Using Dakota Marketplace, find every pension, endowment, foundation, and family office with $1B-$25B in AUM that has announced a new CIO, Deputy CIO, or Head of Private Markets in the last 120 days. For each, show: allocator name, type, state, AUM, current private equity allocation %, the new executive's name and prior employer, start date, and whether their prior employer ever committed to a growth equity fund. Cross-reference our Dakota meeting history and flag any allocator where we have had zero contact in 24+ months. Pull the new executive's direct email and LinkedIn, plus the investment staff member most likely to screen growth equity. Rank by (1) prior-employer growth equity exposure, (2) days since the hire, and (3) private equity allocation size, and return a top 10 table with a one-line suggested opening angle for each.

Using Dakota Marketplace, find public pensions, Taft-Hartley plans, endowments, and foundations with $1B-$40B in AUM that changed their general or private markets investment consultant in the last 9 months, based on Dakota account updates, Fundraising News, and public plan meeting minutes. For each, show the allocator name, type, state, AUM, current infrastructure/real assets allocation vs. target, prior consultant, newly hired consultant, the date the change was approved, and whether minutes reference a portfolio review, pacing study, or manager-roster evaluation in the next two quarters. Also pull the lead consultant contact on the account and the allocator's CIO or Head of Real Assets with email and phone. Flag plans where we have no existing relationship, rank by (1) infrastructure underweight vs. target and (2) upcoming review dates, and draft a two-sentence intro note for the top five that references the consultant transition.

Using Dakota Marketplace, help me fill 12 prospect seats at our Annual Investor Meeting in Chicago on November 18. We are a $2.1B lower-middle-market buyout firm (industrials and business services) and plan to launch Fund V in Q2 2027. Pull allocators that are NOT current LPs (exclude the attached LP list) and that: (1) have committed to at least one North American buyout fund under $3B in the last 36 months, (2) have a private equity allocation at or below target, and (3) have a decision-maker within a 3-hour flight of Chicago. For each, show account name, type, AUM, PE allocation vs. target, most recent buyout commitment (manager, fund, amount, date), the best invitee (name, title, email, phone), and any meeting history or Dakota activity with our firm in the last 18 months. Rank by a fit score (mandate fit 50%, engagement 30%, travel proximity 20%) and flag a Signal of Strong, Moderate, or Low. Return the top 15 so I have 3 alternates, then draft a two-sentence personalized invite line for each of the top 5.

Using Dakota Marketplace, identify public pensions, endowments, foundations, and insurance companies with $2B-$40B in AUM that have disclosed an LP-interest secondary sale or a rebalancing of their private equity book in the last 12 months (check public plan minutes, fundraising news, and account updates). For each allocator show: PE target vs. actual allocation, size of the secondary sale if disclosed, 2026 pacing budget for new PE commitments, number of buyout commitments made since the sale, whether we have an existing relationship, and the CIO and head of private equity with email and phone. Rank by freed-up capacity relative to pacing budget, flag any allocator that has said it is re-opening to new manager relationships, and draft a one-line outreach angle for the top 10.

Using Dakota Marketplace, find every faith-based allocator in the U.S. with $250M-$15B in AUM: church and denominational pension boards, Catholic dioceses and archdiocesan investment trusts, religious orders and congregations, and faith-affiliated foundations and health ministries. Keep only accounts that list private credit, direct lending, or private debt as an asset class or have a documented private credit commitment in the last 4 years, and flag any that publish a values-based or USCCB-aligned investment screen. For each, return: account name, account type, city/state, AUM, private credit allocation or commitments on record, most recent private markets commitment (manager, fund, date), whether they use an investment consultant or OCIO (name it), and the CIO plus the staff member who covers fixed income or private credit with title, email, and phone. Rank the list by fit for a $750M senior-secured lower-middle-market direct lending fund with no exposure to excluded sectors, flag any account that has met with us before in our meeting history, and end with a short note on the three accounts where the consultant is the true decision gate.

Using Dakota Marketplace, identify pensions, endowments, foundations, and multi-family offices that are current LPs in lower mid-market industrial or business-services buyout funds where the GP has, in the last 12 months, announced a team spin-out, stopped raising a successor fund, or lost a named senior partner. For each allocator show: allocator name, type, AUM, private equity allocation %, the affected incumbent manager and what happened, the allocator's last PE commitment date and size, and the primary private equity decision-maker with title, email, and phone. Flag whether we already have meeting history with them in Dakota. Rank by likelihood of an open replacement slot (recent commitment pace plus size of exposure to the affected manager) and return the top 12, each with a one-line suggested opener that acknowledges the change without disparaging the incumbent.

Using Dakota Marketplace, find institutional allocators (public pensions, endowments, foundations, healthcare systems, insurance GAs, and multi-family offices) with $1B-$25B in AUM that added at least one private markets or private credit investment professional (Analyst, Associate, Director, or Senior Investment Officer) in the last 180 days, based on Dakota contact-level additions and title changes. Limit to allocators with a documented private credit or opportunistic credit allocation and no current commitment to our firm. For each, show: allocator name, type, AUM, current private credit allocation %, number of private markets staff today vs. 12 months ago, the name, title, and start date of the newest hire, their prior employer, last logged meeting with us (if any), and a Capacity Signal (Strong / Moderate / Weak) based on hire seniority and whether the team grew net-new vs. backfilled. Rank the top 12, then draft a two-sentence intro note for the top 3 addressed to the new hire, referencing their move and our direct lending strategy.

Using Dakota Marketplace, find Canadian allocators outside the Maple 8 (exclude CPP Investments, CDPQ, OTPP, OMERS, BCI, PSP, AIMCo, and HOOPP) that have committed to at least one US-based lower mid-market or mid-market buyout fund since January 2023. Include public and corporate pensions, university endowments, foundations, and single/multi-family offices with $500M-$25B AUM. For each, return: allocator name, type, city/province, AUM, private equity allocation (current vs. target), most recent US buyout commitment (fund, vintage, size), consultant of record, and the two most relevant contacts (CIO / Head of Private Markets) with email and LinkedIn. Flag Quebec-domiciled entities that may require French-language materials and any plan that only invests through a consultant-approved list. Rank the list by fit for a $650M Fund IV focused on US industrial and business services companies, then group the top 12 into a 3-city in-person itinerary (Toronto, Montreal, Calgary/Vancouver) with suggested meeting order.

Using Dakota Marketplace, pull every allocator currently in my Fund III pipeline (stages: Intro Meeting, Diligence, and Soft Circle). For each one, look up total AUM, private equity target allocation %, and their last 5 disclosed private equity commitments (manager, fund, vintage, commitment size). Calculate their median commitment size and their median commitment as a % of the receiving fund's size. Then recommend a target ask for our $1.2B Fund III using both lenses, flag any LP where our current CRM soft-circle amount is more than 40% above or below that recommended range, and note whether they have made a growth equity commitment in the last 24 months. Return a table sorted by recommended ask (largest first) with columns: Allocator, Type, AUM, PE Target %, Median Commitment, Recommended Ask, CRM Soft-Circle, and Calibration Signal (Aligned / Stretch / Under-asked). Finish with 3-4 notes on where we are leaving money on the table and where we risk an awkward downsizing conversation late in the raise.

Using Dakota Marketplace, pull every allocator I logged a meeting or call with between October 2024 and October 2025 that never advanced past first meeting. For each one, check what has changed since our last touch: new commitments to growth equity or late-stage venture funds (fund name, vintage, size), changes to their private equity target allocation, new CIO or private markets hires, departures of the contact we originally met, and any open manager searches. Rank the list by strength of the new signal, flag anyone whose original contact has left (and name the replacement), and give me a two-sentence re-engagement angle for the top 12 that references the specific change rather than a generic check-in.

Using Dakota Marketplace, find US public pension plans with $2B-$25B in AUM that (1) have a private equity target allocation of at least 8%, (2) have approved at least one buyout commitment of $25M-$75M in the last 24 months, and (3) have a board or investment committee meeting scheduled in the next 30-90 days. For each plan, return: plan name, state, AUM, PE target vs. actual allocation, general consultant, date of the next board/IC meeting, the last 3 PE commitments with fund names and amounts, and the CIO and Head of Private Equity with email and phone. Flag plans where we have no logged meeting in the last 12 months, and rank the list by days-until-meeting so my team knows who to call this week before their consultant locks the agenda.

Using Dakota Marketplace, pull every LP currently soft-circled or in legal review for our Fund IV ($850M target, lower middle-market buyout, final close targeted for Q1 2027). For each, show investor type, AUM, private equity allocation, expected commitment size, and any known policy constraints (public records/FOIA exposure, placement agent disclosure rules, ESG or sector exclusions, tax-exempt or sovereign status). Based on investor type and size, flag the side-letter terms each LP is most likely to request (fee breaks, MFN election rights, co-invest rights, LPAC seat, excuse rights, enhanced ESG or ILPA reporting) and rank them by negotiation complexity. Then show which MFN tiers our largest commitments would unlock for smaller LPs so legal can model the cascade before we circulate final docs.

Using Dakota Marketplace, build a ranked target list for a five-day Sydney / Melbourne / Auckland roadshow in February 2027 for our $1.75B Core-Plus Infrastructure Fund III. Include Australian superannuation funds, state-government investment corporations, New Zealand crown/sovereign entities, and university endowments with at least A$10B AUM and a documented unlisted infrastructure allocation. For each allocator return: AUM, current vs. target infrastructure allocation %, number of external infrastructure managers and whether any are US-domiciled, most recent infrastructure fund commitment (manager, fund, size, date), the head of infrastructure/unlisted assets plus one portfolio manager with email and LinkedIn, consultant or asset-consultant relationship, and any mandate or RFP activity in the last 12 months. Flag allocators that now invest almost exclusively via direct or co-investment (low fund appetite). Score each Strong / Moderate / Low fit, group the list by city for scheduling, and finish with 3-4 priority notes covering meeting sequencing, the currency-hedging and fee questions we should prepare for, and which meetings need asset-consultant pre-clearance.

Using Dakota Marketplace, identify US public pension plans, state investment boards, and state-affiliated endowments that run a formal in-state, economic-development, or home-state private equity program (statutory targets, policy carve-outs, or a dedicated sleeve). Our firm is headquartered in Columbus, Ohio, and 60% of Fund IV's portfolio companies are in Ohio, Indiana, Michigan, and Pennsylvania. For each allocator, return: plan name, total AUM, private equity target allocation %, size of the in-state program if disclosed, whether the program is run in-house or through a fund-of-funds or consultant, the last three in-state commitments with manager and amount, the program's eligibility rules (HQ location, % of capital deployed in-state, employee headcount), and the Director of Private Equity and in-state program lead with email and phone. Flag any program that increased its allocation or opened an RFP in the last 12 months, and rank the list by fit for a $450M lower-middle-market buyout fund targeting $20-40M commitments.

Using Dakota Marketplace, identify public pensions, endowments, foundations, and single-family offices with calendar-year commitment budgets that appear under-committed to private equity for 2026. Compare each allocator's 2026 PE commitments logged in Dakota (count and dollar total) against its stated annual pacing target or, if none is recorded, its trailing three-year average annual PE commitment. Keep only allocators that are below 70% of target and have a board or investment committee meeting scheduled before December 19, 2026. For each, return: allocator name, type, AUM, PE target allocation %, 2026 pacing target, 2026 commitments to date, % of pace, remaining gap ($), next IC/board date, consultant of record, and the decision-maker on the private equity team with title, email, and last Dakota-logged contact date. Rank by remaining gap, flag any that have committed to a lower middle-market buyout fund in the last 36 months, and give me a one-line year-end pitch angle for the top 10.

We're launching a single-asset continuation vehicle for our largest Fund II holding (a specialty pharmacy platform), with a 30-business-day LP election window opening January 12, 2027. Using Dakota Marketplace, pull every LP in our Fund II and Fund III and for each show: allocator type, AUM, current private equity allocation vs. target, any documented secondaries or continuation-vehicle activity (as buyer or seller), recent CIO or investment staff changes, and the date and outcome of our last logged meeting. Score each LP Roll / Sell / Undecided based on those signals and estimate the dollar value likely to be sold. Then identify 10 secondaries buyers and fund-of-funds in Dakota with recent continuation-vehicle commitments in healthcare that could backfill the sell side, with the decision-maker's name, title, email, and phone. Return a ranked table with a one-line rationale per LP.

Using Dakota Marketplace, pull every pension, endowment, foundation and single-family office in our Fund IV pipeline (stage: Intro Call through Diligence) that allocates to private equity buyout and has AUM above $750M. For each, show fiscal year-end month, next scheduled investment committee or board meeting date (from Dakota meeting notes and public board calendars), current private equity target vs. actual allocation, last commitment to a buyout fund and its date, and our last logged meeting. Calculate a 'pitch-by' date 10 weeks ahead of their next IC meeting, then sort by pitch-by date for the next 120 days. Flag any allocator whose fiscal year resets January 1 or July 1 and is under-allocated to PE by 1%+ as Priority. Output a ranked table plus a week-by-week outreach calendar my team can load into Salesforce.

Using Dakota Marketplace, find US public pensions, endowments, foundations and corporate pensions that completed or adopted a new asset allocation study (strategic asset allocation review) in the last 12 months and increased their target to private equity, private credit or real assets by at least 2 percentage points. For each, show: institution name, type, AUM, old vs. new target for the asset class that changed, the consultant that ran the study, the date the board approved it, and the private-markets contacts (CIO, Head of Private Markets, senior PM) with email and phone. Flag whether we have any meeting history with them in our CRM notes and whether they've made a commitment in the last 6 months to a manager with a strategy similar to our Fund V (lower-middle-market buyout + private credit sleeve). Rank the top 10 by size of the new dollar gap between current and target allocation, and add one sentence on why each is an outreach priority this quarter.

I'm Head of Business Development at a $3B infrastructure manager with a $450M co-investment sleeve alongside our flagship fund (Fund III, final close in Q1 2027). Using Dakota Marketplace, build a ranked co-invest syndication list of 12 allocators — public pensions, sovereign funds, insurers and family offices — that (1) have a stated infrastructure target allocation of 5%+, (2) have made at least one direct or co-investment commitment in energy transition or digital infrastructure in the last 24 months, and (3) have $20B+ in AUM. For each, show AUM, current infrastructure allocation vs. target, last co-invest commitment (date, sector, size), whether they currently hold or are in diligence on any of our peer managers, the most senior infrastructure contact with title and last Dakota-logged meeting date, and a Strong/Moderate/Low fit signal. Flag any LP already in our Fund III pipeline so we don't double-pitch, and end with 3 priority notes on who to approach first and why.

I run IR for a $1.8B real estate credit manager raising Fund III ($750M target) and need to find LPs with real momentum into real estate debt. Using Dakota Marketplace, find institutional allocators (public pensions, insurers, endowments, foundations, and multi-family offices with $1B+ AUM) that have increased their real estate debt or private credit-real estate allocation over the last 12 months, or whose current real estate debt weight sits below the stated target. For each, show AUM, current vs. target real estate debt %, most recent real estate debt commitment (manager, size, date), whether they have an open or expected mandate, the investment staff contact responsible, and any prior meeting history with us. Rank the top 10 by likelihood of a near-term commitment, flag which have an upcoming board or investment committee meeting in the next 90 days, and recommend the first outreach angle for each.

Using Dakota Marketplace, identify 12 institutional allocators (insurance general accounts, public pensions and sovereign-linked funds in North America, Europe and the Gulf) with documented infrastructure debt or private infrastructure credit commitments in the last 36 months. For each, show AUM, real assets allocation %, most recent infrastructure debt commitment and manager, consultant, decision-maker and title, last meeting date from our meeting history, pipeline status, and a Fund III fit signal (Strong/Moderate/Low) based on ticket size versus our $2.8B senior-secured platform. Sort by fit, then flag the three to approach first and explain why.

Find all endowments and foundations in the Southeast that invest in private credit with AUM over $2b. Return the CIO and the best contact for private credit. Draft an email campaign that is tailored and customized for a roadshow.

I run distribution for a large private credit firm. We are raising money for a direct lending strategy and are looking to target RIAs and financial advisors. I am onboarding a new teammate who will be covering the West Coast. Specifically Oregon and Northern California. Help me create a target list for them. Who should they focus on, what is their TAM by major metro area and what would be a good email template for them to start with . Create all of this using Dakota Data and present me with a PDF that I can share on their first day on the job.

I cover RIAs in the South East. What is my tam? Who am I missing? What are some tertiatry markets I should think about?

I work for Charlesbank and I’m raising money for private equity. I’m going to the Milken conference in LA. Using dakota marketplace and the web find me key targets at LPs I should reach out to.

I run institutional sales at a $40B asset manager. Build me an eight-week roadshow plan to pitch our new BDC sub-advisory platform to U.S. life insurance GAs above $5B.

I run consultant relations for a global infra equity firm raising a $6B Fund V. Build me a target list of OCIOs and consultants with active or upcoming infra searches, the research head at each, and the firms worth lower-priority touch.

I'm raising Fund III for a $1.5B B2B SaaS growth equity firm. Map U.S. SFOs $500M+ that allocate to growth equity by metro and score them on fit.

I run distribution at a $7B real estate debt manager. Pull every U.S. public pension above $10B with real estate debt eligibility, show me the consultant of record and PM at each, and tell me what the right cadence looks like.

I just took over the Mid-Atlantic and Texas territories at a $4B real assets manager. Build me a wholesaler playbook for RIAs $1B+ with alts utilization for our interval fund — TAM by metro and who to call first.

I'm raising a Tiger-style multi-strat hedge fund. Pull every U.S. endowment, foundation, and healthcare system above $1B with active hedge fund books — top fifteen with CIO, hedge fund PM, and an institutional-tone intro.

I'm a Director of IR at a mid-market buyout firm. Pull up all LP accounts in our pipeline marked 'Active Prospect' that haven't had a logged meeting or call in the last 90 days. For each, show me the AUM, last contact date, primary contact name and title, and which fund they're evaluating. Rank by AUM descending so I can prioritize re-engagement and prep tailored follow-up talking points for each.

I'm leading fundraising for a $2B growth equity fund focused on B2B software. Build me a list of endowments and foundations between $500M and $5B AUM that currently allocate to growth equity or venture capital through an OCIO or consultant. Show the OCIO firm name, consultant of record, investment contact at each institution, their strategy preferences, and any recent manager presentations. Flag accounts where the OCIO has approved growth equity mandates in the last 18 months and prioritize the top 20 most actionable targets.

I run institutional sales for a $15B infrastructure equity manager and we are launching a $4B infrastructure fund targeting non-U.S. capital. Using Dakota Marketplace, identify sovereign wealth funds and government pension reserves globally - including Middle East SWFs, Nordic pension funds, and Asian government reserves - with an existing infrastructure allocation and AUM above $10B. For each, show the infrastructure team lead or head of real assets, their historical infrastructure commitment sizes, preferred co-investment appetite, and geographic focus. Flag any that have made a new infrastructure commitment in the last 18 months and prioritize the top 20 for first outreach.

I'm a VP of Institutional Sales at a $6B alternatives firm. Our most recent buyout fund closed 14 months ago and we begin pre-marketing our next vehicle in Q3. Using Dakota Marketplace, identify all LPs in our database who committed to our prior two funds but haven't been contacted in the last 120 days. For each, show AUM, current alternatives allocation percentage, most recent commitment to any manager, primary decision-maker contact, and a recommended re-engagement talking point based on their stated investment priorities. Flag any accounts where the CIO or head of alternatives has changed in the last 12 months — those need relationship resets. Return a ranked re-engagement list as a PDF.

I'm head of capital formation at a $4B mid-market buyout fund and we're preparing for our Fund V raise. Using Dakota Marketplace, identify investment consultants and OCIO firms in North America that advise at least $5B in assets and have made a recommendation to a buyout fund in the last 18 months. For each, show the firm name, AUM advised, key decision-maker contact (name, title, email), their stated preferences for buyout fund size and sector focus, and any recent RFP or mandate activity. Flag consultants where our fund profile most closely aligns with their published investment criteria. Return a ranked PDF of the top 25 targets with a suggested first outreach angle for each.

Pull a targeted list from Dakota Marketplace of single-family offices and multi-family offices that have made documented allocations to private credit or direct lending strategies in the past 18 months. Filter for offices with AUM over $500M located in the Midwest or Mid-Atlantic. Exclude any accounts where my team has logged a meeting or call in the past 6 months. For each, return: firm name, city, total AUM, primary investment contacts (name, title, email), investment preferences, and the most recent allocation activity on record. Rank by likelihood to allocate based on recent activity.

I'm raising Fund IV for a $3B real assets manager focused on infrastructure and real estate debt strategies. We've had strong success with pension funds and endowments but have almost no insurance company LPs. Using Dakota Marketplace, pull all insurance companies in North America and Europe with AUM over $5B that have an allocation to real assets, infrastructure, or private credit. For each, show the organization name, AUM, location, key investment decision-makers with titles and direct contact info, any recent mandates or commitments to real assets strategies, and whether they have an existing relationship with a placement agent or gatekeeper. Rank the list by AUM and flag any that have made a new commitment to a strategy in our category in the last 18 months.

Search Dakota Marketplace for family offices that meet all of the following criteria: (1) have made at least one prior commitment to a lower mid-market buyout fund (sub-$1B fund size), (2) typical check size between $5M and $25M, (3) based in the US, (4) direct investment team of at least 2 people. For each result, return: family office name, city, AUM, investment team headcount, key decision-maker name and email, most recent PE fund commitment (manager, vintage, amount), and any notes on preferred sectors or geographies. Segment results into Tier 1 (prior buyout commit + check size match) and Tier 2 (check size match only) so I can prioritize outreach sequencing for our Q3 close.

Search Dakota Marketplace for public pension funds headquartered in Colorado, Utah, Wyoming, Montana, Idaho, North Dakota, South Dakota, Nebraska, and Kansas that allocate to large-cap buyout strategies. Filter for pensions with AUM over $500M and show me each fund's primary investment contact name, title, email, direct dial, current private equity allocation percentage, AUM, most recent new manager meeting date, and any notes on their consultant relationships. Highlight funds where the investment officer has been in their role for fewer than 18 months, as these represent the strongest new relationship opportunities. Sort by AUM descending.

Using Dakota Marketplace, build me a list of institutional allocators in Asia-Pacific — specifically sovereign wealth funds, government pension plans, and large insurance companies in Japan, South Korea, Australia, and Singapore — that have demonstrated allocations to U.S. or global private equity in the last three years. For each, provide: AUM, alternatives target allocation percentage, existing PE manager relationships, key investment decision-makers with direct contact information, whether they work with a consultant or OCIO, and any recent public mandate or RFP activity. I'm preparing for a roadshow to APAC and want to prioritize first meetings with the 10 allocators most likely to be receptive to a mid-market buyout strategy.

I'm raising a $750M infrastructure debt fund with a focus on energy transition and digital infrastructure in North America. My thesis is a strong fit for endowments that have recently increased real assets allocations and have a stated interest in energy transition or climate-adjacent strategies. Using Dakota Marketplace, identify university endowments with AUM between $500M and $5B that (1) have a current real assets or infrastructure allocation of at least 5%, (2) have made a new infrastructure or real assets commitment to a manager in the last 24 months, or (3) have a sustainability or impact overlay in their investment policy. For each endowment, return: institution name, city, total AUM, real assets allocation percentage, current infrastructure or real assets managers in their portfolio, key investment contacts (name, title, direct email), most recent commitment date, and any consultant relationship. Rank results by AUM descending and flag endowments where the current infrastructure manager is approaching a typical hold period or where the endowment has publicly stated a commitment to net-zero or impact targets - those are my warmest prospects. Return as a PDF.

I just returned from iConnections Global Alts. I met with roughly 40 LPs over three days. Using Dakota Marketplace, cross-reference the following list of institutions I met with against our full CRM. For each institution: (1) confirm the decision-maker I met is the right primary contact or flag if there's a more senior contact on the platform, (2) show their current real assets allocation and AUM, (3) identify whether they have any open mandates or recent RFPs in infrastructure or real assets, and (4) flag any that have committed to a competitor fund in the last 18 months. Prioritize the top 15 for immediate follow-up based on fit and recency of activity, and draft a one-line re-engagement note for each.

Using Dakota Marketplace, build a prioritized target list of institutional LPs that have a documented history of committing to first-time or emerging PE fund managers — specifically LPs that have made commitments of $10M–$50M to managers on their first or second institutional fund. For each LP, include: institution name, contact name and email for the relevant decision-maker, total AUM, current PE allocation percentage, commitment size range, geographic preference, and any notes on their emerging manager program or first-time manager policy. Filter for U.S.-based LPs only. Exclude any institution already in active dialogue with my firm. Sort by likelihood to commit to an emerging manager based on Dakota data signals.

Using Dakota Marketplace, build a pipeline of public pension plans and insurance companies actively reviewing or expanding their private credit allocations. Filter for AUM above $1B. For each, show current private credit allocation targets, direct lending commitments in the last 24 months, key decision-makers, and any publicly stated allocation intent from investment committee minutes or trustee reports.

Pull all accounts from Dakota Marketplace that appear in our historical LP base but show no activity or contact in the last 18 months. For each, surface current key contacts, AUM, allocation changes to growth equity or venture, last Dakota-tracked meeting date, and flag those with recent GP due diligence activity as highest priority.

I'm traveling to Toronto next month to meet with Canada's largest pension plans. Using Dakota Marketplace, build a tearsheet for each of the top Canadian pension plans with a stated infrastructure or real assets allocation, including total AUM, current real assets allocation percentage and target, most recent external manager commitments in the asset class, and the names and titles of the relevant investment team contacts. Flag any plans that have publicly signaled interest in increasing real assets exposure in 2026. Package this as a tearsheet pack I can review on the flight over.

I'm attending the Council on Foundations annual conference next month and want to prepare for meetings with the largest health and community foundations on the attendee list. Using Dakota Marketplace, build a tearsheet for each of the top foundations with $500M or more in assets that have documented private equity or impact-investing allocations. For each foundation, include total AUM, current private equity allocation percentage and target, most recent commitment to an outside manager, key contacts (CIO and Director of Investments) with titles and email, and notes on their approach to mission-aligned or impact investing. Package this as a tearsheet pack I can review on the flight to the conference.

I'm attending the NAIC insurance investment conference next month and want tearsheets on the insurance companies most likely to add structured credit exposure. Using Dakota Marketplace, identify the top 6 insurance company general accounts with $2B or more in invested assets that have documented structured credit, CLO, or securitized allocations. For each, include total invested assets, current structured credit allocation percentage and target, most recent manager addition or RFP, key contacts (Chief Investment Officer and Head of Fixed Income) with title and email, and notes on their approach to rating agency capital charge considerations. Package this as a tearsheet pack I can review before the conference.

I'm attending the national Taft-Hartley trustees conference next month and want tearsheets ready before I go. Using Dakota Marketplace, build a tearsheet for each of the top multiemployer Taft-Hartley pension plans with $2B or more in AUM that have a documented allocation to infrastructure, real assets, or private credit. For each plan, include total AUM, current infrastructure/real assets allocation percentage and target, most recent external manager commitment in that asset class, the names and titles of the fund's investment consultant and key trustee or investment staff contact, and any recent plan minutes referencing infrastructure or private credit manager searches. Package this as a tearsheet pack I can review on the flight to the conference.

I'm attending the Institutional Private Credit & Alternative Credit Summit next month and want tearsheets ready before I go. Using Dakota Marketplace, build a tearsheet for each of the top endowments, foundations, and public pension funds with $1B or more in AUM that have increased their private credit allocation by at least 3 percentage points in the last 18 months or have an open manager search for direct lending or structured credit. For each institution, include total AUM, current and target private credit allocation percentages, most recent commitment to a private credit manager, the names and titles of the relevant investment staff contacts, and any recent board or investment committee commentary on private credit strategy. Package this as a tearsheet pack organized by institution type that I can review on the flight to the summit.

I'm planning a two-city roadshow in London and Zurich for our $6B direct lending fund's next vintage. Using Dakota Marketplace, identify the top 6 non-U.S. sovereign wealth funds and international public pension funds with $10B or more in AUM that have a documented allocation to private credit or direct lending. For each institution, include total AUM, current private credit allocation percentage and target, most recent manager commitment in the space, key decision-maker contacts with title and email, and any notes on their U.S. manager relationships. Package this as a tearsheet pack organized by institution type that I can review on the flight to London.

I'm building a targeted outreach campaign ahead of our Fund III close. Using Dakota Marketplace, identify endowments, foundations, and public pensions with $1B or more in AUM that have appointed a new CIO, Head of Alternatives, or Director of Investments within the last 6 months. New investment leadership often triggers a full manager roster review, which is our best window for a first meeting. For each institution, include total AUM, current alternatives/private equity allocation and target, the new leader's name, title, start date, and prior employer, and any documented manager search or RFP activity since their arrival. Package this as a tearsheet pack organized by institution type that I can review before our outreach sprint kicks off.

I'm raising capital from insurance company general accounts for our next structured credit vintage. Using Dakota Marketplace, identify insurance companies with $5B or more in general account assets that have increased their structured credit or private credit allocation in the last 18 months or have an open manager search in the space. For each institution, include total general account AUM, current and target structured credit allocation percentages, most recent commitment to a structured credit manager, names and titles of the relevant investment staff contacts, and any recent board or investment committee commentary on credit strategy. Package this as a tearsheet pack organized by institution type that I can review before our insurance-channel roadshow.

I'm raising capital for our infrastructure debt fund's next vintage and want to prioritize Taft-Hartley multiemployer pension funds and public pension funds with $2B or more in AUM. Using Dakota Marketplace, identify plans that have a documented allocation to infrastructure debt or real assets credit, or that have increased their infrastructure allocation target in the last 12 months. For each institution, include total AUM, current and target infrastructure allocation percentages, most recent commitment to an infrastructure or real assets credit manager, key decision-maker contacts with title and email, and any board or investment committee commentary referencing infrastructure as a priority. Package this as a tearsheet pack organized by institution type that I can review before our fund's roadshow kickoff next week.

I'm attending an insurance asset management conference next week and want tearsheets ready beforehand. Using Dakota Marketplace, build a tearsheet for each of the top insurance company general accounts with $5B or more in invested assets that have a documented allocation to structured credit, private placements, or asset-based finance. For each account, include total invested assets, current fixed income/structured credit allocation percentage, most recent external manager commitment in that space, the name and title of the CIO or Head of Investments, and any recent notes on manager searches. Package this as a tearsheet pack I can hand out at the conference.

I'm meeting with a mix of endowments, foundations, and public pension plans next month as part of our private credit fund's due diligence roadshow. Using Dakota Marketplace, identify institutions with $1B-$8B in AUM that have made a new commitment to a private credit or direct lending manager in the last 18 months, or that have an active manager search open in the space. For each institution, include AUM, current private credit/alternatives allocation percentage, most recent manager commitment, and the CIO or key allocator contact with title and email. Package this as a tearsheet pack organized by institution type that I can review before each meeting.

I'm raising capital for our fund IV growth equity vehicle and want to prioritize public pension funds with $5B or more in AUM that have a documented growth equity or venture allocation, or that have increased their private equity target in the last 12 months. Using Dakota Marketplace, identify these institutions, and for each one include total AUM, current and target private equity/growth allocation percentages, most recent commitment to a growth equity or venture manager, key decision-maker contacts with title and email, and any board or investment committee commentary referencing growth equity as a priority. Package this as a tearsheet pack organized by institution type that I can review before our roadshow next month.

I'm raising capital for our $1.2B infrastructure debt fund and planning a roadshow across the Middle East and APAC. Using Dakota Marketplace, identify sovereign wealth funds and public pensions in the UAE, Saudi Arabia, Singapore, and Australia with AUM over $10B that have a documented infrastructure or private credit allocation, or have made a recent commitment to an infrastructure debt strategy. For each institution, include AUM, infrastructure/credit allocation percentage, most recent related commitment, and two key contacts with title and email. Package this as a tearsheet pack organized by institution, one per page, that I can review before each meeting on the trip.

I'm raising capital for our $900M timberland and agriculture fund and want to prioritize endowments, foundations, and public pensions with $3B+ in AUM that have a documented real assets, natural resources, or timberland allocation, or that have made a related commitment in the last 24 months. Using Dakota Marketplace, identify these institutions, and for each one include total AUM, current real assets allocation percentage, most recent related commitment, and key investment and relationship contacts with title and email. Package this as a tearsheet pack organized by institution type that I can review with our board before next month's fundraising update.

Build me a tearsheet of 6 allocators, a mix of endowments, foundations, and public pensions, that have a documented history of committing to emerging or first-time private credit managers with checks between $10 and $25 million. Include AUM, current private credit allocation percentage, most recent commitment to an emerging manager, and the two best contacts for our capital raise, with notes on relationship warmth and any consultant gatekeeper.

We are raising a $750M Fund III lower-middle-market direct lending vehicle. Pull allocator accounts from Dakota Marketplace with $2B-$15B in total AUM, a documented private credit or direct lending allocation of at least 3%, and at least one commitment to a fund under $1B in the past 3 years. Include endowments, foundations, and public pension plans. For each institution, surface AUM, private credit target allocation, most recent private credit commitment (manager, size, date), key contacts with title and email, and any recent Public Plan Minutes or Dakota Search referencing direct lending. Build a ranked shortlist of 8 institutions with a one-paragraph 'why now' rationale for each.

I'm raising a $600M continuation vehicle to hold two mature portfolio companies from our Fund II. Using Dakota Marketplace, build a tearsheet pack of the top institutional secondaries buyers — dedicated secondaries funds, fund-of-funds, and endowments with documented GP-led secondary participation in the last 24 months — with AUM over $1B. For each institution, include total AUM, secondaries program size and typical check, most recent GP-led or LP-led secondary transaction, key contact with title and email, and any notes on preferred deal structure (single-asset vs. multi-asset continuation vehicles). Package this as a tearsheet pack I can review before our roadshow next month.

We're raising a $1.2B Fund II focused on core-plus infrastructure debt. Using Dakota Marketplace, build a tearsheet pack of 6 U.S. life and P&C insurance general accounts with $10B+ in invested assets that have a documented infrastructure debt or private placement allocation and have made at least one infrastructure-related commitment in the past 24 months. For each institution, include invested assets, current infrastructure/private placement allocation percentage, most recent relevant commitment (manager, size, date), the two best contacts with title and email, and notes on relationship warmth and any consultant gatekeeper. Format as a tearsheet pack I can review before our first-close roadshow.

We're six weeks from a first close on our debut credit fund and need to fill the emerging-manager bucket of our LP base. Using Dakota Marketplace, build a tearsheet pack of endowments, foundations, and public pensions with a documented emerging-manager or diverse-manager program, first-time commitment history in the $5M-$20M range, and no existing relationship with our firm. For each institution include AUM, program mandate details, key program contact with title and email, and the most recent emerging-manager commitment logged in Dakota. Package it as a leave-behind for our roadshow next month.

In Dakota Marketplace, filter allocator accounts to Taft-Hartley / multiemployer pension plans with a stated real assets or infrastructure allocation sleeve and total plan assets between $500M and $5B. For each, pull the current infrastructure/real assets allocation percentage, most recent GP commitment, the primary and secondary investment staff contacts, and any meeting history our firm has logged with them. Build a tearsheet-ready shortlist of the top 8 plans ranked by likelihood to commit to a core infrastructure equity strategy, and note any that have an active RFP or manager search open in this space.

We're six weeks from a first close on a $900M healthcare-focused growth equity Fund III. Using Dakota Marketplace, build a tearsheet pack of 6 public pensions, endowments, and foundations with a documented growth equity or healthcare-sector allocation and at least one growth equity commitment in the past 30 months. For each institution, include AUM, allocation percentage to growth equity or healthcare strategies, most recent relevant commitment (manager, size, date), the two best contacts with title and email, and notes on relationship warmth and any consultant gatekeeper. Format as a tearsheet pack I can review with my team before our roadshow kicks off next week.

We're two months from a first close on our $250M consumer technology Fund II. Using Dakota Marketplace, build a tearsheet pack of 6 family offices and funds-of-funds with a documented venture or early-stage allocation, a history of committing to first-time or Fund II managers, and no existing relationship with our firm. For each institution, include AUM, venture/early-stage allocation percentage, most recent relevant commitment (manager, sector, date), the two best contacts with title and email, and notes on relationship warmth and any consultant or gatekeeper involved. Format as a tearsheet pack I can review with our GP before we finalize the roadshow schedule next week.

We're refreshing our fund page and pipeline before launching Fund III at $750M. Using Dakota Marketplace, build a tearsheet pack of 6 public pension plans that have increased their private credit or direct lending target allocation percentage in the last 12 months and have made at least one direct lending commitment in that window. For each plan, include AUM, allocation percentage to private credit, most recent relevant commitment (manager, size, date), the two best contacts with title and email, and notes on relationship warmth and any consultant gatekeeper involved. Format as a tearsheet pack I can review with my investment team before our refreshed pipeline call next week.

We're launching a $750M infrastructure debt fund and I want tear sheets before our roadshow. Using Dakota Marketplace, identify endowments, foundations, and public pension plans with $2B-$15B in AUM that have increased their real assets or infrastructure allocation target in the past 18 months and have not yet committed to our current fund family. For each institution, show AUM, current real assets/infrastructure allocation percentage, most recent related commitment (manager and size), and the two most relevant investment contacts with title and email. Rank by allocation increase and proximity to their next investment committee meeting, and return a PDF tear sheet pack profiling the top 6 targets for our roadshow.

Using Dakota Marketplace, identify endowments, foundations, and public pension plans with $1B-$10B in AUM that have existing commitments to buyout funds vintage 2015-2017 (now approaching typical harvest/distribution years) in a similar size range to our Fund V. For each institution, show AUM, private equity allocation percentage, the maturing fund relationship and vintage, most recent commitment activity, and the best current contact with title and email. Rank by likely near-term liquidity and return a PDF reinvestment-timing target list of the top 15 LPs for our fundraising team to prioritize this quarter.

We're pushing toward a first close on Fund II and need tear sheets before our LP roadshow next week. Using Dakota Marketplace, identify foundations and single-family offices with $500M-$5B in AUM that have an active venture capital or early-stage allocation and have made at least one new fund commitment to a Fund I or Fund II vehicle in the past 24 months. For each institution, show AUM, venture/early-stage allocation percentage, most recent relevant commitment (manager, fund size, date), the two best contacts with title and email, and notes on relationship warmth or any shared co-investor overlap with our existing LP base. Format as a tear sheet pack I can review with our GP team before the roadshow.

Build me a tearsheet pack of Midwest and Mountain West endowments, foundations, and public pensions that already committed to one of our prior funds but have not yet re-upped, ahead of a regional Fund IV roadshow. Using Dakota Marketplace, give me six institutions, each on its own page. For each, show institution type and metro area, total AUM, private markets allocation as a percentage of the portfolio, and the most recent commitment on record including size and vintage year. Then give me the two contacts who actually control the re-up decision, with titles, tenure in seat, and where they sit in the approval chain. Then tell me two things I cannot get from a database alone: how to open the conversation given this LP's specific process and board or investment committee calendar, and the concrete reason this institution is more likely to re-up than a cold prospect of the same size. Sequence the six by re-up probability rather than by AUM, and flag any where staff turnover, a pacing study, or a manager roster review creates a timing window I need to hit.

Using Dakota Marketplace, build me a tearsheet pack of faith-based and mission-aligned institutional investors in the United States with $250M-$5B in investable assets - denominational pension boards, diocesan and archdiocesan investment offices, religious order endowments, faith-affiliated hospital and university pools, and mission-driven foundations that apply values-based or socially responsible screens. For each institution give me total AUM, public equity allocation percentage and dollar amount, whether they run screened or unscreened mandates, their stated exclusion criteria, current external equity managers, their most recent manager hire or termination with date and size, average mandate size, minimum track record and firm AUM requirements, investing consultant or OCIO if any, and next investment committee meeting date. Include two named contacts per institution with titles, emails, and direct phone numbers, prioritizing the CIO or Director of Investments and whoever owns public equity manager selection. Rank the pack by fit with a concentrated 30-stock domestic value strategy that can accommodate custom exclusion lists, and tell me which three institutions have the most immediate opening based on recent turnover, a live search, or a stated intent to add screened equity managers.

Using Dakota Marketplace, build me a tearsheet pack profiling U.S. health system investment offices and health-affiliated asset pools with $2B+ in total assets and an existing private markets allocation. For each institution return total assets under management, current private markets allocation percentage against policy target, the date and strategy of the most recent private markets commitment, whether the pool is internally managed or run by an OCIO and which firm, the consultant of record and their level of discretion, the two most relevant decision-makers with titles and direct contact details, any values-based or faith-based screening policy that would apply, and any distinct captive insurance, foundation, or opportunistic sub-pool with separate discretion. Then tell me for each institution how to approach them and what the specific opening is.

Using Dakota Marketplace, build me a tearsheet pack of six institutional allocators - university endowments, private and community foundations, and public pension plans - between $500M and $4B in AUM that have hired a new Chief Investment Officer or built out an internal investment office within the last 24 months, and that allocate to lower middle-market private equity. For each institution give me: institution type and city/state, total AUM, private equity target and current allocation, the most recent private equity commitment (manager, vehicle, size, date), the new CIO's name, start date, and prior employer, plus one additional manager-research or private markets contact with title and email. Then write a short recommended approach for each - how to frame a $600M Fund IV lower middle-market buyout strategy given the CIO's background and prior portfolio, what we should lead with, and what to avoid - and note our edge versus the incumbent managers already on their roster.

Using Dakota Marketplace, build tearsheets on endowments, foundations and public pensions that have formalized or expanded a co-investment program in the last 24 months. For each institution include total AUM, private equity target allocation, the most recent disclosed co-investment commitment with manager and date, whether co-investment authority is delegated to staff or requires board or IC approval and at what dollar threshold, board and IC meeting cadence, the two staff members who evaluate co-investment opportunities with titles, emails and phone numbers, and any public disclosure of co-investment pacing or per-deal capacity. Prioritize institutions with existing buyout exposure and no current relationship with our firm, and note for each whether a consultant or OCIO sits between staff and the decision.

I am raising a $250M first institutional growth equity fund and need a tiered target list of endowments, foundations, and public pensions with documented emerging-manager or first-time-fund programs. For each institution, give me total AUM, private markets allocation percentage, the most recent private markets commitment on record, the two people who actually control manager selection with titles and contact detail, whether the plan has committed to a Fund I in the last three years, and the minimum and maximum check size their program supports. Exclude anyone whose minimum check exceeds 20% of my $250M target and rank the remainder by how well their typical commitment size fits a $250M first close.

Using Dakota Marketplace, build me a tearsheet pack of Taft-Hartley and multi-employer labor union pension plans that are credible LP targets for our $1.5B open-end core infrastructure fund. I'm the MD of IR at a real assets manager and we carry a responsible-contractor policy and prevailing-wage commitment that plays well in this channel. Filter to U.S. multi-employer and union plans with $750M+ in total assets that either hold an existing infrastructure or real assets allocation or carry a target they are under-invested against. For each plan give me total plan assets, current and target real assets allocation percentages, the dollar gap to target, the most recent disclosed infrastructure or real estate commitment with manager name and size, the investment consultant of record, board meeting cadence, and whether they invest directly or are consultant-gated. Include full contact details for the Executive Director or Fund Administrator and the lead investment staffer or trustee committee chair. Rank the pack into Tier 1 (near-term: dollar gap plus a consultant we already know), Tier 2 (build the relationship this year), and Tier 3 (monitor), and for each Tier 1 name draft a two-sentence opening angle that references their specific allocation gap.

Using Dakota Marketplace, build me a tearsheet pack of 8 US endowments, foundations and public pension plans that have appointed a new Chief Investment Officer or Head of Private Markets within the last 18 months and allocate to lower middle-market private equity. For each institution give me: full name, institution type, city and state, total AUM, private equity target and actual allocation, the most recent private equity commitment with manager name, fund, size and date, the new leader's name, start date and prior employer, one additional private markets contact with title and email, any consultant or OCIO relationship, and our full meeting and contact history. Then for each institution write a two-sentence APPROACH note on how to open the conversation given the leadership change, and a one-sentence EDGE note on why our strategy fits what that leader built at their prior institution. Order the pack from most recent appointment to least recent, and flag any institution where the private equity allocation is more than 200 basis points below target.

Using Dakota Marketplace, build me a tearsheet pack of U.S. endowments, foundations, and public pension plans between $800M and $12B in assets that have appointed a new Chief Investment Officer, Deputy CIO, or Head of Private Markets within the last eighteen months. For each institution, give me a full profile: total assets, current private equity and growth equity target versus actual allocation and the resulting over- or under-weight, the new investment leader's name, start date, prior institution and the manager relationships they built there, the private markets team members beneath them with direct contact details, the plan's investment consultant or OCIO and whether that relationship has also changed, their most recent private markets commitments with manager names, sizes, and dates, their stated minimum and maximum commitment sizes, whether they will back a Fund III or a manager under $3B, their board or investment committee meeting calendar for the next two quarters, and any documented emerging-manager or first-time-fund program. Prioritize institutions where the incoming leader previously allocated to growth equity managers of our size, since that is the strongest predictor of receptivity. For each tearsheet, close with a recommended approach: who to contact first, what to reference from their new leader's prior allocation history, and the ideal timing relative to their next committee meeting.

Using Dakota Marketplace, build a tearsheet pack of 8 insurance general accounts (mix of life, P&C, and multi-line) with $5B+ in invested assets that have grown their structured credit or private credit allocation in the last 18 months. For each institution, give me: total invested assets, current private/structured credit allocation percentage and dollar target, NAIC designation appetite if noted, the investment team's key decision-makers (CIO or Head of Private Credit) with title and contact, any external manager relationships in asset-backed or CLO strategies, our last meeting date and outcome, and any recent rating agency or capital adequacy commentary on record. Rank the eight from most to least likely to allocate within two quarters, and for each write a two-sentence approach note referencing their specific credit rating or capital treatment sensitivities.

We're planning a London roadshow for our new 800M pan-European real estate value-add fund. Using Dakota Marketplace, build a tearsheet pack of the 6 most promising UK and European family offices and private banks with a documented real assets or real estate allocation and AUM between 500M and 5B. For each institution, include: total AUM converted to USD, current real estate allocation percentage and target, most recent related commitment, key decision-maker contacts with title and direct email, and any recent meeting or update history logged in Dakota. Flag any institutions whose real estate allocation is currently under target. Format as a tearsheet pack I can review with our placement team before the roadshow.

We manage a core-plus infrastructure debt strategy and want to get in front of the right committees before year-end. Using Dakota Marketplace and Public Plan Minutes, identify the public pension funds with board or investment committee meetings scheduled in the next 60 days whose minutes or stated allocation targets reference infrastructure debt, private credit, or real assets. For each institution, include: total plan AUM, current and target allocation to infrastructure or private credit, most recent related commitment with manager name and size, key decision-maker contacts (CIO and Head of Fixed Income or Real Assets) with title and direct email, board meeting date, and any documented emerging manager or first-time-fund program. Format this as a tearsheet pack I can hand to our placement team ahead of each meeting.

I'm raising a $3.5B infrastructure fund and planning a fall roadshow across the Middle East, Asia, and Northern Europe. Using Dakota Marketplace, build a target list of sovereign wealth funds and government/public pension plans outside the U.S. with AUM over $10B and an active or growing allocation to infrastructure or real assets. For each, show AUM, home region, current infrastructure allocation target if disclosed, most recent related commitment, and the CIO or Head of Real Assets contact with title and email. Prioritize institutions that have made a new infrastructure commitment in the last 18 months. Return a tearsheet pack organized by region I can use to plan meeting sequencing.

I lead insurance solutions at a $2.5B structured credit manager raising a new AA/A-rated CLO mezzanine strategy. Using Dakota Marketplace's insurance company data, identify general account insurers with AUM between $3B and $25B that have existing allocations to structured credit or securitized products and have not yet allocated to our platform. For each institution, show the key investment analyst or portfolio manager contact, their stated asset class allocations, and any recent investment activity logged in the last 12 months. Build a tearsheet pack of the six most promising insurers I can bring to our distribution team's Q4 planning meeting.

I'm raising a $600M real estate direct lending fund and building a target list of small-to-mid endowments and foundations in the Mid-Atlantic and Southeast with real assets or private credit allocations between 5% and 15% of AUM. Using Dakota Marketplace, identify institutions with $200M-$1.5B in AUM, current real estate or private credit manager relationships, and any recently logged allocation increases or manager searches in the last 9 months. For each, show AUM, current real assets allocation, most recent related commitment, and the CIO or Director of Investments contact with direct email. Build a tearsheet pack of the eight strongest-fit institutions I can bring to our fall roadshow.

Search Dakota Marketplace for endowments and foundations with $500M-$5B in AUM whose investment preferences include 'niche strategies,' 'uncorrelated returns,' or 'special situations,' and that have made a private credit or special situations commitment in the past 24 months. Exclude any that already show a litigation finance or specialty finance holding. For the top matches, pull CIO/Director of Investments name and contact info, AUM, allocation to alternatives, most recent related commitment, and any board minutes referencing appetite for niche/idiosyncratic strategies. Package as a tearsheet-style summary for outreach.

I'm raising a $1.2B emerging markets private equity fund (Fund IV) and want to prioritize outsourced CIO (OCIO) firms as a distribution channel. Using Dakota Marketplace, identify OCIOs and discretionary consultants with AUM over $10B that have made an emerging markets or global private equity commitment on behalf of an underlying client in the past 24 months. For each firm, show total OCIO AUM, number of underlying institutional clients, the manager research lead or Head of Private Markets contact with direct email, and any recent related commitments logged in Dakota's data. Build a tearsheet pack of the eight strongest-fit OCIOs I can bring to our distribution team's roadshow planning session.

Search Dakota Marketplace for single- and multi-family offices with $500M+ in assets that have made a new commitment to a direct lending or private credit strategy within the last 18 months but have no prior private credit allocation history. Pull AUM, current alternative allocation target, key decision-maker contacts, and last recorded meeting or interaction. Build a prioritized target list of the top 8 family offices ranked by allocation capacity and recency of their first private credit commitment, and generate tear sheets I can bring into our Fund III roadshow prep.

Build a tearsheet pack of hospital and health-system-affiliated foundations in the Southeast with more than $300M in assets that have increased their private equity or private credit allocation over the last two fiscal years. For each institution, note whether they use an outsourced CIO or manage allocations in-house, their most recent private markets commitment, and the primary investment staff contact. Prioritize institutions managing allocations in-house, since they typically have more direct decision authority, and flag any that have taken a meeting with our firm in the past 12 months.

I'm raising a $900M infrastructure debt fund and want to prioritize Taft-Hartley multiemployer pension funds as an LP base. Using Dakota Marketplace, identify Taft-Hartley plans with $2B+ in AUM that have increased their infrastructure or real assets allocation over the last two plan years, or have made a new infrastructure-related commitment in the past 18 months. For each match, pull AUM, current infrastructure/real assets allocation percentage, the Taft-Hartley trustee or investment consultant contact, and any recent related commitments logged in Dakota's data. Build a tearsheet pack of the eight strongest-fit plans I can bring to our Taft-Hartley roadshow next quarter.

I'm raising capital for a $750M mezzanine real estate debt fund and want to target insurance company general accounts. Using Dakota Marketplace, identify insurance companies with AUM over $5B that have an active real estate debt or commercial mortgage allocation and have made a related commitment in the past 24 months. For each, show the account name, general account AUM, current real estate allocation percentage, the investment team contact with title and direct email, and any recent related manager searches or RFPs logged in Dakota's data. Build me a tearsheet pack ranked by AUM that our team can use for outreach this quarter.

I manage distribution for an LDI-focused fixed income strategy. Using Dakota Marketplace, identify corporate pension plans with AUM over $500M that have made a new allocation to long-duration credit or LDI strategies in the last 18 months, or that have disclosed a de-risking glide path change. For each, show the plan name, AUM, funded status if available, current fixed income manager roster, plan sponsor's CFO or Treasurer contact, and any recent related news or manager search. Build me a tearsheet pack ranked by AUM that our team can bring to the fall pension conference.

We're raising a $750M mid-market GP-led secondaries fund (continuation vehicles and single-asset deals) and targeting a first close in Q1 2027. Using Dakota Marketplace, build a tearsheet pack of 6-8 endowments, foundations, and public pension plans that have either created a dedicated secondaries allocation or increased their secondaries sub-target in the last 18 months, based on investment policy changes, board minutes, and logged commitments. For each institution, give me: institution type and location, AUM, private equity target allocation %, the size and date of their most recent secondaries commitment, two key contacts (CIO or Head of Private Markets plus the analyst or director covering secondaries) with title, email, and phone, the consultant of record, and whether they've backed any GP-led continuation vehicle funds in the past three years. Then write a two-sentence APPROACH recommendation for how to open the conversation and an EDGE note explaining why our mid-market single-asset focus would stand out in their current portfolio. Prioritize institutions whose next investment committee meeting falls between November 2026 and February 2027.

Using Dakota Marketplace, build a tearsheet pack of 6-8 endowments, foundations, and public pension plans whose most recent fiscal-year-end (June 30, 2026) reporting or board minutes show private equity at least 150 basis points below their policy target. Focus on institutions with $1B-$40B AUM that allocate to lower middle-market buyout and have made at least one commitment to a sub-$1.5B buyout fund in the past three years. For each institution, give me: AUM, current PE allocation vs. target, their most recent private equity commitment (manager, fund, amount, date), and two key contacts (the CIO or Head of Private Equity plus one senior investment staff member) with titles, emails, and phone numbers. Then write a short APPROACH section on how to position Fund V against their pacing gap and approval calendar, and an EDGE section that pulls a specific detail from their minutes, consultant relationship, or recent commitments that we can use in the first meeting.

Using Dakota Marketplace, build a tearsheet pack for our Fund IV raise ($650M target, lower-middle-market healthcare services buyout). Identify 6 endowments, foundations, and public pensions that committed to at least one of these competitor funds' most recent vintages - [Competitor A Fund V], [Competitor B Fund III], [Competitor C Fund IV] - but have no commitment to any of our prior funds. For each institution include: type and location, total AUM, private equity allocation % (actual vs. target), most recent PE commitment (manager, fund, amount, date), the two most relevant contacts (name, title, email) with the person who led the competitor commitment flagged, a recommended APPROACH for a first meeting, and our EDGE versus the competitor they backed (e.g., smaller fund size, sector specialization, realized DPI). Order the pack by likelihood of a 2026-2027 commitment.

Using Dakota Marketplace, build a tear sheet pack for our Fund III asset-based finance strategy ($750M target, consumer and commercial receivables, equipment, and royalty-backed lending). Find endowments, foundations, and public pensions that (1) are currently below their private credit policy target and (2) have approved, expanded, or discussed an asset-based finance, specialty finance, or 'diversifying credit' sleeve in the last 12 months, based on public plan minutes, investment committee materials, or recent commitments. For each institution include: account type and location, total AUM, current private credit allocation vs. target, most recent credit commitment (manager, fund, amount, date), the two most relevant decision-makers with titles, a recommended approach, and our edge versus the direct lenders they already back. Prioritize institutions with a commitment decision likely in the next two quarters.

We're launching Fund II ($1.2B target) of a sports, media & entertainment growth buyout strategy (team and league stakes, venues and ticketing, media rights). Using Dakota Marketplace, build a tearsheet pack of 6-8 endowments, foundations, and public pension plans that have committed to sports-, media-, or consumer/entertainment-focused private equity funds in the last 36 months, or that have discussed sports franchise investments in board or investment committee minutes. For each institution, give me: AUM, private equity allocation (target vs. actual), most recent PE commitment (manager, fund, amount, date), the two most relevant decision-makers (CIO plus the private equity lead) with titles and contact info, the consultant of record, a recommended approach angle, and our 'edge' - any overlap with our existing LPs, Fund I co-investors, or alumni and board ties. Order by likelihood of securing a first meeting in Q4.

Build me a Dakota tearsheet pack of 6-8 endowments, foundations, and public pensions that have a dedicated real assets or natural resources allocation, have committed to at least one water, farmland, timberland, or agriculture-focused fund since 2022, and have not yet backed a pure-play water infrastructure strategy. For each, give AUM, real assets allocation % versus target, the most recent natural-resources commitment (manager, fund, size, date), and the two most relevant contacts (CIO plus the real assets lead) with titles and emails. Add an APPROACH note on how to open the conversation, referencing any recent public plan minutes or board discussion of climate resilience or inflation hedging, and an EDGE note on why our $400M Water Infrastructure Fund I fills their gap. Sort by likelihood to commit before our Q2 2027 first close.

Using Dakota Marketplace, build me a tear sheet pack of 6 US endowments, foundations and public pensions ($1B-$25B AUM) that have committed to music royalties, media/IP, life sciences royalties, or other uncorrelated cash-yielding real asset strategies in the past 4 years, or whose public plan minutes reference a 'diversifying' or 'real assets - other' sleeve. For each institution give me: type and location, AUM, current real assets / diversifiers allocation %, most recent relevant commitment (manager, fund, amount, date), the two most relevant decision-makers (CIO plus the real assets or private markets lead) with titles, and a short APPROACH note on how to frame a royalties fund for their committee plus an EDGE note on any warm angle we can use (shared consultant, prior commitment to a similar manager, recent staff hire, or upcoming IC date). One institution per page, formatted as a tear sheet I can hand to our partners before Q4 meetings.

Build a tearsheet pack profiling 6 endowments, foundations, and public pension plans in Dakota Marketplace that have launched or expanded a dedicated private equity co-investment program in the last 24 months and have committed to at least one lower middle-market buyout fund since 2022. Prioritize institutions with a stated appetite for industrials, aerospace and defense, or government services, and exclude any with ESG exclusion policies covering defense. For each institution include: institution type and location, total AUM, private equity allocation (actual vs. target %), co-investment program size and launch date, most recent PE fund commitment with amount and date, the CIO and the private equity or co-investment lead with title, email, and phone, plus a suggested APPROACH (how to frame a Fund IV commitment with co-investment rights) and an EDGE (the specific reason our firm stands out to this LP). We are raising a $650M Fund IV focused on founder-owned aerospace, defense, and government-services suppliers.

Using Dakota Marketplace and public plan minutes from the last six months, identify endowments, foundations, and public pensions that adopted a new asset allocation study raising their private credit target by at least 2 percentage points. For each institution, build a one-page tear sheet with: AUM, the old vs. new private credit target, current actual allocation, the most recent private credit commitment (manager, fund, size, date), the CIO and the staff member covering credit with emails and phone numbers, the general or specialist consultant, and whether they have ever backed an asset-based finance or specialty lending strategy. Close each tear sheet with a recommended approach and a short 'edge' note explaining why our $1.5B asset-based finance fund fits the gap between their target and actual allocation. Limit to 6 institutions and rank by dollar gap to target.

Build a tear sheet pack using Dakota Marketplace of 6-8 endowments, foundations, and public pensions that approved a 2027 private markets pacing plan in the last 120 days that increases their growth equity commitment budget. Use public plan minutes and Dakota account updates to confirm the change. For each institution, show AUM, current private equity allocation % vs. target, and their most recent growth equity commitment (manager, fund, amount, date). Include two key contacts - the CIO and the private markets or PE lead - with title, email, and phone. Add an APPROACH note on how to position a $600M Fund II growth equity strategy focused on B2B software and healthcare IT, and an EDGE note explaining why we have an angle (portfolio overlap, Fund I co-investors, consultant relationships, or recent staff changes).

Build a tear sheet pack using Dakota Marketplace of 6-8 endowments, foundations, and public pensions that increased their infrastructure or real assets target allocation in the last 6 months (confirm via public plan minutes or Dakota account updates) and have made at least one commitment to a mid-market or core-plus infrastructure fund since 2023. For each institution, show AUM, current infrastructure/real assets allocation vs. new target, and their most recent infrastructure commitment (manager, fund, amount, date). Include two key contacts - the CIO and the staff member who covers real assets - with titles. Add an APPROACH note on how to open the conversation (timing relative to their next board or IC meeting and their consultant, if any) and an EDGE note on why our $1.2B mid-market energy-transition infrastructure Fund III fits their stated objectives. Color-code by institution type: endowments, foundations, public pensions.

Build me a tearsheet pack of 6-8 public pensions, endowments, and foundations that have terminated, placed on watch, or put out for review a core-plus or value-add real estate manager in the last 9 months, based on Dakota public plan minutes and investment updates. For each institution include: AUM, real estate target and actual allocation, date and size of the most recent real estate commitment, the manager being replaced and the stated reason, the consultant running the search, and the two most relevant decision-makers (CIO and head of real assets) with titles and contact details. Add an Approach section on how to position our core-plus fund as the replacement, and an Edge section noting timing, consultant, or committee dynamics we can use.

Using Dakota Marketplace, build a tear-sheet pack of 6-8 U.S. endowments, foundations, and public pension plans with a June 30 fiscal year end that have reported FY2026 results or board materials in the last 60 days and whose private equity allocation is at or below their policy target. Limit to accounts with $1B-$30B in AUM that have committed to at least one healthcare-focused or mid-market buyout fund since 2021. For each institution give me: account type and location, AUM, current vs. target private equity allocation, the most recent private equity commitment (manager, fund, size, date), the CIO and the private equity lead with titles and contact details, any consultant involved, and relevant commentary from public plan minutes or board materials about pacing for FY2027. Close each tear sheet with a suggested approach angle and our edge for a $1.1B healthcare services buyout fund in market now.

I'm doing a 4-day road trip through Seattle, Portland, Denver, and Salt Lake City in three weeks to raise our $650M water and agriculture infrastructure fund. Using Dakota Marketplace, build me a tearsheet for each of the 7 best-fit endowments, foundations, and public pensions in those metros with an active real assets or infrastructure allocation. For each include: AUM, real assets target allocation %, most recent real assets or infrastructure commitment (manager, fund, amount, date), the two most relevant contacts (CIO and the real assets lead) with titles, emails, and phones, a suggested approach angle, and our edge: why a water and agriculture strategy fits their mission or fills a gap in their portfolio. Order the tearsheets by city so I can follow the route.

Using Dakota Marketplace, build a tearsheet pack of 6-8 endowments, foundations, and public pension plans located in Ohio, Indiana, Michigan, Kentucky, and Pennsylvania that have a documented in-state, economically targeted investment (ETI), or Midwest-preference program for private equity, or a stated preference for managers headquartered in-region. We are raising a $375M Fund III focused on lower-middle-market industrial and business services buyouts across the Midwest. For each institution include: institution type and location, AUM, private equity allocation % (target vs. actual), most recent PE commitment (manager, fund, amount, date), the in-state/regional program details, and two key contacts (CIO or Head of Private Equity plus the staff member who covers emerging or regional managers) with titles. For each, write an APPROACH note on how to open the conversation, referencing our Ohio HQ and portfolio-company jobs footprint, and an EDGE note explaining why we have an advantage over coastal managers. Order the pack by likelihood of a 2027 commitment.

Using Dakota Marketplace, build a tearsheet pack of US endowments, foundations, and public pensions that run a mission-related investment (MRI), program-related investment (PRI), or dedicated impact sleeve AND have committed to at least one affordable, workforce, or attainable housing fund since 2022. Limit to institutions with $750M+ AUM and a real estate or real assets allocation of at least 6%. For each institution, give me: type, city/state, AUM, real estate/real assets allocation %, impact or MRI sleeve size if disclosed, most recent housing-related commitment (manager, fund, size, date), and two key contacts (one from the investment team and one from the mission/impact or program side) with titles. Then write a short APPROACH note on how to frame a $400M value-add workforce housing Fund II (80-120% AMI, Sun Belt and Mountain West) for that specific institution, and an EDGE note on what gives us an advantage with them. Prioritize the 6-8 best fits and order them by likelihood to commit in the next 9 months.

Using Dakota Marketplace, build a tearsheet pack of 6 US endowments, foundations, and public pensions with $1B+ AUM that have committed to at least one traditional LP-led secondaries fund since 2021 but show no commitment to a dedicated GP-led or continuation-vehicle secondaries fund. For each institution, give me: type, city/state, AUM, private equity allocation %, most recent secondaries commitment (manager, fund, size, date), and two key contacts (the senior private equity decision-maker and the staff member who covers secondaries or co-investments) with titles. Then write an APPROACH note on how to position a $1.5B mid-market GP-led fund as a complement to, not a replacement for, their existing LP-led exposure, and an EDGE note with the specific data point (pacing gap, consultant relationship, recent IC commentary, or staff change) that makes this a timely conversation.

Using Dakota Marketplace, build a tearsheet pack of 6 endowments, foundations, and public pensions that have either committed to a GP-stakes or GP minority-interest fund since 2022 or approved a dedicated GP-stakes / alternatives-platform sleeve in recent board or IC materials. For each institution include: type and location, total AUM, private equity allocation (target vs. actual), most recent GP-stakes commitment (manager, fund, amount, date), and two key contacts (CIO and private markets lead) with titles. Add an APPROACH paragraph on how to frame our Fund II (minority stakes in $5-30B mid-cap alternative managers, with contractual cash yield from a management-fee revenue share) for that specific LP, and an EDGE paragraph naming the hook: a consultant relationship, a pacing gap, a recent staff hire, or a portfolio-yield objective. Prioritize institutions that have not yet committed to a mid-cap GP-stakes vehicle.

Build me a tearsheet pack from Dakota Marketplace of endowments, foundations, and public pensions that have committed to a healthcare royalty, pharmaceutical credit, or structured life sciences fund since 2021, or that list royalties or specialty finance in their private credit or real assets allocation. Limit to institutions with $1B-$40B in AUM. For each one, give me AUM, the relevant target allocation percentage, their most recent commitment in the space (manager, fund, amount, date), and the two contacts most likely to own the decision with titles. Then write a short approach note on how to frame a royalty strategy for that specific allocator (uncorrelated yield, inflation linkage, or diversification away from biotech venture), and an edge note on anything that gives us a timing or relationship advantage, such as a recent board meeting, a manager they just exited, or a consultant we already know.

Using Dakota Marketplace, build me a tearsheet pack of 6-8 endowments, foundations, and public pensions that have committed to an asset-based finance, specialty finance, or consumer/commercial receivables fund in the last 36 months, or that have created a dedicated ABF sleeve within private credit. Exclude any institution already in our Fund I LP roster. For each institution, give me: type and location, AUM, private credit allocation %, most recent ABF or private credit commitment (manager, fund, amount, date), the two most relevant decision-makers (CIO and Head of Private Credit or equivalent) with title and email, a 2-3 sentence approach recommendation, and the edge we should lead with. One institution per page, formatted as a tearsheet I can hand to our partners before a roadshow.

Using Dakota Marketplace, build me a tearsheet pack of 6-8 institutions for our $400M Fund II, a growth equity strategy investing in agtech, food processing, and agricultural supply chain businesses. Prioritize land-grant university endowments, foundations with agriculture, rural development, or food security missions, and public pensions in farm-belt states (IA, NE, KS, MN, ND, SD, WI). For each, give me AUM, private equity or real assets allocation percentage, last relevant commitment (manager, fund, amount, date), and two key contacts: the decision-maker and the day-to-day due diligence lead, with titles. Add an approach note on how to open the conversation and an edge note explaining why our strategy fits their mission or portfolio gap right now.

Using Dakota Marketplace, build a tearsheet pack of 6 endowments, foundations, and public pensions that hold at least three active venture capital fund commitments made since 2021 but have no venture debt or growth-lending commitment on record. We are raising a $400M Venture Debt Fund III (senior secured loans to Series B-D companies, 12-14% target gross yield, quarterly cash distributions). For each institution include: type and location, AUM, private credit and venture allocation %, most recent venture or private credit commitment (manager, fund, size, date), two key contacts (CIO or head of private markets plus the PM covering private credit or venture) with titles, a recommended APPROACH that ties our yield and downside protection to their stated liquidity or distribution goals, and an EDGE section noting any board minutes, pacing-plan language, or VC portfolio overlap that gives us a reason to call now. Give each institution its own card.

Using Dakota Marketplace, build me a tear sheet pack of 6 allocators for our $600M healthcare services growth equity Fund III: nonprofit health-system investment pools, health-focused private foundations, academic medical center endowments, and public or Taft-Hartley pensions covering nurses and hospital workers. Only include institutions with $750M+ in AUM, an active private equity or growth equity allocation, and at least one private markets commitment since January 2025. For each, give me: institution type and location, AUM, PE/growth target allocation %, most recent commitment (manager, fund, amount, date), the two most relevant decision-makers with titles, a recommended approach angle that ties our thesis to their mission or operating expertise, and any edge we have (shared portfolio relationships, consultant overlap, prior meetings logged in Dakota). Flag any health system with liquidity constraints from bond covenants or operating losses.

Using Dakota Marketplace, build a tearsheet pack of 6-8 endowments, foundations, and public pensions that have committed to at least one data-center, fiber, tower, or broader digital-infrastructure fund since January 2023 and still list real assets or infrastructure as an active allocation. For each institution give me: type and location, total AUM, infrastructure/real assets target allocation %, the most recent digital-infrastructure commitment (manager, fund, amount, date), the CIO and the senior infrastructure or real assets decision-maker with titles, emails, and phone numbers, consultant of record, and any power, energy, or ESG constraints noted in their investment policy. Then write a short APPROACH (how to open the conversation given their existing exposure and pacing) and an EDGE (the specific reason our power-secured, mid-market data-center strategy is differentiated for them). Prioritize institutions with upcoming investment committee meetings in Q1 2027.

Build a tearsheet pack of endowments, foundations and public pensions that issued an investment consultant RFP or hired a new general or private markets consultant in the last 12 months. For each, show AUM, current private equity allocation vs. target, the outgoing and incoming consultant, the date of their last private equity commitment, and two key contacts (CIO and the staff lead on private markets) with email and phone. Add a recommended approach that explains how to get on the new consultant's radar and what the board is likely to prioritize in the first year of the new relationship. Focus on institutions with $1B-$15B in AUM that have historically backed lower middle-market buyout.

Build a tearsheet pack of 6-8 US endowments, foundations and public pensions in Dakota Marketplace that have committed to an emerging-markets or Latin America-focused private credit or private equity fund in the last 36 months. For each institution, show AUM, current private credit or EM allocation %, most recent relevant commitment (fund, size, date), and two key contacts: the CIO and the investment staff member covering private credit or international. Add an APPROACH note on how to open the conversation given their mandate and portfolio gaps, and an EDGE note on why a USD-denominated, senior-secured Latin America lender fits their book right now. We're targeting a $400M Fund III first close in Q1 2027.

Using Dakota Marketplace, build me a tearsheet pack of 6 US endowments, foundations and public pensions that are the best first-meeting targets for our $400M Fund II, a growth equity fund investing $20-60M in cybersecurity, identity and OT/critical-infrastructure security software companies at $15-75M ARR. Prioritize allocators that (1) have committed to at least one technology-focused growth equity or venture fund in the last 24 months, (2) have AUM between $1B and $30B, and (3) back Fund II or emerging managers. For each institution, include: type and location, AUM, private equity / growth allocation %, most recent relevant commitment (manager, fund, amount, date), two key contacts (title, email, phone), a recommended approach angle for the first meeting, and our edge — why our strategy fills a specific gap in their current portfolio.

Build a tearsheet pack of Southeastern US endowments, foundations and public pensions ($2B+ AUM) that have increased or formally raised their private-credit target allocation in the last 12 months and are still below target. For each, show AUM, current private-credit allocation vs. target, last private-credit commitment (size and date), two key contacts with titles and tenure, the recommended approach and the edge Dakota data gives us. Order by size of the gap to target, flag any institution that works through an OCIO or consultant gate, and exclude any LP currently in our fund's pipeline or existing LP base.

Build me a tear sheet pack of 6 US institutions (foundations, endowments, and public pensions with $2B+ AUM) that made a private credit commitment in the last 18 months and have no disclosed lower-middle-market or mid-market direct lending manager. For each, include AUM, private credit allocation %, last commitment, two investment-staff contacts with titles, how to approach them, and what gives a $2.4B mid-market direct lender an edge. Mix of institution types, one page per institution.

Build a tear sheet pack for six US endowments, foundations and public pensions that have made climate, energy transition or sustainable growth commitments in the last 24 months. For each, show AUM, private markets allocation %, most recent relevant commitment, the two most senior contacts with titles, and a short approach and edge note tailored to our $1.6B growth equity Fund II.

I work for TA Associates on the deal team. Using Dakota Data find all of my key competitors who have had a recent transaction. Present me with a PDF report of how I should be thinking about my competitors activity on the investment side.

I'm on the deal team at Summit Partners covering B2B software. Using Dakota Marketplace, find privately held SaaS companies headquartered in North America with estimated revenue between $25M and $100M that have filed a Form D or raised capital in the last 18 months. Return a ranked PDF target list with firm name, recent raise details, estimated revenue, key executives, and contact information.

I'm on the deal team at Insight Partners. We're syndicating a $150M growth investment in a vertical SaaS company. Using Dakota Marketplace, identify allocators and family offices who have co-invested or committed to similar growth-stage software deals in the last 24 months. Return a PDF with ranked prospects, past commitment history, strategy preferences, and key contacts.

I work at Thoma Bravo on the deal team. Using Dakota Marketplace, identify competing middle-market software PE firms that are currently in market fundraising, with fund size, strategy, vintage, and estimated close timeline. Present as a PDF I can share with the investment committee.

I'm on the deal team at General Atlantic. Using Dakota Marketplace, give me a PDF summary of senior investment professional role changes across our top 20 PE/VC competitors in the last 90 days. Flag anyone who joined, left, or was promoted, and note implications for our deal flow and co-investment relationships.

I'm a VP on the deal team at Berkshire Partners evaluating a live $400M industrial technology buyout. Using Dakota Marketplace, pull the last 36 months of comparable transactions in the industrial tech / automation space between $200M and $750M enterprise value. Include deal size, EBITDA multiple, buyer, target, and geography. Return a PDF with a comps table, median/mean multiples, and a short narrative on what this means for our price discipline.

I'm a Managing Director at Vista Equity Partners leading our cybersecurity vertical. Using Dakota Marketplace, build a PDF market map of privately held cybersecurity software companies in North America with estimated revenue between $50M and $300M. Segment by sub-sector (identity, endpoint, cloud, data security), flag recent fundraises or Form D filings in the last 12 months, and return a ranked thesis-fit list with top-decile targets highlighted and outreach context for each.

I lead Business Development / deal sourcing at Bain Capital, covering Midwest U.S. middle-market SaaS. Using Dakota Marketplace, build me a PDF outreach pack of 40 privately held SaaS founders and CEOs headquartered in IL, OH, MI, IN, or WI at firms with estimated revenue between $20M and $100M. Include role, firm, product category, last raise, recommended outreach angle, and any shared network intros available.

I run Capital Markets at Apollo supporting our PE deal teams. Using Dakota Marketplace, give me a PDF of the current unitranche and direct lending universe for U.S. sponsor-backed deals between $250M and $1B. Include active lenders, recent closed financings in the last 6 months, pricing (spread/OID) where available, typical hold sizes, and key relationship contacts to call for the next deal.

I lead Capital Formation / Investor Relations at Warburg Pincus and we're pre-marketing our next global flagship fund. Using Dakota Marketplace, build a PDF LP target roster: existing LPs likely to re-up (with check-size context and relationship status), plus 40 prioritized new-money prospects (public pensions, corporate pensions, sovereign wealth, endowments, large single-family offices) that have made new global PE commitments in the last 24 months.

I'm a Portfolio Manager / Operating Partner at KKR overseeing our consumer portfolio. Using Dakota Marketplace, benchmark our portfolio companies against peer consumer brands on growth, margin, and leverage. Also map senior operator talent (CEO, CFO, CMO, CRO) who have exited comparable PE-backed consumer platforms in the last 24 months and could be candidates for board or operating roles. Deliver as a PDF.

I'm a VP at a PE firm and we own a behavioral health services platform in the Southeast. I need to identify add-on acquisition targets. Using Dakota Marketplace, find all sponsor-backed behavioral health, mental health, or substance use treatment companies in the Southeast with estimated revenue between $10M and $75M. Include the sponsor name, year of investment, company description, CEO name and contact info, and any known transaction history.

I'm a Principal at a $4B mid-market PE fund preparing to exit a healthcare technology SaaS company we've owned for 5 years ($120M ARR, growing 25% YoY). Using Dakota Marketplace, identify strategic acquirers — large healthcare IT companies, health system networks with M&A track records, and PE-backed healthtech platforms that have completed a software acquisition in the last 24 months. Also surface the top 10 financial sponsors currently deploying from a fund with a healthcare technology thesis and the capacity to acquire a $500M-$1B asset. Return a ranked PDF with buyer name, acquisition history, deal sizes, key M&A contact, and strategic rationale for each.

I'm on the business development team at a $6B middle-market PE fund focused on industrials and specialty manufacturing. Using Dakota Marketplace, identify large publicly traded industrial conglomerates and diversified manufacturers that have announced or completed a division sale, carve-out, or strategic review in the last 18 months with deal size between $100M and $800M. For each target, show the corporate development lead, CFO, or M&A advisor; the divested business sector and estimated revenue; and any signals that additional carve-outs are likely. Return a ranked PDF of the top 20 opportunities sorted by strategic fit and transaction recency.

I'm a Senior Associate at a middle-market PE fund building a rollup thesis in vertical market SaaS for field service businesses — HVAC, plumbing, landscaping, and similar trades. Our platform company has $45M ARR and we need add-on targets. Using Dakota Marketplace, find all sponsor-owned and founder-led field service software or workflow automation companies in North America with estimated revenue between $5M and $40M. Include company name, primary sector, sponsor or ownership status, estimated revenue, CEO and CTO contact info, and year of last known transaction or financing. Flag companies sponsor-owned for more than 4 years with no transaction — those are likely motivated for a strategic exit. Return a ranked PDF of the top 25 targets.

I'm a VP on the deal team at a $1.2B lower middle market PE fund and we're closing a platform acquisition in industrial services. Using Dakota Marketplace, pull a list of our current LP base and identify which LPs have an active co-investment program with documented appetite in the $5M–$25M range. For each eligible LP, show their AUM, alternatives allocation, co-investment history (sector preferences and deal size), primary investment contact name and email, and any noted co-investment restrictions. Flag LPs that have co-invested with us before and any that have specifically expressed interest in industrial or business services. Return a ranked PDF of the top 15 co-investment candidates I can share with our CFO and deal team before Thursday's IC meeting.

Search Dakota Marketplace for PE-sponsored healthcare services companies that received their initial investment between 2018 and 2021 and have revenue between $10M and $100M. I am looking for potential buy-side targets before they are formally brought to market. For each company, return: company name, headquarters city and state, PE sponsor name, year of initial investment, estimated revenue or EBITDA if available, business description, and known C-suite contacts (CEO, CFO, COO) with LinkedIn profiles or email addresses. Flag any companies whose sponsor fund is known to be in its harvest period.

I'm a Principal at a $4B technology-focused PE fund. We recently acquired a regional managed services provider (MSP) in the Pacific Northwest with $80M revenue. Using Dakota Marketplace, identify potential add-on acquisition targets — specifically: PE-backed technology companies in the MSP, IT services, or cybersecurity managed services space with estimated revenue between $20M and $150M. Focus on companies headquartered in the Western US and Pacific Northwest. Show the company name, sponsor name, fund vintage, estimated revenue, CEO and CFO contact info, and any recent Form D filings or add-on acquisition activity. Flag companies that have been backed by the same sponsor for 5+ years or are approaching typical hold period end.

Using Dakota Marketplace, search for healthcare services companies that: (1) are NOT currently sponsor-backed (founder-owned or PE-exited and re-independent), (2) have estimated revenue between $20M and $150M, (3) are headquartered in the Southeast or Midwest US, (4) operate in home health, behavioral health, specialty pharmacy, or outpatient surgical services. For each result, show: company name, subsector, HQ city and state, estimated revenue, founder/CEO name and direct email, CFO name if available, headcount estimate, and any known capital raise history. Flag companies where the CEO has been in role for more than 8 years — long-tenured founders are often most open to a minority growth partner conversation.

Using Dakota Marketplace sponsor-backed company data, identify B2B SaaS companies in North America with revenues estimated between $10M and $50M that are backed by VC or growth equity firms whose flagship funds were raised between 2018 and 2020 — indicating likely pressure to exit or recapitalize within the next 12–24 months. For each target company, show the company name, city, estimated revenue range, lead investor, fund vintage year, CEO name and LinkedIn, and any recent leadership changes. Prioritize companies where the current CEO or CFO joined within the past 2 years, as succession or transition events often accelerate capital decisions.

Using Dakota Marketplace's company database, identify privately held, non-sponsor-backed companies in the government services and defense technology sectors that have been operating for at least 5 years and show signs of readiness for first institutional capital — specifically a professional management team with a CEO and CFO each in their roles for 2+ years, and headquarters in proximity to D.C., Virginia, or another major defense contractor hub. For each company, show me: CEO and CFO names and contact info, estimated revenue tier if available, any prior financing activity, and years since founding. I'm trying to build a proprietary pipeline of founder-led businesses that would benefit from a growth equity partner ahead of a potential M&A event or government contract expansion cycle.

I'm on the deal team at a lower middle market PE fund focused on business services and light industrials. We specifically target founder-owned or family-owned businesses where the founder is approaching retirement or the family is in a generational transition - these are the most motivated sellers and best candidates for our first institutional capital model. Using Dakota Marketplace's company database, identify privately held business services or light industrial companies in the Southeast and Mid-Atlantic that: (1) were founded more than 25 years ago, (2) have estimated revenue between $10M and $75M, (3) are NOT currently sponsor-backed, (4) have a CEO or founder who has been in their role for 15 or more years - suggesting potential succession pressure, and (5) are headquartered in NC, SC, VA, TN, GA, FL, MD, or PA. For each company, return: company name, state, industry subsector, estimated revenue, CEO/founder name and contact, years in role, any recent financing or transaction activity, and any known private equity interest. Flag companies where the founder has been in role for 20+ years as highest priority. Return a ranked PDF of the top 30 targets with a brief sourcing rationale for each.

I'm building a target list for a non-sponsored healthcare services platform acquisition in the behavioral health and substance use treatment space. Using Dakota Marketplace, identify non-sponsored companies with 50-500 employees operating in the Southeast and Mid-Atlantic in the behavioral health, substance use treatment, or mental health outpatient services sector. For each target, provide the company name, location, estimated revenue or employee count, CEO or founder name and contact info if available, ownership type (family-owned, founder-led, or PE-backed), and any relevant M&A activity or growth signals from the last 24 months. Flag the top 20 most accessible targets based on ownership profile and size fit.

Using Dakota Marketplace, I am preparing to exit a portfolio company in the B2B SaaS / HR technology space with approximately $25M ARR and targeting a $150–300M transaction. Help me build a buyer universe: (1) Financial buyers — PE funds and growth equity managers that have completed acquisitions in HR tech or workforce management software in the last 36 months, have current funds of $500M+ with available dry powder, and target companies in the $100–500M enterprise value range. (2) Strategic buyers — public and private companies in the HCM, payroll, or HR software sector with demonstrated M&A activity in the last 3 years. For each buyer, show: firm or company name, relevant deal history, key contact at the firm, fund size or revenue, and any Dakota data signals indicating current acquisition activity. Flag buyers that have co-invested with our existing advisors or LPs.

I support a lower middle market industrials platform company and need to build a bolt-on acquisition pipeline. Using Dakota Marketplace's company database, identify privately held industrials or business services companies with estimated revenue between $5M and $40M that are (1) located within 250 miles of our platform's headquarters in Charlotte, NC to support integration synergies, (2) NOT currently sponsor-backed, (3) founder-owned or family-owned, and (4) have a CEO or founder who has been in their role for 15+ years, indicating possible succession or retirement motivation. For each target, return company name, location, estimated revenue, employee count, ownership type, founder/CEO name and tenure, and any recent transaction or financing activity on record. Rank the output by a composite fit score based on size, proximity, and succession signal, and return a PDF shortlist of the top 20 targets I can bring to our deal team's next pipeline review.

Using Dakota Marketplace, identify founder-owned or family-operated businesses in industrial services and distribution headquartered in AL, GA, TN, SC, NC, and FL. Filter for estimated revenues between $15M-$75M with no PE backing in the last five years. Flag succession signals including founder age and recent management transitions to prioritize outreach timing.

Screen non-sponsored industrial distribution, specialty manufacturing, and supply chain services businesses with $50M-$250M revenue where Dakota career history data shows a new CFO appointment within the past 12 months. Flag businesses with prior PE ownership that exited more than 3 years ago as highest priority.

Our portfolio company is a regional provider of commercial HVAC services and we're executing a roll-up strategy in the Southeast. Using Dakota Marketplace, identify privately held, non-sponsored HVAC and mechanical services companies headquartered in GA, FL, NC, SC, and TN with estimated revenue between $5M and $30M and a founder or family owner who has been in the role for 15+ years. For each target, show company name, location, estimated revenue, owner name and tenure, and any known succession or transaction signals. Return a ranked PDF of the top 25 bolt-on candidates with a brief sourcing rationale for each.

Using Dakota Marketplace, I'm supporting the buy-and-build strategy for our portfolio company, a regional HVAC and mechanical services platform with $40M in revenue. Identify non-sponsored HVAC, plumbing, and mechanical contracting companies with $5M-$25M in estimated revenue located within 150 miles of Atlanta, GA. For each target, show company name, location, estimated revenue and employee count, founder or CEO name and contact info, years in business, and any known succession or generational transition signals. Flag the top targets most likely to be receptive to a founder-friendly acquisition based on years in role and company age. Return this as a ranked PDF I can bring to our next platform strategy session.

Using Dakota Marketplace's company and career history data, identify non-sponsored industrial manufacturing or distribution businesses in the Midwest and Southeast with $15M-$60M in estimated revenue where the CFO was hired within the last 18 months from outside the company. This outside-CFO hire pattern often signals a founder preparing the business for an institutional sale process. For each target, show company name, location, industry subsector, estimated revenue, founder or CEO name and tenure, new CFO name and prior employer, and any recent financing or M&A signals. Return a ranked PDF of the top 20 targets with a brief sourcing rationale for each.

I'm running a self-funded search to acquire one profitable, founder-owned business with $2M-$6M in EBITDA. Using Dakota Marketplace's company and career history data, identify privately held B2B services or specialty distribution companies headquartered in the Midwest or Southeast where the founder or CEO has been in their role for 20+ years and there is no PE or institutional ownership on record. For each target, show company name, location, industry subsector, estimated revenue, founder/CEO name and tenure, and any known succession, retirement, or transition signals from recent news or filings. Return a ranked PDF of the top 25 targets with a brief rationale for why each is a strong ETA candidate.

Using Dakota Marketplace, build an origination target list of privately held, founder-led insurtech and claims-workflow SaaS companies that have not yet raised an institutional growth round. Include estimated ARR, founder background (flag repeat founders with a prior exit), prior financing history, and headquarters location, and rank each company by sourcing priority so my team can plan a Q3 outreach sprint.

I'm sourcing platform investments for our climate and energy transition growth equity strategy. Using Dakota Marketplace's company database, identify privately held renewable energy services companies (solar/wind O&M, energy storage installation, EV charging infrastructure services) in the U.S. that: (1) have estimated revenue between $15M and $100M, (2) are NOT currently backed by institutional private equity, (3) have a founder or CEO who has been in the role for 10+ years, and (4) show signs of recent growth financing activity or contract wins. For each company, return company name, state, sub-sector, estimated revenue, founder/CEO name and tenure, and any known prior financing or M&A activity. Flag companies where the founder profile suggests openness to a growth capital partner. Return a ranked PDF of the top 25 targets with sourcing rationale for each.

I'm on the deal team at a middle-market PE fund focused on industrials and business services. Using Dakota Marketplace's company and transaction data, identify privately held companies in the Midwest and Southeast that were divested as corporate carve-outs from a larger parent company in the last 24 months, with estimated revenue between $20M and $150M. Newly independent carve-outs frequently lack modern infrastructure, dedicated leadership, and clear institutional ownership — making them prime candidates for our first platform investment or add-on. For each company, show company name, location, industry subsector, estimated revenue, former parent company, date of divestiture, current CEO or leadership contact, and any known private equity or sponsor interest since the carve-out. Return a ranked PDF of the top 25 targets with a brief sourcing rationale for each.

I'm on the deal team at a lower middle market PE fund supporting our veterinary services platform's buy-and-build strategy. Using Dakota Marketplace's company database, identify privately held specialty veterinary or animal health services companies in the Southeast and Texas with estimated revenue between $5M and $40M that are founder-owned or family-owned, have not completed a prior sponsor-backed transaction, and show no recent M&A activity in the last 24 months. For each company, return company name, state, estimated revenue, founder/owner name and contact if available, years in operation, and any recent hiring or expansion signals. Return a ranked PDF of the top 25 add-on targets with a brief sourcing rationale for each.

Using Dakota Marketplace's company and career history data, identify non-sponsored multi-site healthcare services businesses (dental, veterinary, dermatology, or physical therapy platforms) in the Sunbelt with $10M-$50M in estimated revenue where the founder/owner has been in place for 15+ years and the company has no record of prior institutional or sponsor investment. For each target, show company name, location, sub-sector, estimated revenue, site count if available, founder name and estimated tenure, and any recent leadership hires that might signal succession planning. Return a ranked PDF of the top 20 targets with a brief sourcing rationale for each, flagging which ones look ready for outreach this quarter.

I'm on the deal team at a lower middle market PE fund building a managed IT services (MSP) and cybersecurity platform. Using Dakota Marketplace's company database, identify founder-owned MSP and cybersecurity providers in the U.S. with estimated revenue between $8M and $60M that have not completed a prior sponsor-backed transaction and show at least one recent hiring or expansion signal. For each company, return company name, location, estimated revenue, service lines, founder/owner name and tenure, and recent signal. Flag companies offering multiple service lines as strongest platform fit. Return a ranked PDF of the top 10 targets with a brief sourcing rationale for each.

I'm on the deal team at a lower middle market PE fund building a consumer and e-commerce investment thesis. Using Dakota Marketplace's company and transaction data, identify founder-owned direct-to-consumer or specialty retail brands in the U.S. with estimated revenue between $15M and $75M that have not completed a prior institutional or sponsor-backed transaction, and show at least one recent leadership hire or expansion signal in the last 12 months. For each company, return company name, location, sub-sector, estimated revenue, founder/CEO name and tenure, and any known prior financing or M&A activity. Flag companies where the founder profile suggests openness to a growth capital partner. Return a ranked PDF of the top 25 targets with a brief sourcing rationale for each.

I'm on the deal team at a lower middle market PE fund running a buy-and-build strategy in the outsourced IT services sector. Using Dakota Marketplace's transaction data, identify the 10 most active competing PE-backed platforms in outsourced IT / managed services and pull every add-on acquisition each has completed in the last 24 months. For each platform, show the sponsor, platform company, number of add-ons completed, average time between add-ons, and the most recent add-on target with date and sub-sector. Rank platforms by acquisition pace and return a PDF benchmarking report I can present to our investment committee ahead of our next platform bid.

I'm on the deal team building a new industrials roll-up platform and need an operating CEO candidate. Using Dakota Marketplace's portfolio company and career history data, identify C-suite executives (CEO, COO, President) who left a PE-backed industrials or manufacturing portfolio company within the last 12 months, where the company had estimated revenue between $50M and $300M. For each candidate, show their prior company, sponsor, tenure, role, and any available contact information. Return a ranked PDF shortlist with a brief note on why each candidate's background fits an industrials buy-and-build thesis.

Search Dakota Marketplace for sponsor-backed portfolio companies in the industrial services sector that were acquired by their current PE sponsor between 2020 and 2022, revenue between $20-75 million. For each, list the sponsor, acquisition date, current CEO and CFO with contact info, and any recent leadership changes. Flag which ones are approaching a typical 4-6 year hold period and rank by likely exit timing.

Search Dakota Marketplace's sponsor-backed and private company universe for companies in industrial services with revenue between $20M-$75M that have never received institutional sponsor investment. For each match, pull the company's leadership team with career history and education/alumni overlap with our current portfolio company operators, most recent funding or ownership event, and any known advisor or banker relationship. Flag the top 15 companies where we have a warm-intro path through a shared board member, alumni connection, or prior colleague, and rank by origination priority.

I'm a VP on the deal team at a $5B digital infrastructure fund building a thesis around AI-driven data center demand. Using Dakota Marketplace, identify privately held data center operators, colocation providers, and power/cooling infrastructure companies in North America with estimated revenue between $30M and $250M that have raised capital or filed a Form D in the last 18 months. Include company name, sub-sector (colocation, edge, liquid cooling, power infrastructure), estimated revenue, sponsor or ownership status, CEO contact info, and any recent expansion or hyperscaler contract signals. Flag companies that are not yet sponsor-backed as priority targets. Return a ranked PDF of the top 20 targets with sourcing rationale for each.

I'm on the deal team at a PE fund building a multi-unit franchise roll-up thesis across QSR, home services, and fitness concepts. Using Dakota Marketplace's company database, identify founder-owned, non-sponsor-backed multi-unit franchise operators in the U.S. with estimated revenue between $15M and $60M and 10 or more units. For each company, return company name, franchisor brand, unit count, estimated revenue/EBITDA, owner/operator name and tenure, headquarters state, and any recent expansion or financing signal. Flag operators with 15+ units and single-owner concentration as highest-priority succession candidates. Return a ranked PDF of the top 20 targets with a brief sourcing rationale for each.

I'm building a pipeline of loan-to-own candidates for our special situations strategy. Using Dakota Marketplace, identify sponsor-backed and privately-held companies in business services and industrials with debt facilities maturing in the next 12 months, based on transaction and Form ADV-linked financing data, where the original sponsor is a fund past its typical hold period or the fund vintage suggests limited dry powder for a refinancing. For each target, pull the company's ownership history, existing lender relationships, EBITDA range if available, and any recent fundraising or distress signals from Dakota's fundraising news feed. Rank by estimated deal size and produce a prioritized target list with a one-line thesis for each.

Search Dakota Marketplace's sponsor-backed company universe for industrial technology and automation portfolio companies acquired by their current PE owner more than 4 years ago. Cross-reference against recent leadership changes to flag any company that has added a new CFO or Head of Finance within the last 9 months. For each flagged company, pull the sponsor firm, acquisition date, deal size if disclosed, current CEO and CFO contact information, and sub-sector, so I can build a proprietary outreach list ahead of a formal sale process.

I'm on the deal team for a PE-backed multi-site healthcare services platform executing a buy-and-build strategy. Using Dakota Marketplace's company database, identify non-sponsor-backed healthcare services companies in the U.S. with estimated revenue between $10M and $75M that have added a new CFO or COO in the last 12 months, a signal the owner may be preparing for a transition. For each company, return company name, sub-vertical, estimated revenue, headquarters state, owner/operator tenure, the new executive's name and hire date, and any recent expansion or financing signal. Return a ranked PDF of the top 20 targets with a brief sourcing rationale for each.

I'm sourcing proprietary deals for an independent sponsor focused on B2B software and tech-enabled services. Using Dakota Marketplace's company database, identify non-sponsor-backed software companies in the U.S. with estimated revenue between $8M and $40M, where the founder or owner has held their role for 12+ years, a common signal of succession readiness. For each company, return company name, sub-vertical, estimated revenue, headquarters state, owner/founder name and tenure, and any recent leadership or hiring signal. Exclude any company already flagged as sponsor-backed. Rank by owner tenure and return a PDF target list of the top 20 with a one-line sourcing rationale for each.

I'm building the target list for a consumer & retail roll-up thesis focused on founder-owned DTC and specialty retail brands. Using Dakota Marketplace's company database, identify non-sponsor-backed consumer/retail companies in the U.S. with estimated revenue between $15M and $60M that have hired a new CFO or VP of Operations in the last 12 months, a signal of professionalization ahead of a capital raise or sale. For each company, return company name, sub-vertical, estimated revenue, headquarters state, founder/owner name and tenure, the newly hired executive's name and start date, and any recent financing or expansion signal. Rank by recency of the executive hire and return a PDF target list of the top 20 with a one-line sourcing rationale for each.

Using Dakota Marketplace's private company database, build a target list of founder-owned industrial manufacturing or distribution businesses with $20M-$75M in estimated revenue that have been under the same ownership for 15+ years and have made at least one add-on acquisition in the past 24 months. For each target, show company name, headquarters, estimated revenue, years under current ownership, most recent M&A activity, and the most senior operating executive's name, title, and contact info. Flag any that have engaged an investment bank or advisor based on recent deal announcements. Rank by acquisition readiness and return a PDF origination list of the top 20 for our outreach team.

Using Dakota Marketplace's private company database, identify founder-owned property & casualty and employee benefits insurance brokerages in the Southeast and Mid-Atlantic with estimated revenue between $8M and $40M that show no existing private equity sponsor and where the founder/owner has been in place for 15+ years. For each target, return company name, headquarters, estimated revenue, sub-vertical (P&C, benefits, or both), founder tenure, and the most senior operating contact with title and contact info. Flag any that have made a recent tuck-under or agency acquisition of their own, a signal of platform ambition. Rank by acquisition readiness and return a PDF origination list of the top 20 for our roll-up outreach.

Using Dakota Marketplace's private company database, identify founder-owned dental, veterinary, or behavioral health services businesses with $10M-$40M in estimated revenue where the founder has been in place for 12+ years and the business has not previously taken on institutional capital. For each target, return company name, headquarters, sub-vertical, estimated revenue, founder tenure, and the most senior operating contact with title and contact info. Flag any that have made a recent add-on acquisition of their own, a signal of platform ambition. Rank by acquisition readiness and return a PDF origination list of the top 20 for our roll-up outreach.

I am sourcing orphaned assets for a special situations and secondaries mandate. Using Dakota Marketplace, screen sponsor-backed portfolio companies to find businesses that have been held seven or more years where the owning fund is at or beyond its stated term. For each company, give me the company name, sector and sub-sector, the sponsor and the specific fund vehicle, fund vintage year, current hold period in years, estimated revenue, and headquarters location. Then flag any sponsor that appears more than once in the results, because a two-asset strip is a very different and better conversation than a single-name sale. Separately, tell me which of these look like they are already in an active or recently pulled process based on banker mandates, senior finance hires, or audit refreshes, so I do not burn origination hours on a competitive situation. Finally, pull the institutional LP contacts on record for each fund so I can confirm through an LPAC member whether a term extension has quietly been granted before I commit diligence spend.

Using Dakota Marketplace, identify U.S. companies that are majority or wholly employee-owned through an ESOP, have $20M-$200M in revenue, and are showing signs that their share repurchase obligation is straining the balance sheet or forcing a strategic review. Focus on industrial services, specialty distribution, engineering and design, and business services. For each company give me legal name, headquarters city and state, sector and sub-sector, estimated revenue and EBITDA, employee count, the year the ESOP was established, ESOP ownership percentage, evidence of repurchase or liquidity strain, whether they have taken on any outside institutional capital, whether they have retained an advisor, and the tenure and estimated age of the CEO and CFO. Include full C-suite and board contacts with titles, emails, and career history so I can see who came from a sponsor-backed background and would be receptive to an institutional partner. Then rank the list by likelihood of a transaction in the next 18 months, explain the specific trigger for each of the top 10, and note which ones have no private equity ownership history at all so I know the outreach is genuinely proprietary.

Using Dakota Marketplace, source proprietary A&D aftermarket deal flow for me. Filter private companies in aerospace and defense aftermarket services, MRO, and precision machined components with $15M-$120M revenue, headquartered in the U.S., where ownership is founder-held or held by a family holding company and there is no private equity or institutional sponsor anywhere in the ownership history. For each company return: revenue and employee count, year founded, ownership structure, principal owner name and tenure, whether a non-family CFO or president has been hired in the last 36 months, any recent facility expansion or certification event (AS9100, Nadcap), full C-suite contacts with direct emails, and any prior inbound contact logged by our firm. Score each on transition readiness and tell me which five to call first and what the specific opening hook is for each.

Using Dakota Marketplace, build me a corporate carve-out origination list of 12 non-core divisions or subsidiaries that are plausible divestiture candidates over the next 12 to 18 months. Focus on parent companies that are either (a) sponsor-backed portfolio companies held five or more years by a private equity owner that is now raising its next fund, or (b) mid-cap corporates that have recently announced a strategic review, restructuring, or new CEO. For each target return: parent company name, parent owner/sponsor, division or business line, industry vertical, HQ city and state, estimated division revenue, employee count, years under current ownership, the specific divestiture signal we are keying on, and a carve-out likelihood rating of Strong, Moderate, or Low. Include the two most relevant contacts at the parent - CEO, CFO, or head of corporate development - with title, tenure, prior employer, and email. Then tell me which five to approach first, what the specific angle is for each, and which sponsors' fundraising timelines create the most urgency.

Using Dakota Marketplace career history data across sponsor-backed portfolio companies, identify operators who previously founded or led a company that was sold to a private equity sponsor and who now lead a different company with no institutional sponsor on its cap table. For each operator give me name and current title, the prior company, the acquiring sponsor and exit year, the length of the prior hold period, the current company with sector, HQ and estimated revenue, and current tenure in the seat. Rank by how close current tenure is to that operator's prior hold period, since operators tend to repeat their own timing. Also identify the deal partner and operating partner at the prior sponsor who sat on that board, with contact details, so I can pursue a warm introduction. Flag any operator who exited within the last 18 months so I can route them to a long-term nurture track instead of active outreach.

Using Dakota Marketplace, screen sponsor-backed portfolio companies in industrial and specialty services that have been held by their current sponsor for four years or more. For each company return the sponsor, headquarters, estimated revenue, acquisition date and current hold period, the CEO and CFO with titles and contact detail, and any bolt-on acquisitions completed in the last 24 months. Cross-reference each sponsor's fundraising status and flag companies where the sponsor is currently raising a successor fund or is past the end of its investment period. Rank the list by likelihood of a near-term exit process and exclude anything held less than 36 months.

Using Dakota Marketplace, build me an add-on acquisition pipeline for an existing platform. I'm a Principal in the business services vertical at a lower middle-market PE fund and we own a commercial HVAC and mechanical services platform headquartered in Charlotte with branches in Raleigh, Greenville, and Atlanta. I need founder-owned and family-owned commercial HVAC, mechanical, plumbing, and building-automation contractors with roughly $5M to $40M of revenue located in metros within a two-state radius of our current footprint - prioritize Nashville, Birmingham, Jacksonville, Richmond, and Columbia. For each target give me company name, headquarters city, estimated revenue and employee count, year founded, ownership status (founder-owned, family-owned, ESOP, or sponsor-backed), whether any institutional capital is already on the cap table, the owner or CEO name with direct email and phone, and the CFO or controller if listed. Flag any company where the founder appears to be at or past typical retirement age or where there is no identified successor, and separately flag companies that recently made a hire signaling professionalization. Exclude anything already sponsor-backed. Rank by geographic fit to our branch network, revenue scale, and likelihood of an unrepresented process, and tell me which five I should call this month and in what order.

Using Dakota Marketplace, run a sponsor-density white-space analysis across tech-enabled field services sub-sectors: commercial HVAC and mechanical, fire and life safety, water and wastewater treatment services, industrial and specialty cleaning, elevator and vertical transport service, metering and utility field services, security integration, vegetation and right-of-way management, commercial landscaping, roofing, plumbing, and pest management. For each sub-sector tell me how many sponsor-backed platforms currently exist, which sponsors own them, average platform vintage and years held, and how many add-ons have been completed in the last 24 months. Then rank the sub-sectors from least to most sponsor-penetrated. For the three least-penetrated sub-sectors, give me a target list of founder-owned or family-owned companies with no sponsor backing, including company name, HQ city and state, estimated revenue, employee count, founder or CEO name with title, email and LinkedIn, years in business, and any signal of succession or ownership transition risk. Flag every company where the founder is over 60 with no identified successor, and tell me which sub-sector deserves a full thesis memo first and why.

Using Dakota Marketplace, build me a competitive intercept map for a $95M EBITDA tech-enabled field services business in the Southeast that we expect to come to market in Q1 2027. Identify every private equity sponsor realistically capable of bidding: filter for firms with an active fund raised in the last four years, dry powder sufficient for a $250M-$600M enterprise value transaction, and demonstrated sector experience in field services, facilities services, or route-based B2B services. For each sponsor, show me: current fund vintage, fund size, estimated remaining dry powder, deal count in this sector over the last 36 months with the specific portfolio companies, typical equity check size, whether they already own a competing or adjacent platform that would make this a bolt-on (and therefore a synergy bidder we cannot outprice), which of their existing portfolio companies would be a strategic buyer instead, and the deal partner and vice president covering this sector with contact details. Then score each sponsor as High, Moderate, or Low bid likelihood, and separately flag the two or three sponsors whose existing platform overlap makes them likely to pay a strategic premium. Close with a recommendation on whether we should attempt a pre-emptive approach to the owner ahead of the banker's process, and what our differentiated angle would be against the highest-probability bidders.

Using Dakota Marketplace, identify founder-owned or family-owned home health, hospice, and personal care companies with no prior institutional or sponsor ownership, with estimated revenue between $10M and $75M. For each target, give me: company name, headquarters city and state, estimated revenue and employee count, service lines offered, founder or CEO name with age or tenure signal if available, direct contact email and phone, payor mix signal (Medicare-heavy vs. private pay) where noted, and any recent licensing, accreditation, or leadership-change signals suggesting succession risk. Cluster the results into three regional density pockets where we could build a platform-plus-bolt-on strategy, and rank the top 15 targets by combined succession risk and reimbursement exposure, noting which should be approached first.

I'm an independent sponsor building a deal-by-deal pipeline in business services. Using Dakota Marketplace, identify privately-held, family-owned companies with $15M-$60M in revenue that have never received institutional or sponsor capital and show no current investment banking engagement. For each company, include company name, headquarters, estimated revenue and employee count, founder or CEO name with age or tenure signal if noted, and any succession-risk indicators such as founder age over 60 with no identified successor. Rank by combined succession risk and deal accessibility, and return a prioritized outreach list of the top 15 targets with a one-line sourcing angle for each.

Using Dakota Marketplace, identify privately-held HVAC, plumbing, and mechanical services companies in the Southeast and Texas with $5M-$30M in revenue that show no current private equity or institutional ownership. For each target, give me: company name, headquarters city and state, estimated revenue and employee count, founder or owner name with age or tenure signal if available, service mix (residential vs. commercial), and any succession-risk indicators such as owner age over 55 with no named successor. Cross-reference against our existing pipeline to flag any company we've already contacted. Cluster the results into three regional density pockets where we could layer on 2-3 acquisitions to build route density, and rank the top 15 targets by combined succession risk and strategic fit with our platform's existing footprint.

I'm on the GP stakes team evaluating minority investments in alternative asset managers. Using Dakota Marketplace, identify multi-strategy or single-strategy investment firms with $1B-$10B in AUM that have closed a fund or raised capital within the last 12 months and show AUM growth of 20%+ year-over-year. For each firm, include headquarters, strategy focus, most recent fund size and close date, founder/CEO and CFO contact information, and any recent senior hires. Rank by AUM growth and fundraising momentum. Return a PDF target list with a short thesis note for each firm so I can prioritize outreach for our investment committee.

I lead origination at a $1.2B consumer and retail buyout fund. Using Dakota Marketplace, identify founder-owned, bootstrapped DTC and specialty retail brands headquartered in the U.S. with estimated revenue between $15M and $100M that show no prior institutional or sponsor ownership. For each company, include company name, headquarters, estimated revenue and employee count, founder or CEO name with tenure signal, any recent senior commercial or supply-chain hire signaling scale-up intent, and direct contact information. Rank the top 20 by combined revenue growth signal and founder succession risk, and return a PDF origination target list with a one-line sourcing angle for each.

I'm building a platform around a regional insurance brokerage and need bolt-on targets. Using Dakota Marketplace, identify privately-held insurance brokerages and MGAs in the Southeast and Texas with $5M-$40M in revenue that show no institutional or private equity ownership. For each target, include company name, headquarters, estimated revenue and employee count, founder or owner name with age or tenure signal if noted, book-of-business mix (commercial vs. personal lines), and any succession-risk indicators such as owner age over 55 with no named successor. Cluster results into three regional density pockets and rank the top 15 by combined succession risk and strategic fit with our platform's existing footprint.

Using Dakota Marketplace's Form ADV data, generate a list of RIAs with $150M-$750M AUM, filed by a firm with 1-3 total employees/principals, whose ADV has not been amended in over 18 months (a signal of an aging/inactive owner). Exclude any RIA already flagged in our CRM as contacted. For each match provide: firm name, principal name(s) and estimated age/tenure if available, AUM, custodian, client type mix, and last ADV filing date. Rank by AUM descending and highlight any located in our target geographies: Southeast and Mid-Atlantic.

We're building a deal-sourcing network of investment banks and boutique M&A advisors covering business services and specialty distribution companies with $10M-$75M in revenue. Using Dakota Marketplace, identify investment banks and advisory firms that have run sell-side processes in these sectors in the last 18 months, including any deals that didn't clear or are still in market. For each firm, show firm name, headquarters, typical deal size range, the Managing Director or VP covering these sectors with direct contact info, and any recent deals logged in Dakota's data with buyer/seller names if disclosed. Rank by deal volume and sector fit, and return a PDF target list of the top 20 banking relationships to prioritize for coverage calls this quarter.

Using Dakota Marketplace, identify privately-held commercial waste hauling, recycling, and environmental remediation services companies with $8M-$30M in EBITDA headquartered in the Midwest and Mid-Atlantic where the founder or majority owner is over age 58 and no institutional or private equity ownership is on record. Include estimated revenue, route/service density indicators if available, and any recent leadership changes. Rank the top 12 by combined succession risk and geographic fit with our existing regional density in Ohio, Indiana, and Pennsylvania.

Identify private equity sponsors that closed a lower middle-market industrials or business services fund in the last 12 months and still show significant unspent dry powder based on deployment pace. Cross-reference against sponsors we have an existing relationship with or have co-invested alongside previously. Rank by fund size, dry powder remaining, and sector overlap with our current thesis, and flag which sponsors have a deal team contact we've met with in the last year.

Using Dakota Marketplace, identify independent sponsors currently marketing a platform or add-on transaction in business services, healthcare services, or specialty distribution with $15M-$60M in EBITDA who show no committed institutional capital partner or private equity backing on file. For each sponsor, include deal name/target if disclosed, sector, EBITDA size, sponsor's track record (prior deals closed, if any), and the lead principal's direct contact. Rank the top 15 by deal readiness (signs of exclusivity or LOI progress) and sector fit with our current platform theses, and return a PDF target list our deal team can use to prioritize co-investment and JV capital outreach this month.

I'm on the deal team at [our firm] evaluating a vertical SaaS thesis in healthcare and legal tech. Using Dakota Marketplace, identify privately held, founder-owned SaaS companies with $10M-$40M in estimated ARR headquartered in the U.S. that have no record of institutional equity capital raised (no Form D filings) and are 8+ years old, suggesting a bootstrapped, potentially succession- or liquidity-motivated seller. For each company, show the firm name, sector, estimated revenue, headquarters, founder/CEO name and contact info if available, and years in operation. Rank by estimated revenue and return a PDF outreach list of the top 20 targets our origination team can begin calling this week.

I'm on the deal team at a healthcare-focused growth equity firm evaluating a multi-site services roll-up (dental, veterinary, or dermatology). Using Dakota Marketplace, identify privately held, founder-owned healthcare services companies headquartered in the Sunbelt with estimated revenue between $10M and $75M, 3+ locations, and no record of institutional equity or Form D private placement filings. Flag any that have had recent leadership or ownership changes. Return a ranked target list with company name, estimated revenue, location count, and owner/CEO contact info I can use to start outreach this quarter.

I want to find portfolio companies that may come to market early because the deal partner who sponsored them has left. Using Dakota Marketplace's contact movement and position-change data, identify senior investment professionals (Partner, Managing Director, Principal) who left lower middle-market and mid-market PE firms focused on business services, testing/inspection/certification, or industrial services in the past 9 months. For each departure, list: the person's name and former title, former firm, firm AUM and current fund vintage, where they went (if known), the portfolio companies they sat on the board of or led, each company's hold period to date, estimated EV range, and sector. Flag companies held 4+ years in funds that are at or past year six. Then list the remaining deal team member now responsible for each company, with email and phone, and give me a Sale Likelihood signal (High / Medium / Low) plus a one-line reason. Limit to U.S. companies with estimated EBITDA of $5M-$40M.

Using Dakota Marketplace's private company and portfolio company data, identify founder- or family-owned testing, inspection, certification and compliance (TICC) businesses in the U.S. with an estimated $8-40M of EBITDA and no current institutional sponsor. Focus on sub-verticals with recurring, regulation-driven demand: environmental and air-quality testing, fire and life-safety inspection, elevator inspection, food safety labs, and non-destructive testing for energy and infrastructure. For each company, return: company name, HQ state, sub-vertical, estimated revenue and EBITDA, founder or owner name and tenure, CEO and CFO names with LinkedIn and email where available, any recent C-suite hires, and the number of locations. Then list every PE sponsor that currently owns a TICC platform in the same sub-vertical, their platform name, hold period to date, and number of add-ons in the last 24 months. Flag each target as White Space (no sponsor-owned platform in its sub-vertical and region), Contested (one sponsor platform nearby), or Crowded (two or more), and rank the White Space targets by owner tenure and EBITDA scale for proprietary outreach this quarter.

Using Dakota Marketplace, we're signing a $410M take-private of an aerospace aftermarket components business and need to syndicate $180M of equity co-invest within 21 days. Find 12 allocators - prioritize our existing LPs, then family offices, public pensions, and sovereign/government funds - that have a dedicated co-investment program, have completed at least one industrials or aerospace/defense co-invest in the past 36 months, and can write a $15M-$50M ticket. For each, return: institution, investor type, existing LP status (Y/N), estimated co-invest ticket range, most recent relevant co-invest, typical decision timeline in weeks, co-invest lead contact (name, title, email), and a readiness signal (Strong / Moderate / Low). Sort by readiness, then flag any with fee/carry expectations that could complicate a no-fee, no-carry offer.

Using Dakota Marketplace, map the U.S. fire and life-safety services market (inspection, testing and maintenance; sprinkler and alarm installation; extinguisher service) for a new platform thesis. Part 1: List every sponsor-backed platform in the space, with sponsor, platform company, initial investment year, number of add-ons disclosed, HQ, and core regions, so we can see where the market is crowded. Part 2: Find founder-owned or family-owned businesses with 75-400 employees in regions where no sponsor platform has a strong presence. Include CEO/owner name, owner tenure, any recent CFO or COO hire, and state coverage. Flag each founder-owned target as Platform Candidate, Add-On Only, or Monitor, and summarize where white space remains by region.

Using Dakota Marketplace, identify U.S. sponsor-backed companies in B2B services and vertical software where the only institutional backer is a growth equity or late-stage venture firm that made a minority investment between 2017 and 2021, and where that investor's fund is now 8+ years past its vintage. Filter for companies with an estimated 150-1,000 employees headquartered in the Southeast, Texas, or the Midwest. For each company, return: company name, HQ, sector, year of investment, backer and fund vintage, estimated employee count, founder/CEO name with tenure, CFO name, and any leadership changes in the last 18 months. Add a Liquidity Pressure signal (High/Medium/Low) based on fund age and whether the backer has raised a successor fund. Sort by liquidity pressure, and include a short note on who at the growth investor (deal partner or board member) we should contact.

Search Dakota Marketplace private companies for founder- or family-owned specialty food ingredient, flavor, seasoning, and natural color manufacturers in the U.S. and Canada with estimated revenue of $20M-$150M and no current private equity or sponsor backing. For each company, return HQ, estimated revenue and employee count, year founded, ownership (founder vs. second-generation family), CEO and CFO names with tenure, and any leadership changes in the last 18 months. Flag companies where the founder has been CEO 25+ years, where a CFO or COO was recently hired from a sponsor-backed business (an exit-preparation signal), and where direct competitors have been acquired by PE in the last 3 years. Rank the top 12 by readiness and tell me which could anchor a clean-label ingredients platform versus serve as an add-on.

Using Dakota Marketplace, find sponsor-backed portfolio companies in business services, healthcare services and industrial technology (US, $20M-$150M EBITDA where available) that were moved into a GP-led continuation vehicle or single-asset secondary in the last 18 months. For each company return: company name, HQ, sector, current sponsor, original acquisition year, total hold period to date, continuation vehicle name and lead secondary investor if disclosed, CEO and CFO with tenure, and the sponsor's deal partner on the board. Then flag which sponsors have done 2+ continuation vehicles in the last 3 years and whether we have a prior co-invest relationship with that sponsor. Score each company as Strong / Moderate / Weak co-invest fit based on sector match and hold period (sweet spot: 4-7 years), and close with the 3 sponsors we should call this quarter and why.

Search Dakota Marketplace for founder-owned or family-owned managed IT services providers (MSPs) and managed security services providers headquartered in the Southeast (GA, FL, NC, SC, TN, AL) and Texas with 50-250 employees, no current private equity or institutional sponsor backing, and at least 8 years in operation. For each company return: company name, HQ city and state, employee count, estimated revenue band, year founded, founder/CEO name with tenure, primary verticals served (healthcare, legal, manufacturing, local government), recurring-revenue indicators, and whether any investment bank has been engaged or the company has appeared in a recent deal announcement. Flag companies where the founder is 60+ or has held the CEO seat for 20+ years as succession candidates. Rank each company as a Platform, Add-on, or Watch candidate and assign an outreach signal of Strong / Moderate / Low. Close with the top three companies for a direct founder outreach this month and a suggested first-touch angle for each.

Using Dakota Marketplace's portfolio company and contact data, find sponsor-backed US industrial companies (specialty manufacturing, industrial services, engineered components) with $20M-$150M in estimated revenue where the CEO changed in the last 18 months. For each, show company name, HQ, sub-sector, estimated revenue and employees, current sponsor and fund vintage, year acquired, new CEO's name and background (operator vs. sponsor-installed, prior exits), and whether the CFO also changed. Flag any company where the sponsor's fund is 2018 vintage or older, because those holds are most likely to be heading to a sale. Rank the top 12 by sale likelihood and include the sponsor deal partner's contact information so I can start a relationship before a banker is hired.

Using Dakota Marketplace's portfolio company and contact data, identify former CEOs, presidents, and COOs of sponsor-backed outpatient healthcare services companies (physical therapy, behavioral health, dental, dermatology, veterinary, home health) that were exited by their PE sponsor between 2021 and 2026. For each executive, show their name, last platform company, the sponsor that backed it, platform revenue band at exit, number of add-on acquisitions completed during their tenure, exit type (sponsor-to-sponsor, strategic, IPO), their current role and whether they are unaffiliated or serving only on boards, and email and LinkedIn where available. Prioritize executives who led 10+ add-ons, are not currently a full-time CEO, and are based in the Southeast or Texas. Output a ranked list of 12 with a one-line note on which sub-sector thesis each could front as an executive chair.

Using Dakota Marketplace, build an add-on target list for our commercial HVAC and mechanical services platform (HQ Charlotte, NC). Find sponsor-backed and founder-owned commercial HVAC, mechanical contracting, building automation, and refrigeration services companies headquartered in NC, SC, GA, TN, VA, or FL with estimated revenue of $15M-$120M. For each company, show company name, HQ city/state, current sponsor (if any) and investment date, years held, estimated revenue and employee count, the CEO and CFO (name, email, LinkedIn), and whether the CFO or any C-suite executive joined in the last 18 months. Flag a Sale Readiness signal: Strong (sponsor-backed, held 4+ years, new CFO in the last 18 months), Moderate (held 3-4 years or new C-suite hire), or Low (founder-owned with no recent leadership change). Sort by Sale Readiness, then revenue, and return 12-15 targets with a one-line note on strategic fit (service mix, end-markets, geographic overlap).

Using Dakota Marketplace, find U.S. sponsor-backed companies with $15M-$75M EBITDA in business services, healthcare services, or industrial tech that are held in funds with a 2014-2017 vintage and have been in the portfolio 6+ years. For each company show: current sponsor and fund name/vintage, year acquired, estimated revenue and employee count, number of add-ons completed, whether the sponsor has raised a successor fund or launched a continuation vehicle, and the CEO and CFO with tenure. Flag companies where the fund is in its extension period or where leadership changed in the last 18 months. Rank by likelihood of a near-term negotiated sale and include the sponsor's deal partner contact for each.

Using Dakota Marketplace, identify private equity sponsors that could co-underwrite a $450M equity check alongside us on a ~$1.4B enterprise-value industrial automation and test-and-measurement business. Find sponsors that have (1) held at least one portfolio company in industrial technology, automation, or precision instrumentation in the last 7 years, (2) closed a flagship fund of $2B-$12B since 2023, and (3) participated in at least one club or co-sponsored deal per their portfolio company records. For each sponsor return: firm name, HQ, latest fund name, size and vintage, estimated equity check range, relevant current and exited portfolio companies, any current portfolio company that would compete with or sell to the target (flag as a potential conflict), and the partner and principal who lead industrials with titles, emails, and LinkedIn URLs. Rank by fit, and note which sponsors we have co-invested with before based on our deal history.

We need to raise a $40M preferred equity tranche to fund a recapitalization and two add-on acquisitions at a pet health portfolio company. Using Dakota Marketplace, find single-family offices, multi-family offices, insurance general accounts, and pensions with direct co-investment programs that have completed preferred or structured equity investments in consumer or healthcare businesses in the last 24 months. For each show: investor name, type, AUM, typical direct check size, number of structured equity deals in the last 24 months, sector preference, decision-maker name, title, and email, and whether they have co-invested alongside us or our peer sponsors. Score each on fit (check size of $5-20M, consumer or healthcare appetite, ability to close in under 45 days) and return the top 12 with a recommended call order.

Using Dakota Marketplace, identify single-family offices and family holding companies in the U.S. with $500M-$5B AUM that hold controlling or significant minority stakes in operating companies acquired 7 or more years ago, with revenue of $20M-$150M in industrial services, specialty distribution, or business services. Prioritize family offices that, based on Dakota data, have increased fund commitments or hired a private markets allocator in the last 18 months, which signals a shift away from direct ownership. For each, return: family office name, location, AUM, direct portfolio company name, sector, year acquired, estimated revenue, CEO name, recent fund commitments (manager and year), family office decision-maker (Principal or CIO) with title, and an Exit Readiness signal (High / Medium / Low). Rank the top 12 opportunities and suggest a first-touch angle for the top 4 that frames our firm as a partner, not just a buyer.

Using Dakota Marketplace, identify family offices, sovereign and public pension direct-investment teams, and endowments that have made direct or co-investments in professional sports franchises, sports media rights, live venues, or sports-adjacent businesses (ticketing, team performance tech, youth sports platforms) since 2021. I'm syndicating a $180M minority stake (9%) in a North American professional franchise and need $60-80M of co-investment in $10-25M tickets. For each investor, return: name, type, HQ, AUM, prior sports/media investments (deal, year, check size), typical direct check size, whether they've co-invested alongside a sponsor before, decision-maker contacts (CIO, Head of Direct Investments) with emails, and any known conflicts such as existing ownership in another team in the same league. Flag investors likely to clear league ownership vetting (no existing same-league stake, US/Canada domicile or approved foreign ownership) and rank by speed to a signed term sheet within 45 days.

Using Dakota Marketplace, identify private credit managers and direct lenders that (1) closed a senior or unitranche direct lending fund of $2B+ since January 2025, (2) list software, technology, or recurring-revenue lending as a focus, and (3) typically hold $60M-$150M per deal. For each, give me: manager, most recent fund and size, close date, estimated remaining dry powder, typical hold size, ARR / recurring-revenue lending capability, and the head of origination or sponsor coverage contact with title and email. Flag whether we have any meeting history with them in the last 12 months. Return a table ranked by fit for a $325M unitranche on a $42M EBITDA vertical SaaS business, with a Fit Signal column (Anchor / Club Participant / Low Fit). Close with notes on who to approach first, which two lenders could credibly club the deal, and any lenders that have recently pulled back from software.

We're acquiring a precision metal-fabrication platform with 9 owned facilities across Ohio, Indiana, Michigan, and Tennessee (~1.4M sq ft, appraised at ~$68M) and want to execute a sale-leaseback at or just after close. Using Dakota Marketplace, identify 12 investment firms, family offices, and insurance general accounts that actively acquire single-tenant industrial net-lease assets through sale-leasebacks with sponsor-backed tenants. For each, show: firm name and type, AUM, net-lease strategy and current vehicle (vintage and size), typical check size, recent industrial sale-leaseback transactions, geographic focus, and the best origination contact (name, title, email, phone). Flag firms that can close in under 45 days and those that have done multi-site portfolio deals with sub-investment-grade tenants. Rank by fit and add a short note on likely cap-rate and lease-term expectations for each.

Using Dakota Marketplace, find independent sponsors and fundless sponsors headquartered in the Midwest and Southeast that focus on industrial services, specialty distribution, or business services and have closed at least one deal since January 2024. For each, show the principals and their prior firm, number of completed deals, typical enterprise value and EBITDA range, the equity partners and lenders they have used on past deals, and whether they currently have an active deal or LOI. Flag sponsors who have used the same equity partner more than once (harder to win) versus those who rotate partners (open door), and rank the top 10 by fit with a $5M-$20M EBITDA buyout mandate and a $15M-$60M equity check.

Using Dakota Marketplace's family office profiles, find single-family offices in the US Midwest and Southeast whose source of wealth is a still-owned, privately held operating company in industrial distribution, specialty manufacturing, or building products, with estimated revenue of $50M-$300M. For each, return: family office name, location, estimated family office AUM, operating company name and sector, estimated revenue, founder or chair age where available, whether the family office has made any direct private equity investments, any next-generation family members listed in investment roles, and the best principal contact with email. Flag families where the patriarch or matriarch is over 65 and the next generation is building an investment office rather than running the business. Those are the most likely sellers in the next 24 months.

Using Dakota Marketplace, identify 12-15 institutional LPs most likely to sell private equity fund interests in the next 6-9 months. Screen for public pensions, endowments, foundations, and insurers with $1B-$25B AUM where at least one seller signal is present: private equity allocation above target, a new CIO or head of private markets hired in the last 12 months, a stated shift away from buyout toward private credit or infrastructure, or budget or liquidity pressure noted in recent board or IC materials. For each LP show investor type, AUM, PE actual vs. target allocation, the specific seller signal and its date, estimated legacy exposure to 2015-2019 vintage funds, and the private markets contact we should approach. Rank by signal strength and tell me which three to call this week and why.

Using Dakota Marketplace, map the likely bidder field for a sell-side auction of a $350M enterprise-value multi-state orthopedic and physical-therapy practice management platform (about $32M EBITDA, 60% equity check expected). Identify US private equity firms that (1) have an active flagship fund of $1.5B-$8B from a 2022-2025 vintage, (2) have acquired at least one healthcare services platform in the last 36 months, and (3) typically write $100-$300M equity checks. For each sponsor return: fund name and vintage, estimated remaining dry powder, typical equity check range, healthcare services platforms acquired in the last 36 months, any portfolio company that would make this an add-on rather than a platform deal, the healthcare deal partner and principal with contact details, and whether the firm has an active fundraise that could make it more aggressive on price. Score each sponsor's bid likelihood High / Medium / Low and close with priority notes on which sponsors could pay a synergy premium and where we have an edge.

Using Dakota Marketplace, find single- and multi-family offices whose founding wealth came from industrial distribution, specialty manufacturing, or MRO and fluid-power businesses, and that make direct private equity investments. We're acquiring a $210M-EV specialty fluid-power distributor in the Southeast and want 2-3 family offices to take a combined $25-35M minority co-invest alongside our equity check. For each family office, return: name, location, estimated AUM, source of family wealth (company and sector), direct-deal check size range, number of direct deals in the last 36 months, whether they've co-invested alongside a PE sponsor before, the CIO or head of direct investments with contact info, and any family members or former operators who could serve on the board or as executive chair. Rank by industry adjacency and co-invest readiness, and flag any family office that owns a competitor or a likely customer of the target.

Using Dakota Marketplace, find single- and multi-family offices, public pension direct/co-investment teams, and sovereign wealth funds that have bought minority stakes ($75M-$300M equity checks) in sponsor-backed U.S. business services or tech-enabled services companies in the last four years, either through minority recaps, partial exits, or co-investments alongside a GP. For each investor return: name, type, AUM, direct-investment team size, typical minority check size, hold-period preference, sector focus, notable minority deals (target, sponsor, year), whether they accept non-control governance with board observer rights only, and the head of direct investments with title, email, and phone. Rank by fit for a 30-40% minority sale of a $900M-EV compliance-services platform we have owned since 2021, and flag any that are already LPs in our funds.

We're building a platform thesis in K-12 special education services, applied behavior analysis (ABA) therapy and early-childhood education. Using Dakota Marketplace, identify private equity firms that currently own companies in these sub-sectors. For each portfolio company return: company name, HQ state, sponsor, the sponsor fund that holds it and that fund's vintage, year acquired, estimated revenue or site count where available, and the sponsor deal lead's name, title, email and LinkedIn. Flag holdings where the fund is 6+ years old or the company has been held 4+ years as likely 2027 exit candidates, and flag sponsors whose most recent fund close was more than 5 years ago as possible motivated sellers. Rank the list by exit likelihood and add a one-line approach angle for each.

We own a temperature-controlled warehousing platform in the Southeast and want add-ons. Using Dakota Marketplace's private company and investment firm data, list US-headquartered cold-chain logistics companies (refrigerated warehousing, reefer trucking, pharma cold-chain 3PLs) with estimated revenue of $25M-$250M. For each, show current owner (sponsor and fund vintage, or founder-owned), year of investment, HQ, facility footprint, and the deal partner at the owning sponsor with contact details. Flag sponsor-owned assets in year 4+ of hold, or held in a fund past its investment period, as 'Likely Exit Window'. Rank by fit with a Southeast footprint and give me a short call note for the top 5 sponsor contacts.

Using Dakota Marketplace, identify single-family offices, multi-family offices and permanent-capital vehicles (including holding companies and evergreen funds) that have made direct minority or structured equity investments of $40-120M in founder-led or sponsor-backed industrial and business-services companies in the last 3 years. We are exploring selling a 30-40% minority stake in a 7-year-hold specialty facility-services portfolio company (~$65M EBITDA) to return capital to Fund III LPs while keeping control. For each investor, show: name, type, estimated AUM, direct-deal team size, typical check size, hold-period philosophy (long-hold vs. 5-7 year), sector track record, and the direct-investment decision maker (name, title, email, phone). Flag which ones are already LPs in our funds, and rank the list by fit and likely speed to term sheet.

I'm an Associate Director on a growth equity deal team advising a founder-led vertical SaaS company serving specialty-contractor businesses (~$38M ARR, 28% growth, 92% gross retention) ahead of a sale or structured minority recapitalization. Using Dakota Marketplace, build a target list of 12 sponsors that (1) closed a fund of $750M+ in the last 18 months, (2) list vertical software or software-enabled services as a core strategy, (3) have completed at least two software add-on or platform acquisitions in the last 24 months, and (4) typically write $40M to $150M equity checks. For each sponsor show fund name and size, vintage, dry-powder estimate, the two most recent software deals, lead partner for software with title, and a Strong/Moderate/Low fit signal on construction-adjacent vertical software. Flag any sponsor that already owns a direct competitor, and finish with priority notes on the first-wave outreach list.

I'm a partner at a $1.5B lower mid-market PE firm focused on transportation and logistics. Using Dakota Marketplace, map sponsor-owned cold-chain and temperature-controlled logistics companies headquartered in the Southeast US (GA, FL, NC, SC, TN, AL) that have been held by the current sponsor for 5+ years, with estimated revenue of $50M-$250M. For each company show owner sponsor, fund vintage and remaining fund life, hold period, prior add-on acquisitions, C-suite contacts (CEO, CFO, and any recent leadership change), and likely exit timing. Rank by probability of a sale process in the next 12 months and tell me who at the sponsor to call first.

Using Dakota Marketplace, screen non-sponsored, founder-owned business services companies in the US with $15M-$60M estimated revenue and founder or CEO tenure above 12 years. For each, show HQ, sub-sector, estimated revenue, employee count, founder/CEO name and tenure, and whether a sponsor-backed competitor has traded in the last 18 months. Score transaction readiness (Strong/Moderate/Low) using succession indicators and add-on activity, and recommend the top three to approach and how to frame the first conversation.

Search Dakota Marketplace for institutional allocators — pension funds, endowments, and insurance companies — with AUM over $1B that have private credit or direct lending in their investment focus. Pull the name, AUM, and head of alternatives at each. I am building a prospect list for a private credit fund raise.

Using the Dakota Marketplace connector, give me all allocator accounts in [state or metro] across every institutional type — pension funds, endowments, foundations, family offices, insurance companies, and sovereign wealth funds — with AUM over $500M. Show me name, AUM, type, and key contact. I want a full picture of my addressable market in this territory.

Search Dakota Marketplace for pension funds and endowments with AUM over $2B in [region] where I may not have a named CIO or head of alternatives. Show me every account in that universe with their current decision maker contact so I can compare against my CRM.

Using the Dakota Marketplace connector, pull all pension funds, endowments, foundations, and insurance companies in [Midwest / specific states] with AUM over $1B. Show me firm name, AUM, account type, and primary investment contact. I am auditing my coverage territory.

Using Dakota Marketplace, find family offices added to the platform in the Southwestern United States in the last 6 months with AUM over $100M. I want to identify newly tracked offices before my competitors find them.

Search Dakota Marketplace for all multi-family offices in [metro areas]. These are platforms where one relationship can reach multiple UHNW families. Show me name, AUM, and the managing director or CIO at each.

Search Dakota Marketplace for corporate development teams and family offices with AUM over $500M that have indicated interest in technology or software investments. I am advising on the sale of a mid-market B2B SaaS company and need to build a universe of potential strategic and financial buyers. Pull the organization name, location, AUM, key decision maker, and investment focus for each.

Search Dakota Marketplace for public pension funds, endowments, and large family offices with AUM over $2B that are based in major US financial centers — New York, Boston, Chicago, San Francisco, and Los Angeles. I am building an institutional roadshow target list for an upcoming IPO and need to identify accounts with equity investment appetite. Include the organization name, metro area, AUM, key decision maker, and any emerging manager program flags.

Search Dakota Marketplace for institutional allocators — pension funds, endowments, insurance companies, and family offices — with AUM over $1B that have private credit or direct lending in their investment focus. I am raising capital for a direct lending fund and need a prospect list of institutions likely to allocate to private credit strategies. Pull name, AUM, location, and head of alternatives or fixed income contact at each.

Search Dakota Marketplace for family offices with AUM between $500M and $10B in the Midwest and Southwest that are flagged for private equity focus. I am a financial sponsors coverage banker building my territory map and want to identify family offices that are actively deploying PE capital and may be interested in co-investment opportunities or financing relationships. Pull the firm name, location, AUM, key contact, and co-investment flags.

Search Dakota Marketplace for hedge fund-oriented allocators and family offices with AUM over $500M that have a private credit, direct lending, or distressed investment focus. I am advising a company entering Chapter 11 and need to identify potential DIP lenders or distressed debt investors to approach for financing. Pull the organization name, AUM, location, investment focus, and primary credit or alternatives contact.

I'm running a GP-led secondary process for a 2018-vintage mid-market private equity fund. Using Dakota Marketplace, find all fund-of-funds, dedicated secondaries buyers, and endowments with known secondary PE mandates and AUM over $1B. Include the primary investment contact name, title, email, phone, and any notes on secondary appetite. Prioritize accounts in the Northeast and Mid-Atlantic.

I'm managing a follow-on equity offering for a $2B publicly traded healthcare technology company. Using Dakota Marketplace, find all institutional allocators — large asset managers, healthcare-focused endowments, and long-only equity funds — with AUM over $500M that have recently increased their healthcare technology or digital health equity exposure. Include the portfolio manager or analyst name, AUM, and direct contact info so I can build a targeted roadshow list.

I'm an M&A advisor at a bulge bracket bank covering software and technology. A PE client wants to build in vertical market software — targeting founder-led or PE-owned SMB SaaS businesses with $10M-$50M ARR. Using Dakota Marketplace, identify all PE-sponsored vertical market software companies in North America with estimated revenue between $15M and $75M that have been owned by a sponsor for 3+ years and haven't completed an add-on in the last 18 months. Include the sponsor name, fund vintage, current CEO and CFO, estimated EBITDA if available, and flag any companies with recent Form D activity or advisory mandates. Return a ranked list of the top 25 priority targets.

I run real estate capital markets at a mid-size investment bank advising a $2B commercial real estate debt fund on its LP raise. Using Dakota Marketplace, identify institutional allocators - insurance companies, corporate pensions, and family offices with AUM over $1B - that have an active real estate debt or commercial mortgage allocation and made a new real estate credit commitment in the last 24 months. Include the head of real assets or fixed income contact at each institution, their AUM, typical commitment size, and preferred fund structure (closed-end vs. evergreen). Prioritize accounts with no existing relationship with this manager and deliver a ranked prospect list as a PDF.

I'm a Director in Infrastructure Debt Capital Markets at a mid-size investment bank. My client is raising a $1.5B infrastructure debt fund targeting U.S. and European core infrastructure assets. Using Dakota Marketplace, identify institutional allocators — insurance companies, corporate pensions, sovereign wealth funds, and large family offices — with AUM over $2B that have an existing infrastructure debt or core infrastructure allocation and made a new real assets or infrastructure commitment in the last 24 months. Include the head of infrastructure, head of fixed income, or CIO at each institution, their preferred deal structure (closed-end vs. open-end), typical ticket size, and geographic focus. Prioritize accounts with no known relationship with this manager and return a ranked LP prospect list as a PDF.

I'm a Director in healthcare investment banking advising on a $300M follow-on equity offering for a publicly-traded digital health company focused on ambulatory care software. Using Dakota Marketplace, identify institutional investors — large asset managers, healthcare-focused endowments, long-only equity funds, and healthcare system investment offices — with AUM over $500M that have an active allocation to healthcare or life sciences equities. Surface accounts where the portfolio manager or healthcare analyst name and direct contact are on file. Flag investors that have participated in comparable digital health or health IT equity raises in the last 24 months. Return a ranked target list of 40 priority accounts as a PDF, organized by tier: existing healthcare holders vs. new-to-name opportunities.

Using Dakota Marketplace transaction and sponsor data, show me all PE-sponsored healthcare IT, health tech, and healthcare SaaS companies that received their initial investment between 2019 and 2021. I want to proactively surface potential sell-side mandates before these companies go to a formal process. For each, include: company name, location, sponsor name and fund vintage, estimated revenue range, company description, known leadership contacts (CEO/CFO), and whether any advisor is currently attached. Sort by investment year ascending so I can prioritize the oldest vintage first.

Using Dakota Marketplace's sponsor-backed company database, identify PE-backed companies in the industrials sector — manufacturing, distribution, specialty chemicals, or industrial services — with estimated EBITDA between $50M and $250M, where the private equity sponsor's original investment was made between 2019 and 2021. For each, provide: portfolio company name, PE sponsor, estimated hold period elapsed, CEO and CFO name and contact information, headquarters state, and any recent leadership changes such as a new CFO or VP Finance hire in the last 18 months. I want to proactively reach these companies' management teams with a refinancing or dividend recapitalization pitch before they hire an adviser and run a formal process.

I'm a Director in Technology M&A Advisory at a boutique investment bank. Using Dakota Marketplace transaction and sponsor data, identify PE-backed vertical software companies that received their initial investment between 2019 and 2021 and are now entering a 4-6 year hold window. Filter for companies with estimated ARR between $25M and $200M, sponsored by fund III-VI vintage vehicles, and headquartered in the US. Include the company name, sponsor name, estimated investment date, fund vintage, company description, known leadership contacts (CEO/CFO), and whether any advisor is currently attached. Sort by investment date ascending so I can prioritize the oldest holds. Build this as a tiered outreach list: Tier 1 (high likelihood sell-side), Tier 2 (possible recap), Tier 3 (long shots worth a cold call).

Using Dakota Marketplace transaction and sponsor data, identify PE firms that have made at least two platform or add-on acquisitions in the industrial services sector in the past 18 months. For each firm, show the fund name, vintage year, total fund size, geographic focus, current known portfolio companies in industrial services, deal contact name and title, and email. Rank results by recency of last industrial services transaction. Flag any firms that are actively raising their next fund, as those are most likely to deploy capital aggressively in the near term. I need this for a pitch prep meeting with my managing director tomorrow.

Using Dakota Marketplace, identify institutional allocators — including public pension funds, corporate pensions, endowments, and insurance companies — actively expanding their private credit or direct lending allocations. For each, show current private credit allocation versus target, recent private credit commitments in the last 18 months, key contacts, and upcoming review windows. Filter for AUM above $500M.

I'm preparing an investor targeting list for a pre-IPO PIPE raise for a $400M revenue SaaS business planning to go public in Q3. Using Dakota Marketplace, identify crossover funds, hedge funds with long/short equity strategies, and large mutual fund complexes that have a track record of participating in late-stage private rounds and PIPE transactions in enterprise software. For each, include the fund name, AUM, primary investment contact with title and direct email, their known allocation to technology/software, and any documented investments in SaaS companies at or above $300M ARR in the last 24 months. Rank by fit and activity level and return a tiered target list of 50 investors.

Using Dakota Marketplace, identify institutional LPs — specifically public pension funds, corporate pension plans, and insurance companies — that show signs of being overallocated to private equity relative to their stated target allocation. Filter for LPs with: total AUM over $2B, PE allocation at or above 20% of portfolio, and portfolios containing 15+ active PE fund relationships. For each LP, provide: institution name, total AUM, current PE allocation percentage, named fund commitments visible in Dakota, key investment staff contacts (CIO, Head of PE, Head of Alternatives), and any recent board minutes or plan documents discussing portfolio rebalancing or PE concentration risk. Prioritize LP targets that have had recent staff turnover in their investment team, as this signals potential openness to strategic portfolio restructuring conversations.

Identify private equity firms that closed a new buyout or growth equity fund in the past 18 months with fund size above $1B. Show total AUM, portfolio company count, deal contact, career history signals of active platform-build activity, and flag firms in the first 12-month deployment window as highest priority.

I'm running a sell-side process for a U.S. industrial automation and technology platform and need to build our strategic buyer universe. Using Dakota Marketplace, identify European and Asian strategic acquirers that have completed at least one U.S. acquisition in industrial automation, robotics, or industrial software over the past 24 months. For each acquirer, show headquarters country, sector focus, their most recent U.S. transaction with deal size, and the corporate development contact who led it. Flag any acquirers that have made more than one U.S. acquisition in this window, since repeat buyers are the strongest targets for an early call. Return a ranked buyer list I can share with the deal team.

I'm advising a PE sponsor on a $400M take-private transaction and need to help them fill a $75M co-investment gap. Using Dakota Marketplace, identify family offices and endowments with $1B or more in AUM that have documented direct co-investment programs and have made at least one co-investment in the industrials or business services sector in the past three years. For each, show AUM, typical check size if known, key decision-maker contact with title and email, most recent co-investment activity, and any existing relationship with our sponsor client's other funds. Rank by check-size fit and speed-to-close likelihood. Return a ranked target list I can share with the deal team this week.

I'm advising a sponsor on a $500M multifamily portfolio recapitalization and need to build the equity target list. Using Dakota Marketplace, identify public and corporate pension funds, insurance companies, and family offices with $1B or more in AUM whose current real estate allocation is below their stated target by 200 basis points or more. For each institution, show total AUM, current vs. target real estate allocation, most recent real estate commitment date and size, key decision-maker contact with title and email, and any recent public plan minutes referencing real estate pacing or multifamily interest. Rank by allocation gap size and return a PDF target list I can bring to our capital markets kickoff.

I'm advising a $300M-revenue industrial services company on refinancing its existing credit facility and need a lender universe before we go to market. Using Dakota Marketplace, identify direct lending and private credit managers with $1B or more in AUM that have completed at least one industrials or business services deal in the last 24 months. For each lender, show fund AUM, typical check size if known, sector focus, most recent transaction with deal size, and the key deal-team contact with title and email. Flag lenders that have participated in unitranche or second-lien structures. Return a ranked PDF lender list I can share with the deal team before our kickoff call.

I'm supporting a private-equity-backed wealth management platform's RIA roll-up strategy. Using Dakota Marketplace, screen SEC-registered investment advisers with AUM between $500M and $3B that show strong 24-month AUM growth, lean headcount, and no existing aggregator affiliation. Flag any succession or leadership-transition signals from recent Form ADV filings and rank the resulting list by acquisition priority.

I'm advising a sponsor-backed healthcare services company on a $600M unitranche refinancing. Using Dakota Marketplace, identify direct lending funds and BDCs with $2B or more in AUM that have completed at least one healthcare services or provider-services financing in the past 24 months. For each lender, show fund name, total AUM, estimated available dry powder if known, typical check size, healthcare sector focus notes, and the key deal-team contact with title and email. Flag any lenders that already have an existing relationship with our sponsor client, since those relationships should move first through diligence. Return a ranked PDF lender universe I can share with the deal team before our kickoff call.

I'm on the financial sponsors coverage team at a boutique investment bank. Using Dakota Marketplace, identify private equity sponsors that closed a new fund of $500M or more in the past 18 months but show no record of engagement with our bank — no recent M&A advisory mandate, debt placement, or capital markets transaction on file. These are active, well-capitalized sponsors who represent our biggest coverage gaps. For each sponsor, show firm name, latest fund size and vintage, total AUM, sector focus, key deal-team contacts with title and email, and any recent add-on or platform acquisition activity that signals near-term financing needs. Return a prioritized outreach list I can bring to our coverage team's pipeline review this week.

I'm structuring a $250M Reg D private placement for a middle-market infrastructure sponsor. Using Dakota Marketplace, identify family offices and SEC-registered RIAs with $250M or more in AUM, documented interest in private placements or real assets, and at least one private placement participation in the last 24 months. For each institution, show AUM, investment focus, most recent private placement participation with deal size if known, key decision-maker contact with title and email, and any existing relationship with our bank's prior deals. Rank the list by check-size fit and return a PDF distribution list I can share with our capital markets team before the kickoff call.

I'm running a sell-side process for a specialty insurance services company generating $40M in EBITDA and need to build a buyer universe. Using Dakota Marketplace, identify (1) PE sponsors that have a dedicated insurance or financial-services investment vertical and have completed at least one insurance-services transaction in the last 24 months, and (2) strategic acquirers in insurance distribution, claims administration, or MGA platforms that have made an add-on acquisition in the same period. For each buyer, show firm or company name, AUM or revenue, insurance vertical focus, most recent relevant transaction with date and target description, typical check size or deal range, and the key deal-team contact with title and email. Flag buyers that have completed more than one insurance-services deal in the period as highest priority. Return a ranked PDF buyer list I can share with our deal team before we launch outreach.

I'm running a sell-side process for a $40M-revenue specialty industrial distribution business and need a buyer universe before we launch. Using Dakota Marketplace, identify private equity sponsors with $500M+ AUM that have completed at least one industrial distribution or specialty distribution deal in the last 36 months, plus any strategic acquirers in the same space that Dakota tracks. For each prospective buyer, show fund/company size, sector focus, most recent relevant transaction, typical check size if known, and the key deal-team or corporate development contact with title and email. Flag buyers who have done more than one deal in this subsector in the last three years as highest priority. Return a ranked PDF buyer list I can share with the deal team before our kickoff call.

I'm structuring a $400M unsecured bond offering for a BBB-rated industrials issuer. Using Dakota Marketplace, identify insurance companies, public pension funds, and fixed income-focused asset managers with $1B+ in AUM that hold or have recently purchased BBB-rated industrials corporate credit. For each institution, show AUM, fixed income allocation, recent BBB industrials activity, and the key portfolio manager or credit contact with title. Rank institutions by likely order size based on their trading activity and prior primary market participation. Return a PDF investor targeting list I can hand to our syndicate desk before the roadshow.

I'm structuring a $300M follow-on equity offering for a small-cap financial services issuer. Using Dakota Marketplace, identify institutional asset managers and public pension funds with $2B or more in AUM that hold public equity positions in comparable financial services names and have shown recent portfolio activity in the sector over the last 12 months. For each institution, show AUM, equity allocation percentage, key portfolio manager or analyst contact with title and email, and any recent commentary on financial services sector positioning. Rank the list by likely order size based on typical position sizing, and return a PDF investor targeting list I can bring to our syndicate desk before the roadshow.

I cover financial sponsors for a regional investment bank. Using Dakota Marketplace, identify private equity and private credit funds with a 2020-2022 vintage and fund size between $500M and $3B that have shown a meaningful slowdown in new transaction activity over the past 12 months relative to their first 24 months of deployment. For each sponsor, show fund name, vintage, fund size, transaction count by year, and the senior deal-team contact with title and email. Flag sponsors likely sitting on undeployed capital as they approach the end of their investment period. Return a ranked PDF coverage list I can use to prioritize outreach this quarter.

Search Dakota Marketplace for insurance general accounts with AUM over $3B that have disclosed or documented allocations to structured credit, CLOs, or securitized products, or that have participated in a private placement in the last 18 months. Pull the institution name, AUM, structured credit allocation percentage, primary fixed income or structured products contact with title and email, and their most recent related commitment. I'm distributing a new CLO equity/mezz tranche and need a prioritized outreach list as a PDF ahead of our roadshow.

Pull all investment firms currently fundraising (Form D filings within the last 12 months) for private credit or direct lending funds between $250 million and $1 billion in target size. Include firm AUM, fund number, target close date, lead partner contact, and whether they've used a placement agent historically. Sort by likely need for a financing or distribution partner and flag the top 10 for outreach this quarter.

I need to get ahead of financing mandates before they go to competitive process. Using Dakota Marketplace, pull all PE sponsors managing a fund that is in years 3-5 of its investment period, with a fund size of $500M-$3B, and cross-reference against recent transaction activity to estimate uncalled capital remaining. Prioritize sponsors with no existing financing relationship with our bank and at least one platform acquisition logged in the past 9 months. For the top 25, include fund vintage, target/hard cap, deployment pace, and the deal team contact with direct email. Output a target list our coverage team can use for outbound financing pitches this quarter.

I support capital introduction for our prime brokerage clients. A $750M multi-strategy hedge fund is launching next quarter and needs a targeted LP introduction list. Using Dakota Marketplace, identify institutional allocators — fund-of-hedge-funds, endowments, and family offices with AUM over $500M — that have made a new hedge fund allocation in the last 18 months and show a stated preference for multi-strategy or relative value strategies. For each, include AUM, hedge fund allocation percentage, most recent manager commitment, key decision-maker contact with title and email, and typical minimum investment. Rank by fit and return a PDF cap intro target list I can share with the fund's launch team before our first round of investor meetings.

I lead restructuring advisory outreach at a boutique bank. Using Dakota Marketplace, identify PE-sponsored companies that received their initial sponsor investment between 2018 and 2020, in industries with elevated leverage exposure (industrials, retail, business services), where the sponsoring fund is now 5+ years past vintage (signaling potential hold-period pressure). For each company, show sponsor name, investment year, sector, estimated revenue, current CEO/CFO contact, and any recent leadership turnover or transaction activity. Flag companies with both a lapsed sponsor fund vintage and a recent CFO departure as highest-priority restructuring advisory targets. Return a ranked PDF call list for this quarter's outreach.

Using Dakota Marketplace, pull all investment firms currently raising a fund in market (Fund II through Fund V) with target fund size between $250M and $1.5B across private equity, private credit, and real assets strategies. For each firm, surface AUM, prior fund vintage and size, general partner and CFO/COO contact details, and any noted use of subscription lines or NAV facilities in prior funds. Rank the list by fund size and time since first close so I can prioritize outreach for fund finance and GP-led secondaries advisory conversations this quarter.

We're structuring a $150M PIPE for a mid-cap industrials issuer and need to move quickly. Using Dakota Marketplace, identify family offices and RIAs with AUM between $250M and $3B that have a stated investment preference for public equities, special situations, or PIPE transactions and have made a similar private placement commitment in the last 24 months. For each account, include AUM, investment preferences, most recent relevant commitment, and the primary decision-maker's name, title, and email. Rank by likelihood to participate and return a PDF investor list I can circulate to our syndicate desk today.

We've been retained sell-side for a $2.5B AUM RIA exploring a sale. Using Dakota Marketplace, identify RIA and wealth management platforms with AUM over $5B that have completed two or more acquisitions in the past 24 months, based on Form ADV growth patterns and firm data. For each acquirer, include current AUM, number of recent acquisitions, typical target profile (AUM range, geography), and the primary M&A or business development contact with title and email. Rank by acquisition pace over the last 12 months and return a PDF buyer list of the top 15 to approach for this sell-side process.

I advise sponsors on GP-led secondaries and continuation vehicle transactions. Using Dakota Marketplace, identify private equity firms currently managing a fund that is vintage 2017-2019 (now in years 7-9 of its life) with total fund size between $300M and $1.5B in industries with strong recent exit multiples (technology, healthcare, business services). For each firm, show fund name and vintage, fund size, GP contact with title and email, number and sector of remaining portfolio companies if noted, and any recent secondary market activity flagged in Dakota's notes. Rank by fund age and remaining dry powder pressure, and return a PDF target list of the top 15 sponsors for outreach this quarter.

Using Dakota Marketplace, identify alternative investment firms managing between $2B and $15B in AUM across private equity, private credit, or real assets that have grown AUM by more than 40% over the past three years and have a founder or founding partner over age 60 still serving as CEO. For each firm, show current AUM, 3-year AUM growth rate, number of institutional LP relationships, most recent fund vintage and size, and the senior-most executive's name, title, and contact info. Flag any firms that have not previously sold a stake or taken on strategic capital. Rank by AUM growth and succession-risk signal, and return a PDF pipeline of the top 15 candidates for our GP stakes origination team.

Using Dakota Marketplace, pull all U.S. state and municipal public pension plans with $2B-$15B in AUM where recent plan notes or public disclosures indicate a funded ratio below 70% or a recently announced actuarial assumption change increasing the unfunded liability. For each plan, show AUM, funded ratio if noted, most recent actuarial update date, and the CIO or Executive Director contact with title and email. Rank by size of funding gap and return a PDF target list of the top 15 plans for our public finance team to approach about a pension obligation bond or funding strategy mandate.

Using Dakota Marketplace, identify direct lending and private credit managers currently investing out of a fund raised in 2022-2023 with a fund size between $750M and $3B that have shown AUM growth of 25%+ since final close. For each firm, show current fund size and vintage, AUM growth trajectory, fund strategy focus, and the CFO or Head of Capital Markets contact with title and email. Flag any firms not already flagged in our CRM as an existing lending relationship. Rank by likely near-term leverage facility need and return a PDF target list of the top 15 managers for our origination team's outreach this quarter.

I am running a sell-side process for a behavioral health services platform and need a dual-track buyer list. Using Dakota Marketplace, identify both sponsor-backed strategics that already own a behavioral or outpatient health platform to bolt onto, and financial sponsors with a stated healthcare services thesis. For each buyer, give me the firm name, buyer type, the relevant platform company or the specific fund and vintage year, estimated uncalled capital for the sponsors, and the number of acquisitions they have closed in behavioral or outpatient health in the trailing 36 months. Rank them by demonstrated sub-sector appetite combined with genuine ability to transact, and explicitly tell me which buyers to cut from the teaser list because they are late in their investment period, under-capitalized, or have no sub-sector history. Then, for every buyer that makes the list, name the specific partner or deal-team member who signed the prior sub-sector transactions so I can route materials to a person rather than a generic IR inbox.

Using Dakota Marketplace, build me the universe of equity sponsors that could credibly bid on a $600M-$1.2B U.S. surface transportation public-private partnership concession with a 35-year availability payment structure. Include infrastructure funds, pension plans and sovereign wealth funds that invest directly, insurance general accounts with infrastructure equity mandates, and strategic developers and concessionaires. For each sponsor give me firm name, firm type, headquarters, current fund name and vintage, fund size, estimated dry powder, target equity check size, geographic mandate, whether they invest in greenfield or brownfield or both, documented U.S. P3 or availability payment experience, their most recent three infrastructure transactions with dates and sizes, and their typical hold period. Flag which sponsors have closed a new infrastructure fund in the last 18 months and are therefore under pressure to deploy, and which have publicly stated an appetite for transportation assets. Give me the Head of Infrastructure, the transportation sector lead, and the relevant Managing Director for each, with titles, emails, and direct lines. Rank by likelihood of participating in a competitive process and note any that would need a local partner or a debt provider we could staple financing to.

Using Dakota Marketplace, build me a NAV lending and preferred-equity origination screen. Filter to U.S. and European private equity, growth equity, and private credit sponsors with $500M-$6B in AUM that have at least one fund of 2016-2019 vintage still holding meaningful unrealized NAV. For each sponsor return: firm AUM, the specific late-life fund and its vintage and size, estimated remaining unrealized NAV and number of remaining portfolio companies, largest single position as a share of remaining NAV, time since the last material distribution, whether the sponsor is currently raising a successor fund and where that fund stands, prior use of fund-level leverage or a continuation vehicle, and the CFO and Head of Capital Markets with direct contact details. Rank by how acute the liquidity constraint is, and for the top five draft the specific one-paragraph pitch angle I should lead with.

Using Dakota Marketplace, build me an origination list of 12 mid-market alternative asset managers with $500M to $5B in AUM that are credible candidates for a minority GP stake sale or management company recapitalization. Prioritize firms showing at least two of the following: a founder or majority owner aged 60 or older with no announced succession plan, a widening gap between fund size growth and GP commitment capacity, recent senior hires in finance or operations, ownership concentrated in one or two principals, or a Form ADV amendment indicating a change in ownership or control. For each firm return: firm name, HQ, AUM, primary strategy, latest fund and vintage, number of GP owners, founder name and approximate tenure, the specific signals detected with dates, and a mandate-likelihood rating of Strong, Moderate, or Low. Include the two best contacts - founder/CEO, CFO, or COO - with title and email. Then draft a one-paragraph pitch angle for the top five explaining why a minority stake solves their specific constraint, and flag any firm where a competitor advisor already appears engaged.

Using Dakota Marketplace, build a mandate pipeline of privately held companies where an ESOP, partial recapitalization or management buyout is a credible succession alternative. Screen for no institutional sponsor on the cap table, estimated revenue between $40M and $200M, headcount above 100, and owner or family tenure of 15 years or more. For each company return HQ, sector, estimated revenue, employee count, owner tenure, ownership structure including generation and approximate shareholder count, and the named CEO, CFO and any identified successor with contact details. Rank by ESOP financeability using management bench depth as the primary filter, and flag any company with no COO or identified successor as a strategic-sale candidate instead. Separately flag any company with existing minority private equity ownership or a litigation history that would complicate trustee fiduciary review.

Using Dakota Marketplace, build a sell-side origination list of US asset managers with between $500M and $5B in AUM. For each firm return headquarters, AUM, primary strategy, year founded, ownership structure, the CEO and any named next-generation leadership with titles and contact detail, and senior investment or distribution departures in the last 24 months. Flag firms where the founder appears to have no identified successor, where equity is concentrated among two or fewer principals, or where a CEO transition has been announced. Then tell me for each firm whether the most likely mandate is a full sell-side sale, a GP-stakes transaction, or a minority-interest raise, and why.

Using Dakota Marketplace, build me a targeted investor list for a private placement I'm marketing. I'm a Director in Private Capital Markets and we're placing a $400M investment-grade-rated (BBB) senior secured note for a regulated water utility, 12-year tenor, with a delayed-draw component. Pull insurance company general accounts, insurance-affiliated asset managers, and private credit and infrastructure debt funds that actively participate in rated private placements. For each investor give me institution name and type, total general account or strategy AUM, private placement or private credit allocation size, typical ticket size, stated rating floor, tenor and duration appetite, sector exposure including any utility or infrastructure concentration limits, whether they can accommodate a delayed-draw structure and on what terms, and whether they lead or follow. Include the private placement portfolio manager or credit analyst covering utilities and infrastructure with direct email and phone, plus any comparable regulated water or wastewater transactions they participated in over the last 24 months. Segment into anchor investors capable of a $50M-plus ticket, core investors at $15M to $50M, and fill investors below $15M, flag anyone at or near a sector cap, and note which of our bankers has an existing relationship based on logged meeting history.

Using Dakota Marketplace, build me a sell-side mandate origination list based on exit pressure. Identify private equity sponsors that are currently in market with a new flagship fund AND hold portfolio companies acquired six or more years ago. For each sponsor return: firm name, HQ, AUM, current fund in market with target size and months in market, amount raised to date, prior fund vintage and size, and the number of portfolio companies held 6+ years. Then list those aging portfolio companies with company name, sector, HQ, acquisition date, years held, estimated revenue, and the CEO and CFO names with direct contact details. For each sponsor, name the deal partner or operating partner covering that company and give me our firm's last contact date and full meeting history with that sponsor. Score each sponsor high, medium, or low on likelihood of running a sell-side process in the next 12 months, then tell me which three to call this week and exactly what to lead with on each call.

Using Dakota Marketplace, build me a cross-border inbound buyer origination list for U.S. middle-market industrial technology and specialty manufacturing assets in the $150M-$750M enterprise value range. Identify European and Asia-Pacific acquirers of both types: (1) strategic corporates and family-controlled industrial groups that have completed at least one U.S. acquisition in the last 36 months, and (2) private equity sponsors and sovereign-linked investment vehicles headquartered outside the U.S. with an established or newly opened North American presence. For each acquirer, show me: headquarters country and entity type, the U.S. transactions they have completed since 2023 with target names and sectors, typical check size and enterprise value range, whether they have a U.S. office or U.S.-based corporate development team, the named corporate development head or U.S. investment lead with direct contact details, and any publicly stated North American expansion strategy. Then segment the list into Tier 1 acquirers with proven, repeatable U.S. deal execution, Tier 2 acquirers with one U.S. deal or a newly established U.S. platform, and Tier 3 acquirers with stated intent but no completed U.S. transaction. Finish with the eight cross-border relationships I should prioritize for coverage meetings this quarter and, for each, the specific U.S. asset profile I should be bringing them.

Using Dakota Marketplace, pull all sponsor-backed portfolio companies held by middle-market private equity firms for 3+ years in asset-light, high-margin sectors (business services, specialty distribution, healthcare services) with no disclosed recapitalization or dividend event in the last 24 months. For each company, show me: sponsor name and fund vintage, portfolio company name and sector, estimated EBITDA scale if available, hold period to date, C-suite contact (CFO or CEO) with direct email, and any recent add-on acquisitions signaling EBITDA growth. Score each as High, Medium, or Low dividend recap candidacy based on hold period and apparent deleveraging runway, and give me the top 20 to prioritize for outreach this quarter with a one-line rationale for each.

I originate subscription line and NAV facilities for mid-market fund sponsors. Using Dakota Marketplace, identify private equity and private credit firms currently raising a fund (Fund II through Fund V) with a target size between $300M and $1.5B that show no existing lender relationship noted in Dakota's data. For each firm, include fund name, target size, amount raised to date if available, fund vintage and sector focus, GP contact with title and email, and any recent LP commitment activity that signals momentum toward a first or final close. Rank the list by proximity to close so I can prioritize outreach to sponsors most likely to need a facility in the next 60 days, and return a call list I can bring to our credit committee.

Using Dakota Marketplace, pull all sponsor-backed portfolio companies held 6+ years by middle-market private equity firms in cyclical sectors (industrials, retail, energy services) with no disclosed refinancing or recapitalization event in the last 24 months. For each company, show me: sponsor name and fund vintage, portfolio company name and sector, estimated EBITDA scale if available, hold period to date, CFO or Treasurer contact with direct email, and any recent leadership departures signaling stress. Score each as High, Medium, or Low restructuring-conversation likelihood based on hold period and sector cyclicality, and give me the top 15 to prioritize for outreach this quarter with a one-line rationale referencing the specific stress signal for each.

I'm prepping a financing pitch for a mid-market private equity sponsor client. Using Dakota Marketplace, pull the firm's full fundraising track record — every fund vintage, target and final close size, close date, and time between funds. Show how their fund size has trended over time and flag any funds that took longer than 18 months to close or came in below target. Include their current fund's status (open, closing, or closed) and estimated remaining dry powder if available. Return a PDF diligence summary with a one-page track record table I can drop into our pitch deck.

I'm a Managing Director running a private placement desk advising on a $900M single-asset continuation fund process. Using Dakota Marketplace, identify sovereign wealth funds, large endowments, and secondaries-focused fund of funds with AUM over $5B that have documented participation in a prior GP-led secondary or continuation vehicle. For each institution, show AUM, current private equity allocation percentage, the CIO or head of secondaries contact with direct email, and any recent commitments to continuation vehicles logged in Dakota's data. Rank the list by likelihood to anchor a new tranche and return a PDF targeting memo I can bring to our syndication kickoff.

I place unitranche and syndicated direct lending facilities for sponsor-backed companies. Using Dakota Marketplace, identify sponsor-backed portfolio companies held by middle-market private equity firms with existing debt facilities originated 4+ years ago in asset-light sectors (business services, healthcare services, specialty distribution). For each company, show sponsor name and fund vintage, portfolio company name and sector, estimated EBITDA scale if available, original facility date, CFO or Treasurer contact with direct email, and any recent add-on acquisitions or leadership changes signaling refinancing need. Score each as High, Medium, or Low refinancing likelihood based on facility age and platform growth, and return the top 15 to prioritize for outreach this quarter with a one-line rationale for each.

Pull all insurance company general accounts and public pension funds in Dakota Marketplace with a real estate allocation greater than 8% of total AUM and at least one commitment to a core or core-plus REIT/fund in the past 3 years. Include: institution name, AUM, real estate allocation %, most recent real estate manager relationship, key real estate decision-maker contact, and email/phone if available. Segment into 'Tier 1 anchor candidates' (>$5B real estate exposure) and 'Tier 2' ($1-5B), and flag any with public plan minutes mentioning upcoming real estate RFPs.

I cover public finance relationships for infrastructure and municipal financing. Using Dakota Marketplace's public plan board minutes data, identify public pension funds with AUM between $5B and $40B whose most recent board minutes reference infrastructure investment, P3 (public-private partnership) projects, or funding status/contribution shortfalls in the last two quarters. For each plan, show AUM, funded ratio if disclosed, the specific language flagged from the minutes, and the CIO or Executive Director contact with direct email. Score each as High, Medium, or Low near-term financing opportunity based on funding pressure and infrastructure language, and return a PDF briefing the top 15 I can bring to our public finance origination meeting.

Using Dakota Marketplace, identify private equity funds and BDCs with $500M-$3B in reported dry powder that have completed a take-private transaction of a US-listed small-cap company (under $2B market cap) in the past three years. Include fund vintage, AUM, sector focus, and the deal lead or Head of Public-to-Private contact. Rank the top 15 by dry powder size and recency of their last take-private deal to prioritize our financing sponsor outreach this quarter.

Identify business development companies and direct lending funds that are within 18 months of the end of their stated investment period and still show meaningful unfunded commitments or dry powder. For each, note current AUM, vintage year, existing lender relationships if known, and the appropriate capital markets or treasury contact. Prioritize funds with no identified subscription line or warehouse facility relationship in our records, and flag any that have had a leadership change in the finance or treasury function in the last six months.

We're syndicating a $450M term loan B for a business-services sponsor-backed borrower. Using Dakota Marketplace, identify CLO managers and private credit/direct lending funds with $1B+ in AUM that have documented capacity for new deployments (based on recent fund closes, reported dry powder, or fewer than 3 new positions logged in the last quarter) and an existing allocation to business services or asset-light sectors. For each firm, show AUM, sector mandate, the portfolio manager or Head of Credit contact with direct email, and any recent syndicated deals they've participated in per Dakota's data. Rank the top 20 by likely allocation size and return a PDF syndicate target list for our desk to begin calls this week.

My group covers financial sponsors for subscription line and NAV lending opportunities. Using Dakota Marketplace's Form D data, identify private equity and growth equity firms that have filed a new Form D in the last 90 days for a fund between $300M and $1.5B, and that do not currently have a disclosed relationship with our bank. For each firm, show the fund name, target size, amount raised to date, firm AUM, headquarters, and the CFO or COO contact with direct email. Prioritize firms that are past their first close but haven't yet reached final close, since financing conversations are most timely then. Return a ranked PDF target list for our coverage team's outreach this month.

I cover financial sponsors at a regional bank's leveraged finance group. Using Dakota Marketplace, identify private equity firms that filed a new Form D in the last 90 days for a fund between $300M and $1.5B and show no disclosed relationship with our bank. Rank by proximity to final close and include AUM, target fund size, amount raised to date, and the CFO or COO contact. Return a prioritized subscription line target list as a PDF I can bring to our next coverage meeting.

I lead the financial sponsors group covering direct lending relationships at a middle-market investment bank. Using Dakota Marketplace, pull all private credit and direct lending fund managers that have filed a new Form D in the last 12 months with target fund size over $250M, and cross-reference against funds we don't currently have a financing relationship with. For each, show fund name, target size, strategy focus (unitranche, mezzanine, asset-based), headquarters, and the senior originations contact. Rank by fund size and flag any that overlap with our existing sponsor coverage list. Return a PDF I can bring to our next capital markets team meeting.

I run placement mandates for private equity and private credit managers, and I want to find fundraises that are stuck. Using Dakota Marketplace's fund and fundraising data, identify closed-end PE, private credit, and real assets funds that launched 15 or more months ago, have raised less than 50% of their stated target, and don't have a placement agent of record. For each fund, show: manager name, fund name and number, strategy, target size, amount raised to date, months in market, prior fund size and vintage, first close date if any, headquarters, and the IR/fundraising lead and CEO/Managing Partner with email and phone. Also flag whether the manager has had a senior IR departure in the past 12 months, and whether the prior fund's LPs (per Dakota's LP commitment data) have re-upped. Rank the 12 best mandate prospects and assign a Mandate Fit signal (High / Medium / Low) based on prior-fund quality, LP re-up rate, and the size of the gap to target. Add a one-line pitch hook for each.

Using Dakota Marketplace, identify single- and multi-family offices in the U.S. with $1B+ AUM that run an active direct private equity or control-acquisition program. Filter to family offices with at least two direct control or majority investments in the last 36 months based on Dakota's investment and transaction data. For each family office, return: name, HQ city, AUM, sector focus of their direct deals, number of direct deals in the last 36 months, typical equity check size, whether they have a dedicated direct-investing team (name and title of the head of direct investments, with email and phone), and whether any recent deal disclosed a financial advisor or lender. Flag family offices with no disclosed buy-side advisor on any recent deal as Unadvised, and flag any that recently hired a direct-investing professional from a PE firm or investment bank. Rank the list by deal velocity and check size so I can prioritize buy-side advisory, acquisition financing, and deal-sourcing coverage calls for Q4.

Using Dakota Marketplace, our client is launching a $1B-target evergreen private credit interval fund (quarterly liquidity, 1.25% management fee) aimed at the wealth channel. Build a distribution target list of 14 RIAs, independent broker-dealers, and private banks that: (1) have over $5B in AUM, (2) have added at least one interval fund, tender-offer fund, or non-traded BDC to their platform in the past 24 months, and (3) have a named head of alternatives or alternatives due diligence lead. For each firm return: firm name, channel type, AUM, number of advisors, evergreen alts already on platform, alternatives DD gatekeeper (name, title, email), estimated platform-onboarding timeline, and a platform-fit signal (Strong / Moderate / Low). Group the output by channel and summarize the three firms that could anchor $100M+ in the first 12 months.

Using Dakota Marketplace, identify sponsor-backed portfolio companies that could be IPO or dual-track candidates in the next 12-24 months. Criteria: U.S.-headquartered, estimated revenue above $500M or more than 2,000 employees, held by the current sponsor for five or more years, and at least one public-company-signal executive hire in the last 18 months, such as a CFO, General Counsel, Chief Accounting Officer, or Head of Investor Relations with prior public-company experience. For each company, return sponsor, fund vintage holding the asset, initial investment year, sector, HQ, employee count, the new executive hire(s) with prior employer, and the sponsor's deal partner or board member. Score each company High, Medium, or Low for IPO readiness and add a note on whether a sale is also likely, based on the fund's age and the sponsor's current fundraising status.

Our client is a U.S.-listed vertical software company (~$650M enterprise value, $140M revenue, 22% EBITDA margins) whose board is evaluating a take-private. Using Dakota Marketplace, identify private equity sponsors that have completed at least one U.S. public-to-private transaction in software or tech-enabled services since 2021 and whose current flagship fund closed in the last 36 months. For each sponsor, return: firm name, HQ, current flagship fund (size, vintage), estimated remaining dry powder, typical equity check range, take-private deals completed with dates, relevant portfolio companies that could create add-on synergies, and the partner(s) who led their software take-privates with contact info. Score each sponsor's Fit (Strong/Moderate/Weak) based on check-size alignment, sector overlap, and recent activity, and flag any sponsors likely to need a co-investor or club partner for an equity check above $300M.

Using Dakota Marketplace, identify U.S. mid-market PE sponsors with 2014-2018 vintage buyout funds ($300M-$2.5B) that are past their original 10-year term or within 18 months of it, and that still hold three or more portfolio companies acquired before 2020. For each sponsor, show fund name, vintage, fund size, number of aged holdings, the two oldest portfolio companies with sector, hold period, and estimated revenue, the deal partner on each, and whether the sponsor has raised a successor fund in the last 24 months. Flag sponsors that are in market with a new fund (DPI pressure), any fund-extension votes noted in public plan minutes, and any prior use of a GP-led continuation vehicle. Rank by near-term sell-side mandate likelihood and give me the best coverage contact at each sponsor.

Using Dakota Marketplace, identify 12 US and European private equity and growth equity firms with a fund of vintage 2013-2017 that still holds 4 or more unrealized portfolio companies. For each firm return: firm name, HQ, AUM, the aging fund name, vintage and size, number of remaining portfolio companies (list the 3 largest), whether a successor fund has been raised since 2022 and how much, the firm's most recent fundraising status, and the managing partner and CFO/COO with contact info. Flag any firms whose LPs (per Dakota investment data) include public pensions that have recently cited 'DPI' or 'liquidity' concerns in plan minutes. Rank by estimated tail-end NAV pressure and label each High / Medium / Low priority, then draft a 3-sentence pitch angle for the top 4 explaining which liquidity solution (LP tender, strip sale, NAV loan, or full continuation vehicle) fits best.

Using Dakota Marketplace, identify independent private equity and private credit firms with $2B-$10B in AUM, at least three closed flagship funds, and no existing GP-stakes investor or strategic minority partner. Prioritize firms showing succession or permanent-capital signals: founding partners with 25+ years of tenure, recent hires or promotions into COO, Head of Strategy, or President roles, a new product launch (credit, secondaries, or evergreen/wealth vehicle) in the last 18 months, or a flagship fund that closed above target. For each firm return: firm name, HQ, AUM, strategy, number of funds, most recent fund size and close date, founding partners and tenure, recent senior hires, and the CFO and COO contacts with email and phone. Assign a GP-stake readiness signal of Strong / Moderate / Low and explain the rationale in one sentence. Finish with the top four firms to pitch this quarter and a suggested opening thesis for each.

Using Dakota Marketplace, identify investment firms founded or registered in the last 18 months whose founding partners previously held Partner, Managing Director, or Principal titles at established private equity or private credit sponsors. For each spinout, show: firm name, HQ, strategy, founding partners and their prior firms and titles, target fund size, first-close status or amount raised, anchor LPs if known, and whether they have completed a first platform deal. Flag spinouts that are still raising and have not yet hired a placement agent or named a lender relationship. Provide direct contacts for each founding partner and suggest which of our bank's services (buy-side M&A, acquisition financing, fund placement) to lead with. Return the top 12 ranked by target fund size and deal readiness.

In Dakota Marketplace, find private equity sponsors with $750M-$5B funds currently in market (new fund launches, Form D filings, or first/interim closes in the last 12 months) whose prior flagship fund is vintage 2019-2022. For each sponsor, list the current fund name, target size, amount raised to date, prior fund vintage and size, and every portfolio company in that prior fund held 3+ years with estimated revenue over $75M. Cross-reference Dakota Fundraising News and allocator commitment records to note which LPs have re-upped versus passed. Flag sponsors whose prior-fund portfolio companies have not had a liquidity event while the new fund is in market - i.e., where a dividend recapitalization could return DPI before final close. Include the sponsor's CFO and head of capital markets contacts, and rank the 10 best recap pitch opportunities with a one-line rationale.

Using Dakota Marketplace, identify 12-15 sponsor-backed U.S. companies with EBITDA of roughly $20M-$100M whose most recent debt financing (unitranche, first lien, or second lien from a private credit lender) closed in 2020-2021 and therefore likely matures in 2027-2028. For each company, show company name, sector, sponsor, sponsor fund and vintage, year acquired, the lender(s) and facility type from the transaction record, estimated facility size, and the CFO and sponsor deal partner (name, title, email, phone). Flag a Refi Urgency signal: High (maturity within 18 months and the sponsor fund is past its investment period), Medium (maturity 18-30 months out), or Low. Also note whether the sponsor has raised a new fund in the last 24 months, since that changes their appetite for a dividend recap versus a straight refinancing. Sort by Refi Urgency and add a one-line angle for my first call.

Using Dakota Marketplace, identify U.S. and Canadian public pensions, endowments, and corporate pensions with $5B+ in AUM and 15%+ allocated to private equity that show signals of an upcoming LP-led secondary sale: PE actual above target, a new CIO or head of PE in the last 18 months, liquidity or pacing concerns noted in board minutes, or a stated plan to reduce manager count. For each LP show AUM, PE target vs. actual, estimated number of fund relationships, oldest active fund vintages, consultant, the specific signal(s) with date, and the CIO and head of private equity with contact details. Score each LP high/medium/low for sale likelihood and suggest the portfolio slice (tail-end funds, specific vintages, or strategy) we should pitch.

Using Dakota Marketplace, build a buyer universe for a sell-side process on a founder-owned Ontario specialty packaging manufacturer with ~CAD 95M revenue and ~CAD 22M EBITDA. Include three groups: (1) U.S. and Canadian private equity firms with at least one current Canadian portfolio company in packaging, plastics, paper, or specialty materials, (2) Canadian public pensions and their direct-investment arms that have done direct or co-investments in industrial businesses under CAD 500M EV, and (3) single-family and multi-family offices in Canada and the U.S. Northeast that list direct private equity as a strategy. For each buyer return: firm name, type, HQ, AUM or most recent fund size, relevant portfolio companies with Canadian presence, typical equity check, likely angle (platform vs. add-on), and the partner or deal lead covering industrials with title, email, and phone. Tier the list A/B/C by likelihood to bid and flag any buyer with a portfolio company that is a direct competitor.

I'm running a sell-side process for a 15% minority, non-control LP stake in a professional sports franchise at an implied enterprise value of roughly $3.2B (about a $480M check). Using Dakota Marketplace, build a buyer universe of single-family offices, multi-family offices, endowments, sovereign-linked allocators, and sports-focused fund managers that have made sports, media, or live-entertainment investments, or that list sports among their direct investment interests. For each show: investor name, type, AUM, prior sports or media investments, estimated capacity for a $100M+ check, the key decision-maker with title and contact info, and any league-ownership considerations to note. Tier them A/B/C on capacity plus demonstrated sports appetite and return the top 14 in teaser-distribution order.

Using Dakota Marketplace, identify private equity, infrastructure, and private credit managers currently fundraising (first close in the last 12 months or launching in the next 6) with target fund sizes of $1B-$6B, whose prior two funds have no disclosed LPs from GCC sovereign wealth funds, GCC public pensions, or Gulf family offices. Cross-reference against GCC allocators in Dakota with an active or recently expanded mandate in each manager's strategy. For each GP, return: firm name, HQ, strategy, current fund and target size, first-close status, existing placement agent (if any), Middle East LP count in prior funds, the 2-3 best-matched GCC allocators with typical ticket size, the GP's Head of IR or Capital Formation contact, and a Mandate Fit score (Strong / Moderate / Weak). Rank the top 12 and draft a 4-sentence pitch email for the top GP that names the specific GCC allocators we could introduce.

Using Dakota Marketplace, find Japanese institutional investors - life and non-life insurers, megabanks and trust banks, sogo shosha trading houses, and large corporate pension funds - that have done at least one of the following in the last 24 months: acquired a minority GP stake in a US alternatives manager, seeded or anchored a first-time US fund, opened a New York or US-based investment office, or publicly stated an intention to expand US private markets exposure. For each institution, return: name, type, AUM, US alternatives activity (deal, counterparty, approximate size, date), the US-based or Tokyo-based decision-maker contacts with titles and emails, and the strategies they've prioritized (private credit, infrastructure, mid-market PE, real estate). Then rank them by likelihood to hire a US buy-side advisor for a GP-stake or platform acquisition in the next 12 months, and for the top 5, draft a one-paragraph pitch angle tying our recent sponsor-side M&A credentials to their stated priorities.

Using Dakota Marketplace, find private equity firms with a 2018-2021 vintage buyout or growth fund of $750M-$5B that (1) are currently raising a successor fund, (2) have not announced a fund-level NAV facility, and (3) have hired or promoted a CFO, Head of Capital Markets, or Head of Treasury in the last 18 months. For each firm, return: firm, HQ, target fund and vintage, fund size, successor fund status and target size, months in market, the new finance hire with title and start date, and the managing partner contact. Add a Mandate Signal column (High / Medium / Low) based on how many criteria they hit and how long the successor fund has been in market. Sort by Mandate Signal and give me a short note on the outreach angle for the top 3, such as funding a DPI distribution ahead of a final close or financing follow-on investments without launching a continuation vehicle.

Using Dakota Marketplace, find U.S. independent and fundless sponsors that have completed at least three platform acquisitions since 2019, show repeat capital partners (the same family offices or equity/mezz providers across deals), and have no committed fund yet. For each, show: firm, HQ, founding partners and their prior firms, number of deals completed, sector focus, typical EV range, known capital partners from Dakota relationship data, recent CFO / IR / operating-partner hires, and any Form D filings suggesting fund or SPV formation. Score each as Fund-Ready / Approaching / Early and list contact info for the two founding partners. Then give me 8 family offices and fund-of-funds with emerging-manager or first-time-fund programs that have backed independent-sponsor-to-fund conversions; that's the anchor LP universe we'd bring to the pitch.

Pull from Dakota Marketplace a list of founder-led private equity and private credit firms with $2B-$10B in AUM that are raising or recently closed Fund IV through Fund VII, where a founding partner has been at the firm 20+ years and there has been no announced GP-stake transaction. For each firm, show AUM, strategy, current fund and target size, fundraising status, founding partners and tenure, recent senior hires or departures, and any new product launches (credit sleeve, continuation vehicle, evergreen fund) that would require GP commitment capital. Score each firm on succession pressure and capital need, and give me the five best candidates for a GP-stake or minority-sale conversation with a one-paragraph rationale and the right person to call.

Using Dakota Marketplace, identify private equity, private credit, and real estate managers currently in market with a successor fund that is at least 1.75x the size of their prior fund, with a target size of $500M-$3B. For each manager, return: firm name, HQ, strategy, prior fund size and vintage, current fund target and first-close status, size step-up multiple, estimated GP commitment in dollars (assume 2% unless disclosed), number of investment partners, and the CFO and Managing Partner with email. Flag managers where the estimated GP commitment per partner is more than $4M and the prior fund's DPI is below 0.5x. Those partners are funding a larger commitment with little realized carry, which is the most likely need for GP-commitment financing.

Using Dakota Marketplace, build a cornerstone target list for a placement mandate we just signed: a five-partner team spinning out of a large-cap healthcare PE platform to raise a $500M debut lower middle-market healthcare services fund. Find 12-15 allocators (funds of funds, seeding and anchor programs, endowments, foundations, public pensions with emerging manager programs, and family offices) that have anchored or made a first-close commitment of $25M+ to a Fund I in the last four years, especially spin-out teams. For each, show the investor, type, AUM, the Fund I they anchored (manager, fund size, year), the anchor economics they typically negotiate (fee break, GP revenue share, co-invest rights), and the decision-maker. Flag which allocators have a healthcare exposure gap so we lead with them in the first wave of meetings.

Using Dakota Marketplace, build the investor book for a 30-49% minority equity stake sale ($400-600M) in a US grid-scale battery energy storage platform with 2.1 GW operating and contracted capacity, some of it near military installations. Identify infrastructure funds, public pensions, sovereign and state-owned investors, and insurers that have made direct or co-investments in US energy transition or power assets in the last 36 months with typical tickets of $150M or more. For each investor return: investor type and headquarters country, infrastructure AUM, recent US energy or power direct deals (asset, size, date), typical ticket size, the head of infrastructure and the deal lead with contact details, and a CFIUS profile (Low = US or exempt-state investor with no foreign-government control; Moderate = allied-country investor likely to need a voluntary filing; High = foreign-government-controlled investor likely to face a mandatory filing or mitigation). Rank by fit and close with priority notes on sequencing the first-round outreach and managing timeline risk.

Using Dakota Marketplace, build a target investor list for a $750M rated collateralized fund obligation backed by a diversified portfolio of 38 buyout and growth LP interests (2018-2022 vintages). The structure has a $450M A-rated senior note, a $150M BBB mezzanine note, and a $150M unrated equity tranche. Find US and Bermuda life insurers, annuity writers, reinsurers, and public pensions that (1) hold rated feeder notes, CFOs, or rated private-credit feeders, (2) have a private credit or structured credit allocation of at least $500M, and (3) have mandates permitting investment-grade private placements. For each investor, return: name, type, general account or plan AUM, structured or private credit allocation, prior rated-note or CFO participations, preferred tranche (senior, mezz, or equity), typical ticket size, and the head of private placements or structured credit with contact info. Group results by tranche fit and flag investors whose capital-charge treatment may have changed after recent NAIC guidance on CFOs.

Using Dakota Marketplace, build a buyer universe for the sale of a $6.5B-AUM fee-only independent RIA headquartered in the Southeast with 70% high-net-worth clients and a strong 401(k) advisory book. Identify RIA consolidators and acquirers (PE-backed aggregators, multi-family offices, and wealth platforms) that have completed at least two RIA acquisitions since 2024. For each buyer return: firm name, total AUM, PE sponsor(s) and year of investment, number of RIA acquisitions since 2024, largest deal size by AUM, geographic presence in the Southeast, typical deal structure (equity rollover, earn-out), corporate development lead and CEO with titles, emails, and phones, and any team departures or leadership changes logged in Dakota in the past 12 months. Tier buyers as Tier 1/2/3 based on Southeast footprint, deal capacity above $5B AUM, and sponsor hold period (sponsors 4+ years into their hold are likely more aggressive).

We've been mandated to run a competitive process to monetize a 4.5% tiered royalty on a commercial-stage oncology therapy (~$180M of expected royalty receipts over 10 years). Using Dakota Marketplace, identify investment firms focused on healthcare royalties, life sciences structured equity, or pharma credit. For each, show: firm AUM, most recent fund name, size and close date, estimated remaining dry powder, typical check size, any royalty or synthetic royalty transactions they are known for, and the senior deal professional to contact (name, title, email, phone). Rank by fit for a $120-160M upfront payment and flag firms that closed a fund in the last 18 months. Also list 5 multi-strategy credit managers or insurers with documented royalty appetite as non-traditional bidders.

We're running a $150M structured preferred equity raise for a sponsor-backed healthcare IT company ($85M EBITDA) that wants to fund an acquisition without refinancing its unitranche. Using Dakota Marketplace, identify insurance companies, public pensions, family offices and opportunistic credit funds that have invested in preferred equity, structured equity or hybrid capital in the last 3 years. For each, show investor type, AUM, typical check size, stated target return range, prior structured equity deals or commitments to hybrid-capital funds, and the decision-maker for direct and co-invest deals with email and phone. Rank by check-size fit ($20M-$50M) and recent activity, and flag anyone we've met in the last 12 months based on Dakota meeting history.

Using Dakota Marketplace, build an investor book for a $150M privately placed convertible preferred issued by a sponsor-backed specialty chemicals company (~$110M EBITDA, 4.8x senior leverage). Target investors that have participated in convertible preferred, structured equity or hybrid capital deals of $20-75M in the last 3 years: insurance general accounts, family offices, multi-strategy credit funds, pension opportunistic sleeves and structured-equity funds. For each investor, show: name, type, AUM, hybrid/structured capital allocation or mandate, typical ticket size, recent comparable deals (issuer sector, size, date), preferred terms they've accepted in the past (coupon range, PIK vs. cash, conversion premium) where known, and the deal-level decision maker (name, title, email, phone). Group the book into anchor candidates (could take $40M+) and fill-out investors, and flag any that have an existing relationship with the sponsor.

I'm a VP on the GP-led secondaries advisory team at a boutique investment bank. We're advising a mid-market buyout GP ($2.8B AUM) on a single-asset continuation vehicle for a 2018-vintage healthcare services platform (target raise $620M; lead-investor process launching in 3 weeks). Using Dakota Marketplace, build two lists. List 1: the 15 most likely new-money secondary buyers (dedicated secondaries funds, insurers and large pensions with direct GP-led activity) with their last 3 continuation-vehicle commitments, typical check size, and the Dakota contact who covers GP-leds. List 2: segment the GP's existing LP base (assume Fund IV, $1.1B, 2018 vintage) into likely roll, likely sell and likely to need a clear liquidity option, using allocator type, recent secondary-sale activity and any publicly reported liquidity pressure. Rank List 1 by fit (Strong/Moderate/Low), flag any buyer that has a conflict with a competing process we know of, and give 3 priority notes on lead-investor candidates.

I lead GP-led secondaries advisory at a boutique investment bank. Using Dakota Marketplace, find middle-market PE sponsors ($1B-$6B AUM, US and Europe) whose 2015-2018 vintage funds are in extension or approaching the end of their term, with 3+ unrealized portfolio companies, a DPI below 0.9x, and no prior continuation vehicle. For each sponsor, show fund name, vintage, size, TVPI/DPI, remaining holdings by sector, lead LPs, any extension notices, the Head of IR and a deal partner, and whether they have a new fund in market (which tends to complicate a CV). Rank by likelihood to engage an advisor in the next two quarters, and give me a pitch angle for each.

Using Dakota new fund data, Form ADV ownership disclosures and investment firm profiles, identify 10 alternative asset managers with $2B-$15B AUM and at least three institutional funds raised that could be GP stake or minority recapitalization candidates. For each, show HQ, strategy, AUM, funds raised, ownership and succession signals, latest fund status and a candidate rating (Strong/Moderate/Low). Note which managers are mid-fundraise so I can time outreach, and match the strongest candidates to likely GP stake buyer types.

Using dakota marketplace Show me all CIOs and Deputy CIOs at public pension funds and endowments in the Northeast. Return account name, name, title, institution, and contact info. create a shareable pdf

using dakota marketplace Show me public pension funds in the Northeast with CIO or senior investment leadership changes in the last 120 days. Flag vacant roles and recent new hires. create a pdf

using dakota marketplace Pull all Deputy CIOs and Directors of Investments at public pensions with AUM between $500M and $2B in the Northeast. Create pdf with institution name, AUM, title, and contact details. create a pdf

Search Dakota Marketplace for GPs located on the West Coast with AUM over $500M that have a vacant Head of Investor Relations contact. Show me the account name, type, and AUM. I am building a list to help conduct a search for the vacancies in this territory. create a pdf that i can share with my team.

Search Dakota Marketplace for institutional allocators in the northeast region- consultants and public pensions with AUM over $1B that have a vacant head of global private equity or private debt (credit) contact. Show me the account name, type, and AUM. I am building a list to help conduct a search. create a pdf that i can share with my team.

using dakota marketplace Show me LPs on the west coast with managing director or senior investment leadership changes in the last 120 days. Flag vacant roles and recent new hires. create a pdf

I'm leading a confidential executive search for a CIO role at a $4B public pension in the Midwest. Using Dakota Marketplace, find all individuals currently listed as CIO, Deputy CIO, or Chief Investment Strategist at public pension funds, endowments, or foundations with AUM between $1B and $10B in the Midwest and Great Plains. Return their full name, current firm, AUM, email, and phone so I can begin initial outreach.

I'm sourcing candidates for a Head of Private Markets role at a $15B state pension in the Southeast. Using Dakota Marketplace, find all Directors of Private Equity, Heads of Alternatives, or Private Markets Portfolio Managers at public pension funds or large endowments with AUM over $3B in the Southeast and Mid-Atlantic. Include name, title, employer, institution AUM, and direct contact info so I can begin confidential outreach.

A client asset manager is looking to hire a Portfolio Manager for an emerging markets equity strategy. Before we formally launch, I need to map the available talent pool. Using Dakota Marketplace, find all Portfolio Managers, CIOs, and Senior Investment Analysts at firms with an active emerging markets or global equity strategy and AUM over $1B. Return their name, firm, title, AUM, and direct contact details.

I'm conducting a confidential COO search for a $200M ARR PE-backed logistics technology company in the Midwest preparing for an eventual exit. Using Dakota Marketplace, identify senior operations leaders — COOs and EVPs of Operations — currently at PE-sponsored logistics, supply chain, or transportation technology companies with revenue between $100M and $500M. Include their current employer, PE sponsor, tenure in role, and direct contact information. Flag candidates who have navigated a company through a PE exit or sale in the past 5 years — those are my highest-priority targets. Return as a ranked PDF.

I'm conducting a CFO search for a $350M ARR PE-backed specialty finance company preparing for an IPO in 18-24 months. Using Dakota Marketplace, identify senior finance leaders - CFOs and SVPs of Finance - currently at PE-sponsored financial services or specialty finance companies with revenue between $200M and $750M in the Northeast and Mid-Atlantic. Prioritize candidates who have navigated a company through an IPO or significant capital raise, have been in their current role for at least 2 years, and have direct contact information on file. Return a ranked PDF with name, current employer, sponsor, tenure, revenue or AUM context, and direct contact details.

I'm leading a CCO search for a $4B registered investment adviser expanding its private markets platform. The firm is adding a new private credit fund and needs a CCO with deep SEC RIA experience and working knowledge of illiquid asset compliance. Using Dakota Marketplace, find all Chief Compliance Officers, Heads of Compliance, and Deputy CCOs currently at registered investment advisers with AUM between $1B and $15B in the Northeast and Mid-Atlantic that manage both liquid and alternative strategies. Include name, current firm, AUM, years in role, and direct contact info. Flag individuals at firms that recently launched a new private fund or navigated an SEC examination — those have the exact compliance complexity my client faces. Return a ranked PDF of the top 20 candidates.

I'm leading a confidential executive search for a Head of ESG & Impact Investing role at a $20B multi-strategy alternative asset manager. The firm wants a candidate with 10+ years in private markets, deep expertise in ESG integration and impact measurement, and experience at a GP with at least $5B AUM. Using Dakota Marketplace, identify investment professionals currently in ESG, sustainability, impact investing, or responsible investing roles at private equity, private credit, infrastructure, or real assets firms in the United States and Europe with firm AUM over $3B. Include their current firm, title, firm AUM, strategy focus, and any available direct contact information. Flag individuals at firms that have launched an ESG or impact-focused fund in the last 3 years as highest priority. Return a ranked PDF of the top 30 candidates for initial outreach.

From Dakota Marketplace, pull all CFOs and VP Finance / Finance Directors currently employed at PE-sponsored industrial distribution or industrial services companies with estimated revenues between $50M and $500M. I am conducting a retained CFO search and need to build a candidate longlist. For each contact, return: full name, current company, title, years in current role, prior employer(s), educational background where available, and email or LinkedIn contact information. Flag any executives who have been in their current role for more than 4 years or whose company completed a transaction in the past 12 months.

I run an executive search firm specializing in private equity. A $6B growth equity fund has retained me to find candidates for a newly created Head of Portfolio Operations role — someone who will work directly with portfolio company C-suites on operational improvements, revenue acceleration, and M&A integration. Using Dakota Marketplace, identify individuals currently in portfolio operations, operating partner, or value creation roles at PE and growth equity firms with AUM between $2B and $15B. Return their full name, current firm, title, AUM of their firm, city, and any professional contact information available. Flag anyone who has changed firms in the last 12 months or whose firm has recently closed a new fund (indicating potential role displacement or opening).

Using Dakota Marketplace, find senior operations leaders at investment management firms who fit this profile: (1) current title includes COO, Chief Operating Officer, Head of Operations, or Managing Director of Operations, (2) firm AUM between $1B and $20B, (3) firm is a hedge fund, private equity firm, or registered investment advisor, (4) individual has been in their current role for 4 or more years (potential openness to move). For each contact, return: full name, current title, firm name, firm AUM, firm strategy, direct email, LinkedIn URL if available, years in current role, and prior firm. Also flag any contacts whose firm has recently had a leadership change at the CEO or CIO level, as COO departures often follow within 12-18 months of a top-level transition.

Using Dakota Marketplace portfolio company and career history data, identify individuals currently serving as CFO at PE-backed healthcare or healthcare IT companies with revenues between $50M and $300M in the United States. For each person, show their full name, current company, PE sponsor, years in current role, educational background, and prior employer. Flag candidates who have been in their current role for 5 or more years — suggesting potential openness to transition — and those who previously served at Big Four accounting firms or bulge bracket investment banks. Export as a formatted candidate map I can bring to an initial client kickoff meeting.

Using Dakota Marketplace's contact and career history data, identify professionals currently in Head of Investor Relations, Director of IR, or VP of Capital Formation roles at hedge funds or alternative asset managers with $500M–5B in AUM. Filter for candidates who have: (1) been in their current role for 3+ years, suggesting proven capability and potential openness to a new opportunity; (2) prior experience at a larger institution such as a top-25 hedge fund, major prime broker, or bulge bracket bank; and (3) a track record spanning both domestic and international LP development. For each candidate, provide: name, current employer, title, approximate tenure in current role, educational background, direct contact info if available, and any notable LP relationships in their career history. I'm building a slate for a $2B hedge fund client who is formalizing their IR function for the first time.

I'm leading a retained search for a Head of Business Development at a $3B mid-market PE firm focused on industrials and business services. The firm is raising Fund V and needs a senior BD hire with 10+ years in institutional fundraising or LP relations - ideally someone who has worked in-house at a GP rather than at a placement agent. Using Dakota Marketplace's contact and career history data, identify individuals currently in Head of Business Development, VP of Investor Relations, Director of Fundraising, or Managing Director of Capital Formation roles at PE firms with AUM between $1B and $10B focused on industrials, business services, or generalist mid-market strategies. Filter for individuals who have been in their current role for at least 3 years but no more than 8 years - suggesting proven tenure and potential openness to a move. Flag contacts who previously worked at a larger platform and moved to a smaller firm - those are often most receptive. For each candidate, include: name, current title, current firm, firm AUM, years in role, prior firm, direct email if available, and geography. Return a ranked candidate longlist PDF of the top 25 names I can bring to the kickoff meeting with my client.

I'm running a CFO search for a PE-backed healthcare services company with $180M in revenue. Using Dakota Marketplace, search for executives with CFO or VP Finance titles at PE-backed healthcare or business services companies in the $100M-$500M revenue range. For each candidate, show their current company, title, company revenue or AUM if available, the PE sponsor backing the company, and their professional contact information. Also flag any executives who have recently completed a successful exit or have been at their current company for 3 or more years — a signal they may be open to a new opportunity. Return a ranked list of 30 candidates with full contact details I can use to begin outreach.

Using Dakota Marketplace career history data, I am conducting a retained search for a Head of Investor Relations at a $3B credit-focused alternative asset manager. Map the career trajectories of current IR professionals at credit-focused managers (direct lending, CLOs, distressed, special situations) with $1B–$10B AUM. For each candidate, show: current employer and title, previous firms and tenure at each, total years in IR roles, and whether they have moved roles in the last 18 months. Additionally, flag any individuals whose career history includes time at firms that are current LPs in my client's existing funds — these represent warm introduction paths. Finally, identify any alumni connections between candidate pool members and my client firm's current leadership team based on shared prior employers, and highlight those candidates as highest-priority outreach targets.

I'm leading a retained search for a General Counsel / Chief Compliance Officer at a $4B private credit fund. Using Dakota Marketplace's contact and career history data, identify individuals currently holding General Counsel, Chief Compliance Officer, or Deputy CCO titles at private credit, direct lending, or CLO managers with $2B to $10B in AUM. Filter for candidates who have been in their current role for at least 5 years but no more than 12, suggesting proven tenure with potential openness to a new opportunity. For each candidate, include name, current title, current firm, firm AUM, years in role, prior firm and title, and direct email if available. Flag candidates whose prior firm was a larger platform, since moves to smaller or mid-sized managers often signal a preference for broader mandate scope. Return a ranked candidate longlist PDF of the top 25 names I can bring to my client kickoff meeting.

Using Dakota Marketplace, map the current IR and distribution talent across mid-market PE firms actively fundraising for Fund IV or V. For each firm, identify Head of IR, VP of Investor Relations, and distribution professionals, including career history, prior employers, and tenure. Flag firms where the IR role has been vacant or newly filled in the last 12 months as high-priority search targets.

Surface endowments and foundations where a CIO or Head of Investments transition has occurred in the past 12 months. For each, provide AUM, the new leader's name, prior firm, effective date, PE and private credit allocation percentages, and Dakota-verified contact information. Prioritize by AUM.

We're running a search for two independent trustee seats on the board of a $12B state public retirement system. Using Dakota Marketplace, identify individuals with current or prior investment committee, board, or CIO-level experience at public pensions, endowments, or foundations with at least $5B in AUM, who are not already serving as a trustee at this fund. For each candidate, show their current role and employer, a summary of relevant governance experience, and flag any potential conflict of interest if their employer is an active manager in this fund's portfolio. Return a ranked candidate slate I can bring to the search committee.

I'm retained to find a Chief Compliance Officer for a $4B multi-strategy RIA that recently expanded into private funds. Using Dakota Marketplace's Form ADV and career history data, identify current CCOs and Deputy CCOs at other SEC-registered advisers with $2B-$8B in AUM that also manage private funds. For each candidate, show current firm, title, tenure in role, total years in compliance roles, firm AUM and number of private funds managed, and any prior firms in their career history. Flag candidates who have been in their current role for three or more years and previously worked at a larger platform before moving to a smaller adviser, since that transition pattern signals openness to new challenges. Return a ranked longlist of the top candidates as a PDF for my client intro call.

I'm retained to find a Head of Distribution for a $6B multi-strategy hedge fund that needs to diversify beyond its current institutional base into RIAs and family offices. Using Dakota Marketplace's career history and contact data, identify sales and distribution leaders at competing multi-strategy or macro hedge funds who have documented relationships spanning at least three allocator channels, such as public pension, RIA, and family office. For each candidate, show current firm and title, years in current role, firm AUM, the channels they are known to cover based on Dakota contact and relationship data, and any prior firms. Flag candidates who have been in their current seat for three to six years, the sweet spot for a move. Return a ranked longlist of 25 candidates as a PDF I can present at the client kickoff.

I'm leading a retained search for a Chief Data Officer at a $15B AUM RIA aggregator that's building out its data infrastructure ahead of an acquisition-driven growth phase. Using Dakota Marketplace's contact and career history data, identify individuals currently in Head of Data, Chief Data Officer, or VP of Data & Analytics roles at RIA aggregators, wealthtech platforms, or asset managers with $5B-$30B in AUM. Filter for candidates who have been in their current role for 3-7 years and have prior experience at a firm that went through an M&A integration. For each candidate, include name, current title and firm, firm AUM, years in role, prior firm, and direct email if available. Return a ranked candidate longlist PDF of the top 20 names I can bring to the client kickoff.

I'm running a retained search for a Head of Impact Investing at a $5B university endowment. Using Dakota Marketplace, map ESG, impact, and responsible-investment leaders currently in similar roles at endowments and foundations between $2B and $15B in AUM. For each candidate, show current title, employer AUM, tenure in role, and prior employer, and rank the list by likelihood of being open to a move.

I'm running a confidential retained search for a Chief Investment Officer at a $7B state retirement system. Using Dakota Marketplace's pension plan and career history data, identify current CIOs and Deputy CIOs at public pension funds with $2B to $15B in AUM who have been in their current role for at least 4 years but no more than 12 - long enough to have a proven track record but with some tenure that suggests openness to a larger platform. For each candidate, include name, current title and institution, institution AUM, years in current role, prior institution and role if available, and any recent board or committee involvement noted in plan minutes. Flag candidates who have public statements or plan minutes referencing frustration with staffing, budget, or board dynamics. Return a ranked candidate longlist of the top 20 names as a PDF I can bring to my client intro meeting.

I'm leading a retained search for a $6B endowment whose Chief Investment Officer is expected to retire within the next 12 months. Using Dakota Marketplace's career history and contact data, identify Deputy CIOs, Directors of Investments, and Heads of Alternatives at peer endowments and foundations with $2B or more in AUM who have been in their current role for 5 or more years — long enough to demonstrate proven leadership but still early enough in their career to make a lateral move to a CIO seat attractive. For each candidate, show name, current title and institution, tenure in role, prior employers, asset class specialization, and any known board or committee affiliations. Flag candidates who have previously worked at institutions of comparable size or complexity to my client. Return a ranked candidate longlist as a PDF I can present at our search kickoff meeting.

I'm leading a retained search for a Chief Compliance Officer at a $12B RIA aggregator. Using Dakota Marketplace's contact and career history data, identify individuals currently serving as CCO, Deputy CCO, or Head of Compliance at RIA aggregators or wealth management platforms with AUM between $5B and $20B. Filter for candidates who have been in their current role for at least 3 years but no more than 7 years, and flag anyone who has overseen a prior SEC exam or platform integration. For each candidate, include name, current title, current firm, firm AUM, years in role, prior firm, and direct contact info if available. Return a ranked candidate longlist PDF of the top 20 names I can bring to my client intro call.

I'm retained to find a Chief Operating Officer for a $2.5B private credit manager that's targeting $10B within three years and needs someone who has done this before. Using Dakota Marketplace's career history and firm AUM data, identify COOs and Heads of Operations at asset managers who were in seat while the firm grew from roughly $2B-$4B to $8B-$12B in AUM within a five-year window. For each candidate, show current firm, title, tenure in role, the firm's AUM trajectory over their tenure if available, and any prior firms. Flag candidates who have been in their current seat for four or more years as more likely to consider a move. Return a ranked longlist with a brief rationale for each candidate's fit.

I'm retained to find a Head of Private Credit for a $12B multi-strategy asset manager launching its first direct lending strategy. Using Dakota Marketplace's career history and firm data, identify current senior private credit professionals at Managing Director level or above at direct lending funds or BDCs with $3B-$15B in AUM who have been in their current role for four or more years. For each candidate, show current firm and title, tenure, prior firms, and credit AUM managed. Flag candidates who have changed firms more than once in the last eight years as elevated retention risk. Return a ranked longlist of 10 candidates as a PDF for my search committee kickoff.

I'm retained to find an Operating Partner for a $2B middle-market PE firm's portfolio operations group. Using Dakota Marketplace's career history and contact data, identify current or former C-suite executives (CEO, COO, or President) who have led PE-backed or sponsor-owned portfolio companies with $50M-$500M in revenue, and who have been in their current seat for three or more years or have recently departed a portfolio company post-exit. For each candidate, show current role and employer, years of relevant PE-backed operating experience, sector focus, and any board or advisory roles on record. Return a ranked longlist of the top 20 candidates as a PDF I can present at the client intro call.

I'm building an independent board slate for a PE-backed specialty insurance portfolio company. Using Dakota Marketplace's career history and education data, identify senior insurance executives (CEO, CFO, Chief Actuary, or Chief Investment Officer level) with 15+ years of experience, prior public or PE-backed board service, and general account or investment committee oversight experience. Show current firm and title, career history, board experience, and education. Return a ranked longlist of 20 candidates as a PDF I can present to the sponsor's operating partner for this search.

I'm running a confidential CIO search for a $15B public pension fund. Using Dakota Marketplace, identify deputy CIOs, senior portfolio directors, and heads of asset classes at peer public pension funds with $8B-$40B in AUM who have at least 5 years of tenure in their current seat. For each candidate, show their institution, title, tenure, career history, and education background. Return a confidential candidate slate as a PDF, organized by likely readiness to make a lateral move based on tenure and career trajectory.

Search Dakota Marketplace for Heads of Investor Relations and CFOs at sponsor-backed asset management and specialty finance companies with $1-10 billion in AUM. Include career history, how long they've been in their current role, prior firms, and education. Flag anyone who has been in their current seat over 4 years or moved roles internally without a title change as a signal of readiness for a new opportunity.

Using Dakota Marketplace's contact and career history data, pull all Head of Investor Relations / Head of Fundraising contacts at private equity and private credit firms with $1B+ AUM who have held their current title for 7+ years. For each, include career history, undergraduate/MBA education and alumni network, current firm's AUM and fund count, and any recent leadership changes at peer firms in the same strategy. Rank by succession risk and flag 10 candidates whose profile suggests they may be receptive to a lateral opportunity, along with 3 comparable firms currently searching for similar talent.

I'm leading a confidential CIO search for a $9B insurance company general account that needs a successor with both fixed income and private credit/structured credit experience. Using Dakota Marketplace, identify current CIOs, Deputy CIOs, and Heads of Investments at insurance general accounts with $3B-$20B in invested assets who have been in their current role for 5+ years. For each candidate, show name, current firm, invested assets, years in role, prior firm, asset class expertise (fixed income, structured credit, private placements), and any direct contact information available. Flag candidates whose current firm has had a recent rating action or ownership change, since that often accelerates executive turnover. Return a ranked candidate longlist as a PDF I can bring to my client kickoff meeting.

I'm leading a confidential search for a Chief Data & Analytics Officer at a $6B multi-strategy hedge fund building out a systematic overlay. Using Dakota Marketplace's contact and career history data, identify individuals currently holding Head of Data, Chief Data Officer, or Chief Analytics Officer titles at hedge funds or systematic/quant managers with $2B-$20B in AUM who have 5 or more years of combined tenure in data leadership roles. For each candidate, include current firm, title, years in role, prior firm, educational background, and direct contact information if available. Flag candidates whose current firm recently had a CIO or CTO change, since data leadership often turns over within 12 months of a top-level technology transition. Return a ranked candidate longlist PDF for my client kickoff meeting.

We've been retained to fill an independent board seat on the audit committee of a $12B alternative asset manager. Using Dakota Marketplace, build a candidate slate of current or recently retired CIOs, Deputy CIOs, and senior investment committee members from public pension plans and endowments with $2B+ AUM, prioritizing candidates with prior audit committee or public company board experience noted in their career history. For each candidate, include current title and employer, tenure, prior institutions, and any board affiliations on file. Deliver a slate of 15-20 candidates ranked by governance experience and sector fit, with contact details for our outreach team.

In Dakota Marketplace, identify investment firms with over $5B in AUM that maintain a dedicated Head of Consultant Relations or Director of Consultant Relations role. Pull each individual's tenure at their current firm, prior employers, and career history, along with the firm's primary strategies and consultant coverage footprint. Build a confidential candidate slate of 10 professionals with 5+ years of consultant relations experience and a track record covering the major investment consultants, ranked by relevant tenure and strategy overlap with our client's product lineup.

I'm retained to build a succession bench for a $12B insurance general account whose CIO is nearing retirement. Using Dakota Marketplace, identify CIOs, Deputy CIOs, and Chief Actuaries at insurance general accounts with AUM between $5B and $25B who have been in their current seat for 7 or more years, a signal they may be open to a new mandate. For each candidate, show institution name, AUM, title, tenure in current role, prior firms, and contact details. Return a ranked longlist of 20 candidates as a PDF I can present at the client kickoff.

I'm retained to fill a newly created Head of ESG and Impact Investing role at a $40B public pension fund. Using Dakota Marketplace's contact and career history data, identify current ESG, sustainability, or impact investing leaders at public pensions, endowments, and foundations with AUM over $10B who have held their role for at least 3 years, signaling proven tenure but potential openness to a larger platform. For each candidate, show current institution, title, tenure, and any known reporting line or team size if noted. Flag candidates who have publicly spoken at industry events referenced in Dakota's notes. Return a ranked longlist of 20 candidates as a PDF for my client intro call.

I'm retained to fill a confidential CIO search for a $4B multi-family office platform that wants a CIO with direct experience overseeing alternatives-heavy portfolios. Using Dakota Marketplace's contact and career history data, identify current and former CIOs and Heads of Investments at single-family offices and multi-family offices with AUM between $1B and $8B who have documented experience allocating to private equity, private credit, and hedge funds across at least three fund cycles. For each candidate, show current firm and title, tenure in role, AUM overseen, allocation focus areas, and any recent firm transition or leadership change signal noted in Dakota. Flag candidates who have been in their current seat for 5+ years as prime move candidates. Return a ranked longlist of 20 candidates as a PDF I can present at the client kickoff.

We've been retained to fill a CIO opening at a $12B state pension system. Using Dakota Marketplace, build a candidate map of Deputy CIOs, Directors of Manager Research, and Senior Portfolio Managers currently at U.S. public pension plans with $5B-$20B in AUM who have been in their current role for 4+ years. For each candidate, show current employer, plan AUM, asset classes overseen, tenure in current role, prior employers, and contact info where available. Exclude anyone at plans smaller than $3B or larger than $30B. Rank by tenure and scope of responsibility, and return a confidential PDF candidate longlist of 20 names for the search committee.

Using Dakota Marketplace's contact and career history data, identify current Heads of Client Service, Relationship Management, or Client Experience at OCIO platforms and multi-family offices managing between $5B and $30B in discretionary AUM. For each candidate, show current firm, AUM overseen, tenure in role, prior firms, and contact info where available. Exclude anyone who has been in their current seat for less than 2 years. Rank by tenure and scope of client book managed, and return a confidential PDF candidate slate of 15 names for our client's newly created Head of Client Experience search.

I'm retained to fill a Chief Marketing Officer role for a $12B multi-asset manager expanding its RIA and family office channel. Using Dakota Marketplace's career history and contact data, identify current Heads of Marketing, Distribution, or Communications at competing multi-asset or alternatives managers with $5B-$25B in AUM who have been in their current seat for 3-5 years. For each candidate, show current firm and title, years in role, firm AUM and AUM growth during their tenure, and any prior firms. Flag candidates who have overseen a rebrand or channel expansion based on Dakota's notes. Return a ranked longlist of 20 candidates as a PDF I can present at the client kickoff.

My client is a sponsor-backed industrial services platform targeting a sale process in about 18 months, and they want a CFO who has already been through a full exit rather than a first-timer learning on the mandate. Using Dakota Marketplace, build me a confidential longlist of sitting and recently transitioned CFOs and senior finance leaders at sponsor-backed portfolio companies in industrials and business services. For each candidate, give me name, current title, current company, the owning sponsor, the number of completed sponsor-backed exits in their career history, tenure in the current seat, and prior company history. Then estimate availability using tenure and typical equity vesting timelines, and flag anyone whose vest has likely completed, since that is the strongest availability signal in this market. Separately, list every candidate whose current sponsor could create an off-limits conflict for my client so I can clear it in writing before the first call. Finally, include one or two credible step-up candidates sitting a level below CFO who already have exit experience on the finance side.

Using Dakota Marketplace, build me a candidate longlist for a Head of Alternative Investments role at a $95B AUM U.S. private bank that is standing up an evergreen semi-liquid alternatives platform for high net worth clients. Source candidates from private banks and trust companies, national and regional RIA aggregators, wirehouse and independent broker-dealer investment solutions groups, multi-family offices, and the alternatives distribution and product teams of asset managers who build for the wealth channel. For each candidate give me name, current firm, exact current title, firm type, platform or program AUM they oversee, years of alternatives experience, full career history with firms and dates, whether they have built a platform from scratch versus inherited one, experience with interval funds, tender offer funds, non-traded BDCs and REITs, and evergreen private equity or credit vehicles, manager due diligence versus product structuring versus distribution orientation, education, and location. Include email and direct phone where available. Then segment the list into ready-now platform heads, strong number-twos ready for a step up, and product or structuring specialists, and flag anyone whose firm has recently had leadership turnover, a platform restructuring, or an ownership change that would make them more receptive to a conversation.

Using Dakota Marketplace, build me a confidential CTO and Head of Data & AI candidate longlist. Search investment firms and institutional allocators with $10B+ in AUM or plan assets and identify current and recent technology leaders - CTO, CIO of technology, Chief Data Officer, Head of Data & AI, Head of Investment Technology. For each candidate return: current title and firm, firm AUM and asset class mix, time in current seat and total tenure at the firm, prior firms and roles from career history, whether they led a documented data-platform or investment-book-of-record modernization, whether they report to the CEO/COO or sit under a CIO, team size where available, and direct contact details. Flag anyone whose firm has had a recent CEO or COO change, been acquired, or announced a technology outsourcing decision, since those are the movable candidates. Group the list into ready-now, needs-cultivation, and long-shot.

Using Dakota Marketplace, build me a confidential candidate longlist of 12 private wealth distribution leaders for a Head of Private Wealth role at a $14B private markets manager launching its first evergreen/interval vehicle into the RIA, independent broker-dealer, and wirehouse channels. Target candidates currently holding titles such as Head of Private Wealth, Head of US Wealth Distribution, National Sales Manager, or Head of RIA Channel at alternative asset managers, and secondarily at wealth platforms and private banks. For each candidate return: name, current title, current firm and firm AUM, city, years in role and total tenure at firm, prior two employers, which wealth channels they have demonstrably built (RIA, independent broker-dealer, wirehouse, bank trust, family office), evidence of platform wins or product launches, and a fit rating of Strong, Moderate, or Developmental with a one-line rationale. Flag anyone whose firm has had recent senior departures, a strategy change, or an ownership change that increases the chance they take a call. Then rank the top six and tell me the most credible outreach hook for each.

Using Dakota Marketplace career history and sponsor-backed portfolio company data, build a bench of interim CFO and COO candidates I can present to a client inside 72 hours. Identify executives whose most recent portfolio company role concluded within the last 18 months following a sale, recapitalization, withdrawn IPO or ownership change, plus any executive whose history shows two or more consecutive interim engagements for private equity sponsors. For each candidate return name, most recent title and company, the sponsor that owned it, the transaction event with date, sector depth, years of experience, and contact details. Separate the CFO bench from the COO bench, since operations placements do not travel across sectors as cleanly. Flag anyone out of seat for more than 18 months with no interim or advisory engagement in the interval, and identify the sponsor deal partner who supervised each candidate so I can run informal references.

Using Dakota Marketplace, map the sitting CFOs across sponsor-backed healthcare services platforms in the US. For each executive return current company, sponsor, exact title, time in seat, full career history including how many prior sponsor-backed roles they have completed, sub-sector, and contact detail. Flag anyone who has been in seat more than three years with two or more completed sponsor cycles, and separately flag anyone seated less than 18 months as unavailable. Then group the sponsors by how many healthcare platforms they hold so I can see which sponsor relationships would open the most portfolio-wide talent conversations.

Using Dakota Marketplace, help me build an independent board director slate. I lead the Board & CEO practice at an executive search firm and my client is a private equity sponsor that just closed on a $600M-enterprise-value specialty industrial manufacturing platform with an aggressive buy-and-build plan. They need three independents: an audit committee chair, an operating chair or industry veteran, and a director with M&A integration depth. Search Dakota's sponsor-backed portfolio company universe for current and former CEOs, Presidents, COOs, and CFOs of industrial manufacturing and specialty products companies in the $200M to $1.5B revenue band that were PE-backed through a completed ownership cycle. For each candidate give me name, current role and company, prior sponsor-backed roles with the sponsor name and approximate hold period, whether the company was sold or IPO'd, the number of add-on acquisitions completed under their tenure, existing public or private board seats, geography, and contact details. Separately identify former sponsor-backed CFOs with public-company or audit committee experience for the audit chair seat. Organize into three slates mapped to the three seats, flag anyone with a conflict from a competing sponsor's portfolio or who is unavailable in a live hold, and note which candidates have prior working history with my client's sponsor.

Using Dakota Marketplace, build me a confidential candidate slate for a Head of Investor Relations & Capital Formation role at a $3B private credit manager based in New York. Source candidates from IR and capital formation leaders at investment firms that held a final close on a fund within the last 12 months, since that is when senior IR talent most often becomes available. Screen for people currently holding Head of IR, Managing Director of IR, Head of Capital Formation, or Head of Distribution titles at firms between $1B and $15B in AUM with private credit, direct lending, or multi-strategy credit experience. For each candidate return: name, current title, current firm and firm AUM, location, tenure in role, prior firms and roles, strategies raised and approximate capital raised, LP channels covered (institutional, consultant, private wealth, international), email and LinkedIn, and any prior contact history our firm has with them. Flag anyone in seat under 24 months as a likely pass, and anyone whose firm just closed a fund and is between raises as a priority approach. Then group the slate into A, B and C tiers with a one-line rationale for each.

Using Dakota Marketplace, build me a confidential candidate longlist for a Chief Compliance Officer / Head of Risk search at a $14B private credit manager that is scaling from a founder-led operating model into an institutional platform serving insurance general accounts. Target candidates currently sitting in CCO, Deputy CCO, General Counsel & CCO, or Head of Risk seats at private credit, direct lending, specialty finance, and BDC managers with $5B-$40B in AUM, plus senior compliance and risk leaders inside insurance asset management arms. For each candidate, give me: current title and firm, firm AUM and strategy mix, estimated tenure in seat and prior roles, whether their current platform runs registered vehicles (BDC, interval fund, 40 Act) and therefore whether they have the registered-product regulatory scope we need, insurance or NAIC-related experience, education and credentials, and direct contact information. Flag candidates whose current firm has recently been acquired, has had a leadership change at the GC or CFO level, has had a recent SEC examination or enforcement event, or has slowed fundraising, since those are the strongest availability signals. Organize the output into three tiers: Tier 1 direct-fit candidates who could step in immediately, Tier 2 candidates ready for a first CCO seat, and Tier 3 sources and referrers who will not move but can open doors. For each Tier 1 name, add a one-line read on likely motivation to move.

I'm retained to find a General Counsel for a $12B private credit manager preparing for a minority GP-stake sale. Using Dakota Marketplace's firm and contact data, identify General Counsel and Deputy General Counsel candidates currently at private credit or direct lending managers with $5B-$20B in AUM who have been in their current seat for 3+ years. For each candidate, show me: current firm and title, firm AUM and strategy focus, years in current role, prior firm and role history, and any public record of fund formation, GP-stake, or SEC exam experience associated with their tenure. Flag candidates who joined their current firm during a similar ownership transition, since that's a strong signal of relevant experience. Return a ranked longlist of 20 with a two-sentence rationale per candidate for why they fit this specific mandate.

I'm building a passive candidate bench ahead of anticipated CIO openings at public pension funds. Using Dakota Marketplace, map the current Heads of Manager Research, Deputy CIOs, and Directors of Private Markets at U.S. public pension funds with AUM over $10B, and flag anyone who has held their current role for 5+ years without a promotion, which often signals openness to a move. For each candidate, include their institution, current title, tenure in role, prior institution and role history, and any public plan minutes mentioning them by name. Rank by likely candidacy strength and return a confidential bench-building memo I can share with my search team.

I'm running a confidential retained search for a CFO at a $3B multi-strategy asset manager. Using Dakota Marketplace, identify CFOs and Deputy CFOs currently at asset managers with $1.5B-$6B in AUM who have held their current role for 3 to 5 years, since that tenure band historically signals readiness for a next step. For each candidate, show me: current firm and AUM, title and tenure in current role, prior firm and role history, and any recent leadership or ownership changes at their current firm that might accelerate their openness to a conversation. Flag any candidate whose firm has had a recent M&A event, CEO transition, or AUM decline, since that raises urgency. Return a ranked longlist of 20 candidates as a PDF I can present at the client kickoff, sorted by tenure fit and firm-level disruption signal.

I'm recruiting an independent investment committee director for a $2B foundation client. Using Dakota Marketplace, identify sitting CIOs, Deputy CIOs, and senior investment committee members at peer endowments and foundations with $1B-$5B in AUM who have been in their current role for 5+ years, signaling stability and available bandwidth for an outside board seat. Show their institution, title, tenure, and any public board or advisory roles already logged. Exclude candidates already flagged in our active search pipeline. Return a confidential candidate longlist as a PDF I can share with the search committee.

I'm a Managing Director running a confidential search for a Regional Director role at a national RIA aggregator. Using Dakota Marketplace, identify current regional directors, market leaders, or senior relationship managers at RIAs with $2B or more in AUM who have been in their current seat for five or more years with no recorded promotion. For each candidate, show their firm, title, tenure in role, firm AUM, and direct contact information, and flag any firm that has had recent leadership turnover in the last 90 days as a signal of instability. Return a ranked longlist of 20 candidates as a PDF I can present at the client kickoff.

I'm retained to find a Chief Data Officer for a $9B multi-strategy asset manager building out its AI and analytics function. Using Dakota Marketplace, identify similarly-sized asset managers ($5B-$20B AUM) across private equity, private credit, and hedge fund strategies, and source current or recently departed Heads of Data, Analytics, or Technology at those firms. For each candidate, show their firm, title, tenure in current role, and any recent leadership or restructuring signal suggesting openness to a move. Flag candidates who have publicly discussed data infrastructure or AI initiatives. Return a confidential candidate slate of 12 names with firm background and a one-line fit rationale I can present at the client kickoff.

In Dakota Marketplace, filter investment firms tagged as diverse-owned or emerging manager with AUM between $200M-$3B across equity and credit strategies. Pull the current Portfolio Manager or Co-PM contacts at each firm, including tenure at the firm, prior firm history, and strategy focus. Cross-reference against firms that have NOT had a position change flagged in the last 12 months (indicating stability/retention candidates worth approaching only with a strong opportunity). Output a ranked longlist of 20 candidates with firm name, title, tenure, and strategy for a confidential portfolio manager search at a $4B multi-strategy asset manager.

We've been retained to fill a Chief Marketing & Distribution Officer role for a $6B multi-strategy alternative asset manager. Using Dakota Marketplace, identify current heads of marketing, distribution, or brand at investment firms with $3B-$15B in AUM that have grown AUM by 25%+ over the past two years. For each candidate, show current firm, title, tenure in current seat, prior firm and title, and any recent public-facing content or presentations logged in Dakota that demonstrate thought leadership. Flag candidates who've been in their current seat 3-5 years as the sweet spot for a move. Return a ranked longlist of 20 candidates as a PDF I can present at the client kickoff.

Search Dakota Marketplace for infrastructure and real assets debt professionals currently in Director or MD roles at insurance general accounts, asset managers, or pension funds with $3B+ in infrastructure debt AUM who have launched or scaled a new infrastructure debt platform in the last five years. Exclude candidates at our client's direct competitors. Build a confidential longlist of 10 candidates with current title, firm, years in infrastructure debt, and platform-building experience, ranked by relevance to standing up a new insurance general account infrastructure debt program.

Build a confidential Chief Compliance Officer candidate slate for a private credit manager that registered with the SEC in the last three years and has grown AUM by more than 50% since registration. Identify compliance and legal leaders currently at peer private credit managers of similar or larger AUM, prioritizing candidates whose firm has itself scaled AUM significantly in the last two years, since they'll have direct experience building compliance infrastructure under growth. Include each candidate's current title, tenure, firm AUM, and any recent public commentary or panel appearances on regulatory topics.

We've been retained to help a $2B single-family office plan CIO succession over the next 18 months. Using Dakota Marketplace, identify family offices with $1B+ in AUM where the current CIO or top investment executive has held their role for 12+ years, or where Dakota's position-change tracking shows a recently hired deputy CIO or head of investments (potential successor) in the last 12 months. For each match, show firm AUM, current CIO tenure, the name and background of any newly hired deputy/successor if identified, and direct contact information. Rank by succession urgency (CIO tenure length) and return a PDF longlist of the top 15 firms for our practice to approach about succession planning advisory.

I'm running a confidential search for a Chief Investment Officer at a $9B insurance company general account. Using Dakota Marketplace, identify senior investment professionals (CIO, Deputy CIO, Head of Fixed Income, or Head of Investments) currently at insurance companies with general account AUM between $5B and $20B. Flag anyone whose title or role has changed in the last 18 months, which may signal openness to a move. For each candidate, show their name, current title and firm, tenure indicators if available, and direct contact information. Build me a longlist of 25 candidates with a one-page PDF summary I can review with my client before we begin outreach.

I'm running a confidential retained search for a Chief Data Officer at a $40B multi-strategy asset manager. Using Dakota Marketplace, identify investment firms and allocators with AUM over $10B that have a dedicated Chief Data Officer, Head of Data Strategy, or Head of AI/Data Science role, and show each incumbent's name, tenure in role, prior firm, and current employer contact details. Flag anyone who has changed roles or firms in the past 12 months as a signal of market movement. Return a candidate mapping PDF organized by firm AUM that I can present to my client at kickoff.

I'm running a retained search for a Head of Insurance Solutions at a $45B alternative credit manager that wants to grow insurance general account AUM from $4B to $15B over five years. Using Dakota Marketplace, identify 12-15 candidates currently in roles such as Head of Insurance Solutions, Head of Insurance Asset Management, Managing Director - Insurance Coverage, or senior insurance-focused client portfolio managers at alternative managers, asset managers with dedicated insurance platforms, or insurance-owned asset managers. For each candidate, show: name, current title, firm, firm's insurance AUM (where disclosed), tenure in current role, total years in insurance-focused roles, prior firms, location, and email/phone where available. Flag candidates who have covered life/annuity carriers and are familiar with NAIC capital treatment, rated note feeders, and SMA structures. Add a Flight Risk / Openness signal (High / Medium / Low) based on tenure, recent firm reorganizations or acquisitions, and any leadership changes above them logged in Dakota. Exclude anyone at our client's three named competitors: Harborview Credit, Stonegate Alternatives, and Lindenwood Capital.

Using Dakota Marketplace's contact and career-history data, build a confidential longlist of 12-15 candidates for a Head of GP-Led Secondaries role at a $7B middle-market private equity firm that plans to run two to three continuation vehicle processes per year. Source candidates from three pools: (1) Principals, Directors, and MDs at dedicated secondaries buyers with GP-led deal experience; (2) VPs and Directors at investment banks and placement agents with secondary advisory practices; and (3) investor relations or capital markets leaders at PE sponsors who have already run a continuation vehicle. For each candidate, return: name, current firm and title, tenure in current role, prior firms, pool, estimated number of GP-led transactions worked on, and email and LinkedIn. Flag candidates whose firm recently had a team departure, reorganization, or fund close, and anyone with 3-6 years of tenure (the window when senior secondaries professionals are most likely to consider a move). Rank by relevance of GP-led experience and likely openness to a move, and exclude anyone at a firm that is currently a secondaries buyer on the client's own portfolio.

Using Dakota Marketplace, I'm running a confidential search for a Director of Real Assets at a $4B university endowment (real estate, infrastructure, and natural resources; roughly 14% of the portfolio). Build a longlist of 12 candidates currently in real assets leadership roles (Director, Managing Director, Senior Investment Director, or Head of Real Assets) at endowments, foundations, OCIOs, and health-system investment offices with $1.5B-$15B in AUM. For each candidate return: name, current title, current institution, institution type and AUM, years in current role, prior institution, the real assets program size or change they oversaw, and a movability signal (High / Moderate / Low) based on tenure, recent CIO changes above them, and title ceiling. Rank by movability, then flag any candidate whose institution recently cut its real assets target - a likely push factor.

Using Dakota Marketplace, build a candidate slate for a Head of Investor Relations, Asia-Pacific at a $14B U.S. middle-market private equity firm opening its first Singapore office. Search investment firms with APAC offices in Singapore, Hong Kong, Tokyo, or Sydney and find professionals with titles such as Head of IR, Director of Investor Relations, Capital Formation, or Client Solutions who cover Asia-Pacific LPs (sovereign wealth funds, Japanese and Korean insurers and pensions, Australian superannuation funds). Prioritize candidates with 10-20 years of experience, current coverage of at least two APAC LP channels, and prior experience at a U.S. or European GP. Return a table with name, current firm and AUM, title, location, years in role, prior employers, LP channels covered, and a mobility signal (tenure length, recent firm change, fund close timing). Include a short assessment of the top five candidates.

I'm running a Chief Human Resources Officer search for a $900M-revenue industrial business being carved out of a Fortune 500 parent by a mid-market PE sponsor. Using Dakota Marketplace's portfolio company contact and career-history data, find current and former CHROs, Chief People Officers, and SVPs of HR at sponsor-backed companies with $300M-$2B in revenue who have led at least one carve-out, TSA exit, or HR function build-out under PE ownership in the last 8 years. For each candidate, return: name, current title and company, sponsor owner, company revenue band, tenure in role, prior carve-out or exit experience, location, and email where available. Flag an Availability Signal (High/Medium/Low) based on whether their current company was recently sold, recapitalized, or is 5+ years into its hold. Exclude anyone at portfolio companies owned by the client's sponsor, and sort by carve-out relevance.

I'm running a confidential Head of Tax search for a $22B multi-strategy alternative asset manager (PE, private credit, real estate) that is launching evergreen and offshore vehicles. Using Dakota Marketplace investment firm contacts, identify 12-15 sitting tax leaders (Head of Tax, Tax Director, VP Tax, or Partner, Tax) at alternative managers with $5B-$60B AUM and at least two asset-class strategies. For each candidate, show current firm, firm AUM and strategies, title, tenure in role, prior employers (flag Big Four or law firm backgrounds), location, and whether their current firm has launched an evergreen, ELTIF, or offshore feeder in the last 24 months. Flag candidates whose firm recently had a CFO change, was acquired or sold a GP stake, or where tenure is 4+ years (a typical move window). Exclude our client's two sister firms and rank by fit.

Using Dakota Marketplace, list the sponsor-backed companies (US, $50M+ revenue where available) that were acquired by a new private equity sponsor in the last 90 days. For each company return: company name, HQ, sector, new sponsor and deal close date, prior owner (founder, family, or prior sponsor), and the current CEO, CFO and CHRO/Head of People with their start dates and prior employers. Flag any role where the incumbent has been in seat 7+ years, was hired under the prior owner, or where the CFO has no prior PE-backed experience in their career history. Also identify the sponsor's operating partner or talent partner responsible for the deal. Score each company Strong / Moderate / Low likelihood of a 100-day leadership change and recommend which search (CFO, CHRO, COO, or board chair) to pitch first, with a one-line rationale.

Using Dakota Marketplace, search sponsor-backed vertical SaaS portfolio companies (construction, healthcare, legal, property management, and financial services software) with $40M-$250M in ARR for current and former Chief Revenue Officers, SVPs of Sales, and Chief Commercial Officers. Filter for executives who have held a revenue leadership role for at least two years at a company that grew under PE or growth-equity ownership and achieved an exit, recap, or add-on integration during their tenure. For each candidate return: name, current title, current company and sponsor, company ARR band, vertical, tenure in role, prior revenue leadership roles, exit or recap during tenure (Y/N), location, and LinkedIn and email. Flag candidates whose sponsor has held the company 4+ years (likely nearing exit, which may make the candidate receptive) as Strong availability, and those within 18 months of a new sponsor entry as Low. Return 12 candidates ranked by fit for a $90M ARR PE-backed construction software company in Denver, and close with the five I should approach first.

Using Dakota Marketplace, find sponsor-backed portfolio companies with $100M-$1B in estimated revenue owned by PE firms that have publicly announced AI or digital value-creation programs or hired an AI/data operating partner in the last two years. For each company, check the C-suite and VP-level contacts and flag those with no Chief AI Officer, Chief Data Officer, Chief Digital Officer, or VP Data & Analytics. Show company, sector, revenue, sponsor and hold year, current CEO and CTO/CIO names, the sponsor's AI operating partner (name and email), and the most comparable placement our practice has done. Rank the top 12 by sponsor AI commitment and company size, and suggest who to pitch first: the sponsor operating partner or the portfolio company CEO.

Using Dakota Marketplace contact and firm data, build a candidate longlist for a Head of Capital Markets role at a $12B upper-middle-market buyout firm. Source from (1) Heads or Directors of Capital Markets at PE firms managing $5B-$40B, (2) MDs in leveraged finance or sponsor finance at middle-market banks, and (3) origination heads at direct lenders and BDCs. For each candidate show name, current title, firm, firm AUM or platform size, years in current role, prior firms, location, and email/LinkedIn. Flag candidates whose firm recently had a leadership change, merger, or fund-size step-down (from Dakota updates and Fundraising News), which signals openness to a move. Exclude anyone at our client's five largest portfolio lenders. Return a ranked list of 12 with a fit score and a one-line rationale per candidate.

Using Dakota Marketplace, build a confidential Chief Investment Officer candidate slate for a $4B single-family office in Dallas that is moving from 20% to 40% private markets over the next five years. Search contacts at endowments, foundations, health systems, and multi-family offices with AUM between $1B and $15B whose titles include Deputy CIO, Managing Director of Private Markets, Director of Private Investments, or Senior Portfolio Manager. Prioritize candidates who have (1) been in their current role 4+ years, (2) built or scaled a private equity, private credit, or real assets program at their institution, and (3) are based in Texas or open to relocation. For each candidate, show name, title, institution, institution type, AUM, location, tenure in role, prior employers from career history, private markets asset classes covered, and email/phone. Add a Mobility signal (Strong, Moderate, Low) based on tenure, recent CIO hires above them, and organizational changes. Return 12-15 names ranked by fit with a one-line pitch angle for each.

Using Dakota Marketplace, find corporate carve-outs acquired by private equity sponsors in North America in the last 15 months with $200M+ in revenue. For each company list: sponsor and deal partner, former parent company, close date, estimated TSA expiration window, headcount, and which C-suite seats are filled vs. vacant or interim (CEO, CFO, CIO/CTO, CHRO, General Counsel). Prioritize companies where the CFO or CIO seat is open or interim and the TSA ends within 9 months. Include the sponsor's operating partner or talent partner contact for each and note whether the sponsor has used retained search on prior carve-outs.

Using Dakota Marketplace, map Chief Information Security Officers, VP/Head of Information Security, and Deputy CISOs at sponsor-backed portfolio companies in healthcare IT, revenue-cycle management, payments, and fintech with $150M-$1.5B in revenue. Return: executive name, current title, company, sponsor and fund that owns the company, year of sponsor entry, time in role, prior employers from their career history, and whether the company has exited or announced a sale in the last 12 months (a signal the executive may be open to a move). Prioritize executives who have led a security program through a sponsor exit, a SOC 2/HITRUST certification, or a PCI audit, and flag anyone with Big Four or federal cyber experience. Group the output into a ready-now slate and a stretch slate of deputy-level leaders for a first-time CISO role at a $400M PE-backed healthcare payments company, and include email and LinkedIn URL for each.

My client, a $9B single-family office, is hiring a Director of Private Markets. Using Dakota Marketplace, find endowments, foundations, health-system investment offices, and corporate pensions that have hired an OCIO or moved to an outsourced model in the last 18 months. For each, identify the in-house investment staff (Director, Senior Investment Officer, or Deputy CIO level) who covered private equity, venture, or private credit at the time of the transition. Show: candidate name, current title, institution, institution AUM, years in seat, private markets coverage, whether their role appears to have been eliminated or reduced after the transition, and contact details. Rank the top 12 by relevance to a direct-plus-fund private markets mandate and flag anyone who has already moved to a new firm.

Using Dakota Marketplace, build a candidate longlist for a Head of Operational Due Diligence role at a $60B public pension that is moving ODD in-house from its consultant. Search allocator, investment consultant, OCIO, and fund-of-funds contacts for current or former titles containing Operational Due Diligence, ODD, Investment Operations Risk, or Manager Risk, at the Director level or above. Prioritize candidates who have built or scaled an ODD function at an organization with $20B+ in AUM or 150+ external managers, and who have covered private markets as well as hedge funds. For each candidate, return: name, current title, current firm and firm type, firm AUM, years in current role, prior ODD employers, approximate number of external managers covered, location, and a Fit signal (Strong / Moderate / Weak). Rank the top 12 and flag any candidates at firms that are consolidating or have recently lost their CIO, since they may be more open to a move.

Using Dakota Marketplace, build a candidate slate for a Head of Secondaries at a $25B multi-strategy alternatives manager launching its first dedicated GP-led secondaries fund ($1-1.5B target). Search investment firms with dedicated secondaries strategies, fund-of-funds with secondaries sleeves, and large pension or endowment secondaries teams. Find Managing Directors, Partners, Principals, and Heads of Secondaries with 10+ years of experience who have led continuation vehicle transactions as lead or co-lead investor. For each candidate, return: name, current title and firm, tenure, prior firms, GP-led vs. LP-led specialization, approximate deal count and transaction volume led, location, and LinkedIn URL. Flag mobility signals: recent firm acquisition or merger, carry vesting milestones, a fund that has finished its investment period, senior leadership departures above them, or a title that hasn't changed in 4+ years. Exclude anyone at our client's three named competitors. Rank the top 10 by fit and likely openness to a move, and draft a two-sentence outreach hook for each of the top 5.

Using Dakota Marketplace, identify senior wealth-channel distribution leaders (titles like Head of Private Wealth, Head of Intermediary Distribution, Head of Wealth Solutions, or National Sales Manager) at alternatives managers that launched or scaled an interval fund, tender-offer fund, non-traded BDC, or other evergreen vehicle between 2021 and 2025. For each candidate, give me: name, current title, firm, firm AUM, vehicle(s) they distributed and approximate capital raised, years in seat, prior firms, and LinkedIn URL. Also note which wirehouse, RIA platform, and private bank shelves each firm's vehicle is on. Rank the slate in a table with a Candidate Signal column (Strong / Possible / Stretch) based on evergreen launch experience, platform breadth, and tenure, flagging anyone under 2 years in seat or recently promoted as harder to move. End with notes on the 3 strongest candidates and any compensation or non-solicit considerations.

We've been retained to find a Chief Investment Officer for a $7B nonprofit health system in the Midwest that manages three pools: $4.5B of operating reserves and long-term investments, a $1.9B frozen defined-benefit pension on an LDI glidepath, and a $600M foundation. Using Dakota Marketplace, map 12-15 candidates who are currently Deputy CIO, Managing Director, or Senior Director at health-system or hospital investment offices, academic medical center endowments, or OCIOs with health-care clients. For each, show: name, current title and organization, organization AUM, years in role, prior employers, which pools they oversee (operating, pension, foundation), experience with liquidity tiering / days-cash-on-hand constraints and pension LDI, and contact info. Flag candidates in seat 4+ years without promotion (likely movable) and anyone at an organization going through a merger or OCIO transition. Rank by fit.

I have a Chief Risk Officer search for a $25B state public pension that is moving to a total-portfolio approach. Using Dakota Marketplace, identify current and former Chief Risk Officers, Heads of Risk and Analytics, and Deputy CIOs focused on risk at public pensions, sovereign wealth funds, and large endowments with $10B-$100B in AUM. For each candidate, show current title and institution, AUM, tenure in role, prior institutions, whether their current fund uses a TPA or reference-portfolio framework, and any recent leadership change above them that might make them movable. Prioritize candidates with public-sector governance experience, flag anyone within two years of a likely CIO promotion, and rank a top 10 slate with a one-line pitch for each.

Using Dakota Marketplace contact and firm data, build a General Counsel candidate slate for a $12B private credit manager launching its first non-traded BDC and an interval fund for the RIA and wirehouse channel. Find sitting General Counsels, Deputy GCs, and Heads of Product Legal at alternative asset managers ($5B-$75B AUM) that already operate a BDC, interval fund, or tender-offer fund. For each candidate, return: name, current title, firm, firm AUM, tenure in role, the 40 Act or semi-liquid vehicles they have supported, prior employer (law firm or manager), location, and email. Flag candidates whose firm was recently acquired or merged, or whose CEO or CIO left in the last 12 months, as more likely to be open to a move. Exclude anyone at our client's three direct competitors: Ridgeline Credit, Summit Peak Capital, and Ardent Lending.

Using Dakota Marketplace, I'm running a Head of Investor Relations search for a $2B middle-market private credit manager, and the client wants someone who has sat on the allocator side of the table. Find 12-15 senior allocator professionals (directors or heads of private credit or private markets at public pensions, endowments, foundations, OCIOs, and consultants) with 7+ years on the LP side and direct private credit manager selection responsibility. For each, show current firm and title, investor type, firm AUM, tenure in role, prior roles, and any readiness signals: a recent CIO change above them, an OCIO outsourcing decision, a reorganization, or a capped promotion path. Rank by fit and readiness, and draft a two-sentence outreach hook for the top five.

Using Dakota Marketplace, build a candidate slate for the first internal Chief Investment Officer at a $3.2B nonprofit health system (operating reserves, defined benefit plan, and foundation assets) that is ending its OCIO arrangement in mid-2027. Search Deputy CIOs, Senior Directors, and sitting CIOs at endowments, foundations, healthcare systems, and smaller public plans with $1B-$15B AUM. Prioritize candidates who have (1) personally led an OCIO-to-internal transition or built an investment office from scratch, (2) managed multiple asset pools with different liquidity needs, and (3) at least 4 years in their current role. For each candidate return: name, current title and organization, organization type and AUM, tenure in role, relevant build/insourcing experience, prior employers, location, and a likely-movability signal (recent org change, CIO succession blocked, relocation history). Score fit Strong / Moderate / Stretch and close with priority notes on sourcing order and compensation expectations.

Using Dakota Marketplace, help me build a candidate slate of 12 potential independent investment committee members for a $1.8B private foundation client in Chicago that is shifting to 45% private markets. Find current or former CIOs, Deputy CIOs, and Heads of Private Markets at endowments, foundations, public pensions, and health-system investment pools who (1) have 15+ years of allocator experience, (2) have overseen private equity or private credit programs of $500M+, and (3) either left a full-time allocator role in the last 24 months or currently hold fewer than two outside board seats. For each candidate, return: name, current or most recent title and institution, years of tenure, asset-class expertise, size of program overseen, Midwest proximity, existing board or IC seats, and contact info. Exclude anyone employed by a manager in the foundation's current portfolio, and flag candidates who would add diversity of background or expertise to a committee that is weighted toward public equity.

Using Dakota Marketplace, build a candidate slate for the first Head of Co-Investments at a $68B state public pension launching a $1.5B private equity co-investment program in 2027. Search for current and former investment professionals at public pensions, sovereign wealth funds, Canadian-model pensions, endowments, and fund-of-funds who hold or recently held titles including Director/Managing Director of Co-Investments, Direct Investments, or Private Equity, and who have at least eight years of allocator-side experience. For each candidate return: name, current title and institution, institution AUM, tenure in role, prior employers, co-investment program size they oversaw, estimated number of co-investment deals executed, location, and email/LinkedIn where available. Flag candidates whose institution recently underwent a CIO change or program restructuring (potential mobility), those already based in or with ties to the pension's state, and anyone who built a co-investment program from scratch. Rank the top 12.

A $25B global private equity client is hiring a Managing Director, Head of Middle East Investor Relations, based in Abu Dhabi or Riyadh. Using Dakota Marketplace, identify senior IR, client coverage and capital formation professionals at alternative asset managers who currently cover GCC sovereign wealth funds, government pensions and family offices. For each candidate return: name, current title and firm, location, years in seat, prior firms, the GCC allocators their firm has relationships with in Dakota, and contact details. Prioritize candidates who are based in the Gulf or have relocated there, have 10+ years of experience, and whose firm recently closed a fundraise (a natural move window). Also flag any candidates who previously worked at a sovereign wealth fund or regional allocator. Return a ranked longlist of 12 with a one-line pitch for each.

My client is a spinout private credit manager raising its first $500M fund and needs a Head of Investor Relations who has sat on the allocator side. Using Dakota Marketplace contact and position-change data, find professionals who spent 5+ years at a public pension, endowment, foundation, OCIO or insurance general account covering private credit or private markets, and who moved to a GP, placement agent or consultant role in the last 4 years. For each candidate, show current title and firm, prior allocator employer and title, years on the allocator side, asset class coverage, geography, tenure in current seat, and email/LinkedIn. Flag candidates in seat under 18 months as lower likelihood to move, and anyone whose current firm just closed a fund as a retention risk. Return a ranked slate of 12 with a one-line pitch angle for each.

Using Dakota Marketplace contact and job-change data, identify US public pensions, endowments, foundations and healthcare/insurance investment offices with AUM over $2B where 3 or more senior investment staff (Director level and above, including CIO, Deputy CIO, Head of Asset Class, Senior PM) have left in the last 12 months. For each institution, show: name, type, AUM, number of senior departures, roles that are currently open or filled on an interim basis, where the departed staff went (if known), current CIO and tenure, and the HR or board contact who would hire a search firm (name, title, email, phone). Flag institutions that publicly posted roles in the last 90 days and those that have used a retained search firm before. Rank them by likelihood of hiring a search firm within the next 6 months.

I'm a Partner running the institutional investor practice at a retained search firm. Using Dakota Marketplace, build a CIO succession-risk map for US endowments and foundations with $2B to $20B in AUM. Identify 12 institutions where the CIO (or equivalent) has 12+ years of tenure, is likely within 3 years of retirement based on career history, or where the institution has had two or more senior investment-team departures in the last 18 months. For each show institution, AUM, CIO name and tenure, number of investment-staff changes in the last 18 months, the bench of internal successors (Deputy CIO / Managing Directors) with tenure, whether the institution has used a search firm before, and a High/Moderate/Low succession-risk signal. End with 3 priority notes on which institutions to approach first and what angle to take with each.

I'm running a CFO search for a $6B buyout firm that has just started to build out its own in-house fund finance and investor reporting team. Using Dakota Marketplace, build a candidate slate of 12 CFOs, COOs, and Heads of Fund Finance at PE firms with $2B-$10B AUM, with 8+ years in role-appropriate tenure and experience through at least one fundraising cycle. Show name, current firm and AUM, tenure in role, prior firms, whether their firm recently raised a fund or was acquired, a view on likely mobility (tenure over 7 years, new sponsor ownership, or leadership turnover), and LinkedIn-style career highlights. Flag candidates whose firms are in a post-fundraise period and note anyone who has reported to a founder who is stepping back.

Using Dakota contact tenure, staff change history and public plan minutes, identify 10 institutional allocators (public pensions, endowments, foundations, Taft-Hartley and insurers) where the CIO has served 9+ years or recent departures suggest an upcoming leadership transition. For each, show type, AUM, current CIO and tenure, staff changes in the last 12 months, succession indicators from board materials, likely search window and a priority rating. Highlight the three searches most likely to launch within two quarters and the committee chair or HR contact to approach.

I'm a CIO reviewing the all PE strategies manager landscape — all sizes, US-focused. Using Dakota Marketplace, surface managers currently fundraising, what peer institutions have recently allocated to in this strategy, and any managers appearing in multiple datasets as priority candidates. Include fee benchmarks and flag any outliers. Datasets: Form D, Public Pension Investments, Manager Presentations, Fee Studies

I'm a Portfolio Manager at a large Endowment in California. Using Dakota Data, which Private Credit managers have been hired by more than 3 public pensions? I want to understand who the consensus pick are and why. Create a PDF of all of this information that I can share internally.

I'm an Investment Analyst at a large Public Pension Fund looking to see what other Public Pensions allocated to Private Credit managers in 2025. Can you build me a list of the 10 largest Public Pensions and which managers they committed to using Dakota data?

I'm the CIO of a single-family office (~$1.2B AUM) reviewing the private real estate manager landscape. Particularly value-add and opportunistic strategies, US-focused. Using Dakota Marketplace, surface managers currently fundraising, what comparable family offices have allocated to in this strategy, and any managers appearing in multiple datasets as priority candidates. Include fee benchmarks and flag outliers. Datasets: Form D, Manager Presentations, Family Office Holdings, Fee Studies.

I'm the Head of Manager Research at a multi-family office serving 60+ UHNW client families. Using Dakota Marketplace, identify hedge fund managers actively raising capital across long/short equity, global macro, and multi-strategy. I want to know which managers other family offices have allocated to in the last 18 months, minimum investment thresholds suitable for our smallest qualified-purchaser clients (~$5M ticket), and any capacity-constrained managers we should approach now.

I'm the Investment Director at a $400M family office with a 15% target allocation to venture and growth equity. We back emerging managers (Fund I-III) and want to source new GPs. Using Dakota Marketplace, identify emerging VC/growth managers currently fundraising who have backing from at least one institutional LP, sorted by stage and sector focus. Include GP commit levels and any peer family offices already invested.

I run private investments for a $2.5B UHNW family office. We co-invest alongside our existing GP relationships across PE, private credit, real estate, and infrastructure. Using Dakota Marketplace, build me a pipeline of co-investment-friendly managers in our existing relationship set who are currently raising follow-on funds, plus a shortlist of new GPs other large family offices use for co-invest. Surface fee discounts on co-invest sleeves where available.

I'm a Senior Investment Officer at a $45B state public pension fund reviewing the private real estate manager landscape — value-add and core-plus strategies, US-focused. Using Dakota Marketplace, surface managers currently fundraising, what peer public pensions have allocated to in the last 24 months, and any managers appearing in multiple datasets as priority candidates. Include fee benchmarks (with separate-account and large-LP terms) and flag outliers. Datasets: Form D, Public Pension Investments, Manager Presentations, Fee Studies.

We're doing due diligence on a first-time fund manager raising a $300M VC fund focused on enterprise software. Using Dakota Marketplace, find all endowments and foundations with AUM over $500M that have made venture capital commitments in the last three years. For each, show the primary investment contact, AUM, and any notes on VC mandate or first-time fund appetite so I can identify which peers may already know this manager and who to call for a reference check.

We're a $20B state pension preparing to issue an RFP for a new global fixed income manager. Using Dakota Marketplace, find all OCIOs and investment consultants that serve public pension funds in the South and Southeast with at least $1B in advised assets. Show me the key consultant contact, their client pension focus, AUM advised, and any specialty in fixed income or liability-driven investing. I want to know which consultants already have strong fixed income manager relationships before we issue the RFP.

I'm the CIO of a $4B corporate pension fund conducting our annual alternatives manager review. We have 8 managers across private equity, private credit, and real assets. Using Dakota Marketplace, pull performance data on comparable managers — show me how each strategy and vintage year compares to top-quartile benchmarks on IRR, TVPI, and DPI. Also identify 3-5 new managers in each category currently fundraising that have at least 2 institutional pension commitments, a minimum $500M AUM, and haven't yet received a commitment from a corporate pension our size. Return a comparison PDF I can share with the investment committee.

I'm the Director of Investments at a $2.5B healthcare system investment office with a board mandate to grow our impact and ESG-oriented allocations to 15% of the portfolio. Using Dakota Marketplace, identify private equity and private credit managers actively fundraising with an explicitly articulated ESG, impact, or sustainability investment thesis. Show which peer healthcare systems, faith-based endowments, or community foundations have committed to these managers in the last 24 months. Include fund size, vintage, minimum commitment, strategy focus, and the lead GP contact at each. Flag managers with verifiable third-party impact reporting frameworks. Deliver as a PDF I can share with our investment committee.

I'm the Head of Alternatives at a $30B sovereign wealth fund expanding our emerging markets private equity allocation from 5% to 10% of the alternatives portfolio. We want to add 2-3 new first-time or second-time EM PE managers with regional specialization in Southeast Asia or Latin America. Using Dakota Marketplace, identify EM-focused PE managers currently fundraising with AUM between $300M and $2B and a track record of at least one prior fund. Show peer commitments from other sovereign wealth funds, university endowments, and large pension funds in the last 18 months. Include managing partner or IR contact, fund size and target close date, strategy focus, and available performance benchmarks (IRR, TVPI, DPI). Prioritize managers with 3+ institutional LP commitments already confirmed and return a PDF for our investment committee.

Using Dakota Marketplace, show me the current asset allocation strategies of 15–20 peer public pension funds with total AUM between $5B and $15B. For each peer plan, include: total AUM, current target and actual allocation percentages across public equity, fixed income, private equity, real assets, hedge funds, and other alternatives, named external managers in the private markets categories, and any recent changes to their investment policy statement or target allocations. Highlight any external managers that appear in 4 or more peer portfolios that our fund has not yet evaluated — these are candidates for our next manager review cycle. Flag any peer plans that have increased their total private markets allocation above 35% in the last two fiscal years, and note which asset classes drove that increase so I can benchmark our own alternatives strategy.

Our corporate pension fund has opened an RFP for a new private credit direct lending allocation and I need to build a manager shortlist. Using Dakota Marketplace, identify direct lending managers with $1B to $8B in AUM raising a current fund vintage, and pull each manager's strategy focus, fund size, AUM, most recently reported net IRR and TVPI if available, and any key-person departures or investment team turnover in the last 18 months. Exclude any manager where a lead portfolio manager or CIO has departed in that window, since we treat that as a disqualifying risk factor for this search. For each remaining manager, show firm name, strategy, current fund vintage, AUM, 3-year net IRR, team stability notes, and key relationship contact. Rank the list by performance and team stability, and return a PDF shortlist of the top 15 managers I can circulate to our investment committee ahead of the RFP deadline.

Using Dakota Marketplace, screen for emerging and re-emerging PE managers raising Fund I, II, or III where managing partners have a verifiable track record from an established firm. For each, show fund size target, vintage year, strategy focus, lead partners' prior firm and tenure, and existing LP commitments from peer endowments. Filter for funds raising between $150M and $750M.

Benchmark private credit allocation sizing across public pension plans with $5B-$25B AUM. Include allocation as a percentage of total assets, active private credit managers tracked by Dakota, most recent commitment activity, and investment contact. Compare against our current 6% target to assess peer positioning.

We're in final due diligence on a global macro hedge fund manager and want a last check before committing capital. Using Dakota Marketplace, identify peer public pension plans above $5B in AUM that currently or previously allocated to this manager, and flag any that have terminated, redeemed, or reduced the position in the last 24 months. Where board minutes or meeting materials disclose a reason, include it. Return a summary table so I can bring any red flags to our investment committee before we finalize the allocation.

Using Dakota Marketplace, pull a list of all external managers currently in our portfolio and identify which of them have launched a new fund, added a new strategy, or filed a new Form ADV amendment in the last 12 months. For each manager with a new offering, show the new fund or strategy name, target AUM or fund size, asset class, and how it differs from what we currently hold with them. Also flag any managers where recent SEC filings or leadership changes suggest elevated risk, such as key-person departures or declining reported AUM. Return a briefing PDF organized by manager that I can bring to our next investment committee meeting to evaluate re-up and diversification opportunities.

I run the diverse manager program for our $4B Taft-Hartley plan and need to refresh our private equity and private credit manager pipeline. Using Dakota Marketplace, identify women- and minority-owned investment firms with $100M-$2B in AUM that focus on private equity or private credit strategies and have Form ADV filings on record. For each firm, show AUM, strategy focus, ownership structure notes, key contact with title and email, and any recent institutional commitments they have received from peer Taft-Hartley or multi-employer plans. Also flag firms that other similarly sized Taft-Hartley plans have committed to in the last 18 months but that we have not yet evaluated. Return a briefing PDF organized by asset class for our next diverse manager committee meeting.

I oversee alternatives manager selection for our OCIO platform's discretionary clients, which collectively hold about $1.5B in private credit across 8 underlying mandates. Using Dakota Marketplace, identify direct lending and private credit managers currently raising a new fund with a target size between $500M and $2B that have a track record of 3 or more prior funds. For each manager, show fund name, target and current fund size, prior fund vintage years and reported net IRR if available, key IR or fundraising contact, and any recent commitments from peer OCIO firms or institutional allocators. Flag managers not currently represented in our existing roster who show strong peer allocator interest. Return a comparison PDF organized by strategy that I can present at our quarterly manager review.

Using Dakota Marketplace, identify buyout sponsors that have closed a platform acquisition in the last two quarters large enough to generate a co-investment opportunity for our pension fund. For each sponsor, show their latest flagship fund size, the recent platform deal and its enterprise value, and flag whether we already hold an LP relationship with that sponsor, since existing relationships should move first through diligence.

I manage the real assets portfolio for a $9B state pension fund and have a $400M infrastructure allocation to deploy this fiscal year. Using Dakota Marketplace, identify infrastructure and real assets managers currently raising a new fund (Fund II or later) that have received commitments from at least 3 other public pension funds with $5B or more in AUM in the past 18 months. For each manager, show fund name, target and current fund size, sub-sector focus (transportation, digital infrastructure, energy, etc.), the peer public pensions that have committed, and our own current relationship status if we've evaluated this manager before. Flag managers where 2 or more peer pensions of our size have already committed, since that signals institutional-quality due diligence has been done. Return a comparison PDF organized by sub-sector I can bring to our investment committee.

I oversee investment risk for a $7B public pension fund. Using Dakota Marketplace, audit our current external manager roster against recent Form ADV amendments, executive departures, and AUM trend data. Flag any manager where: (1) a Chief Investment Officer, Head of Trading, or other senior investment professional has departed in the last 12 months, (2) reported AUM has declined more than 15% year-over-year, or (3) the manager has filed a new Form ADV disclosure event. For each flagged manager, show firm name, AUM trend (current vs. prior year), departed executive name and title if applicable, compliance flag detail, and the date the change was logged. Return a prioritized PDF risk register I can bring to our quarterly risk committee meeting.

I sit on the investment committee of a $6B public pension fund and need board materials ahead of our quarterly meeting. Using Dakota Marketplace, identify 8-10 peer public pension funds with AUM between $4B and $10B and pull their current asset allocation targets across public equity, fixed income, private equity, real assets, and private credit. Compare our fund's current allocation against the peer average, and flag any asset classes where we are more than 5 percentage points above or below peer median. Also identify any external managers used by 3 or more peer plans that are not currently in our manager roster. Return a board-ready PDF summary I can present at the meeting.

I'm prepping for our investment committee's annual asset allocation review and need to see how peer endowments are positioned in private credit. Using Dakota Marketplace, identify endowments with $1.5B-$5B in AUM that have a disclosed private credit allocation and show their current allocation percentage, target allocation if disclosed, and most recent manager commitments in the space over the last 24 months. Aggregate which private credit managers have received the most commitments from this peer set, and flag any managers appearing in multiple peer portfolios that we have not yet evaluated. Return a briefing PDF organized by peer institution with a summary table of the most-commonly-held managers at the end.

I'm the CIO of a $2.8B corporate pension plan preparing for our annual asset-liability study. Using Dakota Marketplace, cross-reference our external manager roster against each manager's total strategy AUM, recent ownership or change-of-control activity, and key-person departures. Flag any manager where our plan represents more than 15% of the manager's total strategy AUM, where the manager has changed ownership, or where two or more roster managers share a recently departed senior professional. Return a PDF risk memo organized by flag type that I can bring to our investment committee.

I'm the CIO of a $1.8B independent foundation preparing for our annual investment committee meeting. Using Dakota Marketplace, identify 8-10 peer foundations with AUM between $1B and $3B and pull their current allocation targets across private equity, private credit, real assets, and hedge funds. Compare our foundation's current allocation against the peer average, and flag any asset classes where we are more than 5 percentage points above or below the peer median. Also identify managers used by 3 or more peer foundations that are not currently in our manager roster. Return a board-ready PDF summary I can present at the meeting.

I run the emerging manager program at a public pension fund. Using Dakota Marketplace's Form ADV and firm data, identify private equity and private credit managers founded in the last 5 years with under $500M in AUM and disclosed diverse ownership. For each firm, show AUM, strategy focus, year founded, founder background, and any existing institutional commitments on record. Flag firms that have already been backed by peer public pensions as priority candidates. Return a ranked PDF screening list I can bring to our next emerging manager committee meeting.

Using Dakota Marketplace, pull our current roster of GP relationships across private equity, venture, and private credit, and cross-reference against our logged meeting and update history. Flag any manager where we have no recorded touchpoint, portfolio review, or update in the past 18 months. For each flagged manager, show fund name, our current commitment amount, vintage, strategy, and the manager's primary IR contact with title and email. Return a prioritized PDF list ranked by our commitment size so we can schedule refresh calls before the annual investment committee meeting.

Find investment firms in Dakota Marketplace raising private equity funds under $500 million targeting healthcare services, with at least one prior fund showing top-quartile performance. Include AUM, fund size and vintage, performance benchmark data versus peers, and key contact for due diligence. Also show which other public pensions have already committed to this manager's prior funds as a reference check.

Search Dakota Marketplace for investment firms managing a small-cap credit / private credit strategy with 3-year and 5-year performance in the top quartile of the Performance Benchmark data, total strategy AUM under $2B, and no more than 25 institutional LPs currently invested. For each firm, pull investment strategy details, key portfolio managers with career history, current investor base composition, and any recent Marketplace Documents (pitch decks, DDQs) available. Rank by capacity headroom and performance consistency, and produce a due-diligence shortlist of 10 managers with next steps for each.

I manage the pooled investment funds for a $3B donor-advised fund sponsor and need to refresh our impact and values-aligned manager roster. Using Dakota Marketplace, identify private equity and private credit managers actively fundraising with an explicit ESG, faith-based, or impact investment mandate and at least one institutional LP commitment from a foundation or DAF sponsor in the last 24 months. For each manager, show fund name, fund size, vintage, strategy focus, minimum commitment, lead GP contact, and which peer foundations or DAF sponsors have already committed. Flag managers with third-party impact verification or B-Corp status. Return a comparison PDF I can bring to our next investment committee meeting.

I'm the CIO of a $1.8B corporate DB pension plan. Our board just approved a first-time 5% allocation to private credit as part of a broader de-risking and diversification plan. Using Dakota Marketplace, identify direct lending managers actively fundraising a fund between $500M and $2B with an institutional-only LP base, at least 3 existing corporate or public pension LPs, and fee terms at or below the peer median per the Fee Studies data. For each manager, show fund size, vintage, minimum ticket, existing pension LP roster, fee terms, and the key IR contact with title and email. Return a comparison PDF I can bring to our next investment committee meeting.

Our board just approved a first-time allocation to infrastructure equity and I need a defensible shortlist. Using Dakota Marketplace, identify infrastructure equity managers currently raising or recently closed on a fund between $750M-$3B that have a documented track record of union-labor or project-labor-agreement projects, based on investment strategy descriptions and portfolio company data. Exclude any manager already in our portfolio. For each, include fund vintage, target/hard cap close date, sector focus (renewables, transportation, digital infrastructure), key contact, and any recent public plan minutes mentioning their fundraise. Return a shortlist of 10 managers with a short rationale for board presentation.

Using Dakota Marketplace, screen private credit investment firms with total AUM under $2B that focus on direct lending or opportunistic credit strategies. Pull each firm's current fund in market, vintage-adjusted net IRR and loss rate if available, average check size, and existing LP base composition. Exclude any firm already in our portfolio or with a logged 'pass' decision from our team in the last 18 months. Rank the remaining list by risk-adjusted performance and team stability (partner tenure) so I can bring a shortlist of 6-8 managers to our next allocation committee review.

Our investment committee approved a first-time allocation to multi-strategy hedge funds and I need a defensible shortlist. Using Dakota Marketplace, identify multi-strategy or relative value hedge funds currently raising or recently closed on $500M or more that have an institutional-quality administrator, at least one existing public pension or endowment investor, and no red flags in recent Form ADV filings. For each fund, include AUM, strategy focus, fund structure, key contact with title and email, and any recent public plan minutes mentioning due diligence on the manager. Return a shortlist of 8 managers with a short rationale for each as a PDF for our next investment committee meeting.

Using Dakota Marketplace's performance benchmark data, screen our plan's current external managers across public equity and fixed income strategies for trailing 3-year performance below their peer group median. For each flagged manager, show strategy, AUM managed for us if available, trailing 1-, 3-, and 5-year returns versus benchmark, key contact with title and email, and any recent personnel or strategy changes noted in Dakota. Rank the list by degree of underperformance and return a PDF watch list of the bottom 8 managers to discuss at our annual manager review.

Our state retirement system has an emerging manager program requiring PE commitments to funds under $500M raised by firms founded within the last 10 years. Using Dakota Marketplace, screen private equity firms currently raising a fund (Fund I through Fund III) with target fund size under $500M, founded after 2016, that have at least one existing institutional LP (public pension, endowment, or foundation) already committed. For each firm, include fund name and target size, firm founding year, GP contact with title and email, strategy focus, and existing LP base composition. Exclude any firm already in our portfolio or with a logged 'decline' decision in the past 12 months. Rank by fit with our sector priorities (healthcare, industrials, business services) and return a shortlist of 10 managers as a PDF for our investment committee's emerging manager review.

Our $1.8B corporate DB plan is de-risking over the next 18 months and needs to reduce hedge fund exposure by 40%. Using Dakota Marketplace, pull current profiles for our existing hedge fund managers. For each, show current AUM, redemption terms/notice period, lock-up status, recent net flows over the last four quarters, and any recent key-person or strategy changes. Flag any managers experiencing net outflows exceeding 15% of AUM in the past year as elevated redemption-risk. Rank the roster by ease of exit and return a PDF glide-path memo I can bring to the investment committee.

Using Dakota Marketplace, identify private credit and private equity managers offering evergreen or semi-liquid fund structures with monthly or quarterly liquidity, minimum investment sizes compatible with a DC recordkeeping platform, and at least $1B in strategy AUM. For each manager, show fund structure, liquidity terms, current AUM in the vehicle, fee schedule, and GP contact with title and email. Flag any manager who already has an existing DC plan or target-date fund relationship as a validation signal. Rank by liquidity terms and institutional adoption, and return a PDF shortlist of 12 managers for our alternatives sleeve evaluation committee.

Using Dakota Marketplace, screen private equity firms currently raising a fund between Fund I and Fund III with a target size under $750M and at least three years of realized track record. For each firm, show fund name and target size, firm founding year, sector focus, GP contact with title and email, and existing LP base composition. Exclude any manager already held across our client portfolios or logged with a 'decline' outcome in the past 12 months. Rank by fit with our current sourcing priorities (healthcare, industrials, business services) and return a PDF shortlist of the top 12 managers for our next investment committee emerging-manager review.

We want to stand up a co-investment sleeve without adding any new manager relationships, so I need to know which of our existing GPs can actually deliver co-invest deal flow. Using Dakota Marketplace, review our current manager roster and for each GP tell me the strategy, our commitment size and fund vehicle, and whether they run a dedicated co-investment sidecar, syndicate deal-by-deal, allocate only to fund-level anchors, or have no co-invest program at all. Then give me the named partner or IR contact who actually controls the co-investment allocation, not the general relationship contact. Score each relationship on how quickly it could produce live deal flow - ready now, one to two quarters, or not workable - and explain what drives that score. Then tell me what I should state up front in these conversations about per-deal ticket size and decision turnaround to get shown deals ahead of larger but slower LPs. Finally, flag the relationships I should exclude entirely so I can build the sleeve's pacing assumptions around real available capacity.

Using Dakota Marketplace, help me build the case for a secondaries sale out of our private markets portfolio. First, based on our commitment history, identify the fund interests most suitable for a secondary sale - vintages 2012 through 2017 that are past their contractual term or in extension, funds where remaining NAV is a small share of original commitment, funds where the GP has not raised a successor in five or more years, funds with minimal remaining unfunded, and non-core relationships we are unlikely to re-up with. For each give me fund name, sponsor, vintage, strategy, our commitment, estimated remaining NAV and unfunded, fund age, whether a successor fund exists, and whether the sponsor is still actively investing. Second, map the buyer universe for this type of portfolio - dedicated secondaries funds, GP-led and continuation vehicle specialists, secondaries funds of funds, and pensions and sovereign funds that buy directly - with firm name, latest fund size and vintage, estimated dry powder, minimum and target transaction size, strategy and vintage preferences, recent tail-end and diversified LP portfolio purchases, and whether they lead or participate. Third, give me the deal team and origination contacts at the top 12 buyers with titles and emails, and tell me which intermediaries have advised on comparable tail-end portfolios in the last two years.

Using Dakota Marketplace, run a firm-change risk audit across our external manager roster. For each of our current private markets and hedge fund relationships, compare the firm's state today against its state at the time of our commitment and return: current firm AUM versus AUM at commitment, any change in firm ownership including GP-stakes minority sales, management buyouts, or acquisition by a larger platform with the counterparty and date, any change in registration or control disclosed on Form ADV, departures or additions among named investment committee members and senior investment professionals using contact and career history, whether the founder or named key person is still in seat and in the same role, headcount change in the investment team, and any new strategy or vehicle launch that could indicate strategy drift or attention dilution. For each manager tell me whether the change is likely to trip a key-person or change-of-control provision, and rank the roster by how urgently it needs a formal review before the next re-up decision. Include the current GP relationship owner and their direct contact details.

Using Dakota Marketplace, screen open-end core and core-plus real estate and infrastructure funds for a new $900M inflation-protection sleeve at a $22B public retirement system. Requirements: an institutional-quality manager with a ten-year or longer track record in the strategy, fund NAV above $2B, a disclosed current entry or redemption queue, leverage below 40%, and a public plan client base of at least five plans. For each fund return: manager name, fund name, strategy (core real estate, core-plus real estate, core infrastructure, core-plus infrastructure), fund NAV, current entry queue size and estimated wait, redemption queue status, leverage percentage, three- and five-year net returns versus the relevant ODCE or infrastructure benchmark, management fee and any performance fee, number of public plan LPs, and a suitability rating of Strong, Moderate, or Watch with the driving factor. Include the primary institutional client relations contact with title and email, and note any manager with a recent key-person departure, ownership change, or Form ADV amendment. Then recommend a three-manager shortlist with suggested sizing and sequencing given current queue wait times, and list the top diligence questions for each.

Using Dakota Marketplace, screen currently fundraising private credit and structured credit managers for suitability inside a $12B insurance general account. For each manager and vehicle return strategy, current fund target, firm AUM, whether a rated-note feeder is available with its rating and NAIC designation, the count and names of existing insurance limited partners, target net return, and the weighted average life or expected duration of the underlying assets. Rank by RBC-adjusted attractiveness rather than headline return, and separate candidates into three groups: eligible for the general account, better suited to the surplus portfolio, and not currently investable. For anything without a rated feeder, note whether the manager has publicly signaled it is evaluating a rated-note structure for its next vehicle. Also tell me which managers have fewer than ten insurance LPs, since those will likely require side-letter support for statutory reporting.

Using Dakota Marketplace, help me build the 2027 private markets pacing plan for an $18B public pension. For each of my existing GP relationships return the strategy, my prior commitment amount and vintage, whether a successor fund is currently in market with target size and expected close, and how many US public plans between $10B and $30B have committed to that successor fund in the last four quarters. Then surface managers I have no relationship with whose current fund matches my underweight sleeves, with the same peer commitment data. Sort everything into re-up, trim, hold, and new-relationship buckets and show me the total commitment dollars implied by each bucket.

Using Dakota Marketplace, build me a peer benchmarking analysis ahead of our asset-liability study. I'm Deputy CIO of a $9B statewide retirement system and our board is revisiting the policy portfolio in Q1. Identify 12 to 15 peer U.S. public pension plans between roughly $5B and $15B in total assets with comparable funded ratios, and for each pull from public plan meeting minutes and plan documents: current policy target and actual allocation by asset class, any target changes adopted in the last 24 months and the stated rationale, private markets annual pacing commitment in dollars and number of commitments, average commitment size, the private markets benchmark and assumed return, the general investment consultant and any specialty private markets consultant, and their stated position on co-investment and separate accounts. Then produce a comparison table showing where our current targets sit versus the peer median and range for private equity, private credit, real assets, and hedge funds or absolute return. Highlight the three peers whose portfolio construction is closest to ours, flag any outliers that should be excluded from the median and why, summarize any consistent directional trend across the peer set, and cite the specific meeting date and document for every data point so I can footnote the board memo.

Using Dakota Marketplace, help me build a private markets commitment pacing and vintage diversification analysis. Start with our existing private markets manager roster and organize every commitment by vintage year, strategy (buyout, growth, venture, private credit, infrastructure, real estate, secondaries) and commitment size. Show me where we are over- and under-committed by vintage year across the last eight vintages and against our strategy targets. Then identify which vintages and strategies leave us with a pacing gap for the next four quarters. For each gap, give me managers currently raising that fit, including fund name, strategy, target size, amount raised to date, expected final close date, GP AUM, prior fund vintage, prior fund performance where available, minimum commitment, and the IR contact with title and email. Separate re-up candidates already on our roster from new relationships. Flag any manager whose fund would close before our next investment committee meeting so I can prioritize diligence, and tell me which gaps cannot realistically be closed with re-ups alone.

Using Dakota Marketplace, build me a fee, terms, and governance benchmark to prepare for a Fund V re-up negotiation with an existing middle-market buyout GP that is raising a $2.1B fund, up from $1.4B in Fund IV. Assemble a comparable set of at least twelve North American middle-market buyout funds of $1.5B-$3B currently in market or closed within the last 24 months. For each comparable, show me: fund size and vintage, target and hard cap, management fee during and after the investment period and the fee base, carried interest rate, preferred return and whether the waterfall is deal-by-deal or whole-fund, GP commitment as a percentage of fund size, transaction and monitoring fee offset percentage, stated investment period length, key-person and no-fault removal provisions where disclosed, and any first-close or large-commitment fee discounts offered. Then benchmark our GP's proposed Fund V terms against the peer median and quartiles, and flag every term that sits worse than the median for LPs. Separately, tell me which of these comparable managers have offered early-close discounts or fee breaks at our commitment size, and which of our peer plans have committed to them, so I know what the market is actually clearing at. End with the four terms I should prioritize in the negotiation and the specific peer precedent supporting each ask.

Using Dakota Marketplace, pull all private equity and private credit managers currently raising a fund that we have met with or added to our pipeline in the last six months. Cross-reference each against Form ADV data for any disciplinary disclosures, regulatory actions, or material ownership or key-person changes reported in the last 24 months. For each manager, show me: fund name and target size, strategy, our internal pipeline stage and last meeting date, any Form ADV disclosure items, and any recent departure or addition of a named principal on the fund's Form ADV. Flag any manager where a disclosure or ownership change occurred after our last meeting, since that needs to be raised proactively with the investment committee, and give me a one-paragraph operational due-diligence summary for each flagged manager.

Using Dakota Marketplace, screen our existing private equity GP relationships to identify managers with an active fund in market (Fund III or later) in industrials or business services who have a track record of offering co-investment opportunities to LPs, based on Dakota's notes and recent fundraising activity. For each GP, show current fund size, our existing commitment and allocation percentage, typical co-investment check size if documented, key contact with title and email, and any recent deal activity or add-on acquisitions signaling upcoming co-invest opportunities. Rank by relationship strength and likelihood of offering allocation, and return a shortlist of the top 8 GPs my team should proactively contact this quarter.

Using Dakota Marketplace, screen our existing roster of 30 external manager relationships across private equity, credit, and real assets for any Form ADV ownership changes, key-person departures, or leadership transitions logged in the last two quarters. For each manager, show me: strategy and vintage of the fund we're invested in, our current commitment size, the specific change detected and the date it was logged, the manager's current AUM and any recent AUM decline, and the relationship contact with title and direct email so we know who to call. Rank the list by severity of the change, High, Medium, or Low, and give me a one-paragraph risk note for each High-severity flag I can bring to our quarterly investment committee meeting.

I manage manager research for our $12B pension's external manager roster. Using Dakota Marketplace, pull our current approved manager list and flag any firm with a senior investment professional departure, a portfolio manager change, an AUM decline of 15%+, or a strategy change logged in the last 90 days. For each flagged manager, show the firm name, strategy, our current allocation, the specific trigger event and date, and the firm's current CIO or Head of IR contact for follow-up. Rank by allocation size so the largest exposures surface first. Return a PDF watchlist briefing I can bring to our next manager review committee meeting.

I'm the Deputy CIO at a $9B state retirement system reviewing our private credit manager roster ahead of fee renegotiations. Using Dakota Marketplace's fee study data, pull the fee terms paid by public pensions with AUM between $5B and $15B to their private credit managers, segmented by direct lending, mezzanine, and distressed strategies. Compare these benchmarks against the management and incentive fees currently disclosed for our five largest private credit managers, and flag any manager charging more than one standard deviation above the peer benchmark. Return a PDF fee renegotiation memo with talking points for each flagged manager I can bring to our investment committee.

I run our emerging manager program and need fresh candidates for next quarter's pipeline review. Using Dakota Marketplace, identify diverse-owned private equity and private credit managers with under $500M in AUM currently raising Fund I, II, or III, that show strong early fund performance or notable LP support in their existing base. For each firm, show fund size and vintage, founder/GP background, current LP roster if disclosed, and any recent first or final close activity logged in the last 6 months. Rank the list by fundraising momentum and LP quality, and return a shortlist of the top 10 managers with a one-paragraph rationale for each I can bring to our program committee.

For each of the following 8 managers currently in our portfolio [list placeholder], pull from Dakota Marketplace: total number of public pension clients, aggregate AUM sourced from public pensions, any public pension redemptions or terminations in the past 18 months (via plan minutes), and the manager's overall AUM trend. Summarize each manager in a one-paragraph stability assessment for the investment committee, flagging any manager where public pension client attrition exceeds 10% year-over-year.

I'm preparing for our investment committee's annual asset allocation review. Using Dakota Marketplace, identify university and college endowments with AUM between $5B and $15B, and for each show their current disclosed or estimated venture capital allocation percentage, total alternatives allocation, and any recent VC fund commitments logged in the last 12 months including fund name and vintage. Compare our current 12% VC allocation against this peer set and flag whether we are over- or under-allocated relative to the median. Return a PDF peer benchmarking summary with a comparison table I can present to the investment committee.

Pull our current hedge fund manager roster from Dakota Marketplace along with each fund's redemption frequency, notice period, gate provisions, and lock-up terms. Categorize each manager into liquidity tiers (daily/monthly, quarterly, annual, gated) and calculate what percentage of total hedge fund AUM falls into each tier. Flag any manager with gate provisions triggered in the past 5 years or with liquidity terms that have lengthened since our initial investment, so I can bring a liquidity risk summary to next month's risk committee.

Benchmark the fee terms, carry structure, and co-investment rights across our current private equity and private credit GP roster against what Dakota shows for peer corporate pension plans with $5B-$15B in AUM. Flag any of our GP relationships where our terms appear materially worse than what peer plans have negotiated for similar fund sizes and vintages. Output a table by GP with our terms, the peer benchmark range, and a flag for renegotiation priority ahead of our annual manager review.

Ahead of our investment committee's annual glide path review, pull our corporate pension plan's full private credit manager roster from Dakota Marketplace, including each manager's AUM, strategy sub-type (direct lending, mezzanine, special situations), our estimated allocation size, and vintage. Calculate what percentage of our total private credit allocation is concentrated in each manager and each strategy sub-type, flag any single manager above 20% concentration or any strategy sub-type above 40% concentration, and cross-reference against Dakota's data on any of these managers that have had recent key-person departures or AUM declines. Return a PDF concentration risk summary with a comparison table I can present to the investment committee.

Ahead of our investment committee's annual hedge fund review, I want to benchmark our manager roster against peer university endowments. Using Dakota Marketplace, identify endowments with AUM between $3B and $10B and pull their disclosed hedge fund and multi-strategy manager relationships from public filings and Dakota's data. Cross-reference against our current 18-manager hedge fund book to flag which managers we share with 3 or more peers (potential crowding risk) and which strategies (equity long/short, macro, credit) are underrepresented in our book relative to peers. Return a comparison table and a one-page PDF summary I can present to the committee.

I oversee alternative allocations for a $3B regional insurance company general account. Using Dakota Marketplace, identify private credit and direct lending managers that have closed a new fund or raised a follow-on vehicle in the last 12 months, have a rated note or NAIC-designation-friendly share class, and show total AUM, most recent fund size, target return, and the investor relations contact. Cross-reference against managers who have historically raised capital from other insurance general accounts. Return a shortlist ranked by AUM I can bring to our next allocation committee meeting.

Our corporate DB plan is de-risking and we plan to sell roughly $600M of NAV in 2012-2018 vintage private equity and real estate fund interests in an LP-led secondary sale in 1H 2027. Using Dakota Marketplace, take our current GP roster and, for each fund we hold from those vintages, show: GP name, fund name and vintage, strategy, fund size, whether the GP has run a tender offer, continuation vehicle, or approved LP transfers in the past 24 months, the GP's IR/transfer contact (name, title, email), and any known ROFR or consent requirements noted in Dakota's fund data. Then identify the 10 most active secondary buyers (dedicated secondaries funds, pensions, and OCIOs) that have purchased LP interests in these same GPs' funds, with their deal team contacts and typical deal size. Assign a Transfer Friction signal (Low / Medium / High) to each fund interest based on GP cooperation history and consent requirements, and recommend how to split the portfolio into two or three tranches to maximize pricing.

We've received a continuation vehicle election notice from a GP in our roster for a single-asset CV holding a Fund III portfolio company, with a 20 business-day election deadline. Using Dakota Marketplace, build a roll-vs-sell decision brief. Pull: (1) the GP's profile, including current AUM, funds in market, recent fundraising momentum, key-person changes in the last 24 months, and any prior continuation vehicles they've run; (2) the lead secondary buyer's profile, AUM, dry powder, recent GP-led deal activity, and the institutional LPs backing their latest fund; (3) peer public pensions, endowments, and foundations that are LPs in the same GP's Fund III, with their private equity allocation vs. target and any public plan minutes discussing this or similar CV elections; and (4) benchmark pricing and terms for comparable single-asset CVs where Dakota has data. Return a summary table of peer LPs showing likely election (Roll, Sell, or Unknown) and the rationale from any board minutes, then a short recommendation framework that weighs our over- or under-allocation to PE, the GP's re-up relationship, and the pricing versus NAV, and a list of the GP and lead buyer contacts we should call before the deadline.

Using Dakota Marketplace, we're in final diligence on [GP Name] Fund VI, a $2.8B middle-market buyout fund, ahead of our November investment committee. Pull every allocator Dakota shows as an LP in Funds III, IV, and V, and identify 12 best suited for reference calls: prioritize public pensions and endowments of similar size ($8B-$50B), anyone who committed to Fund V but not a prior fund (new relationships), and anyone in Fund IV but not Fund V (possible lapsed LPs - often the most informative calls). For each return: institution, type, AUM, funds committed (III/IV/V), most recent commitment size, the investment staff member who led the relationship (name, title, email), whether they've re-upped for Fund VI (if known), and a reference-value signal (High / Medium / Low). End with the three calls we should make first and the specific question to ask each.

Using Dakota Marketplace, run a team-stability screen on the 10 growth equity managers on our shortlist for the FY2027 pacing plan. For each manager, pull the current senior investment team (Partner, Managing Director, Principal) from Dakota contacts and compare it against the team listed at the prior fund's launch. Return: manager, current fund in market and target size, number of senior investment professionals today vs. prior fund, senior departures in the last 36 months (names, titles, where they went), senior hires in the same period, average partner tenure, whether any named key person has left or changed role, and a team stability rating (Stable / Watch / Concern). Flag any departures to a competing firm or a spin-out, and list the three due diligence questions we should ask each Watch or Concern manager.

Our private equity program is 4% allocated to Asia versus a 10% policy target, and Japan's corporate governance reforms have made mid-market buyouts there a priority. Using Dakota Marketplace, screen Japan-focused and pan-Asia mid-market buyout managers currently raising or expected to launch a fund in the next 12 months. For each manager, return: firm name, HQ, strategy and country focus, current fund (target size, vintage, first close status), prior fund size and vintage, notable U.S. institutional LPs in prior funds, key investment professionals with titles, and IR contact info. Add a Diligence Priority rating (High/Medium/Low) based on fund size fit for a $50-100M commitment, depth of U.S. LP base, and team stability. Also flag which managers already count peer public pensions as LPs and which have a placement agent or U.S. IR presence.

Using Dakota Marketplace, identify private equity and private credit managers currently raising a Fund I or Fund II (target size $100M-$750M) whose founding partners spun out of an established firm with $5B+ AUM within the last four years. For each, show manager name, strategy, fund number and target size, amount raised to date and first-close date, the founding partners with their prior firm and title, years at the prior firm, and the prior funds where they led deals. Flag teams where two or more partners came from the same prior firm (a cohesion signal), where the prior firm has confirmed track-record attribution, and where peer public pensions or endowments have already committed. Include the IR contact for each manager and rank the top 12 for a first diligence call, noting any that fall outside our emerging-manager definition (Fund III+ or over $1B).

Using Dakota Marketplace, I'm in diligence on a lower-middle-market buyout manager raising its Fund IV. Pull every institutional allocator that Dakota shows committing to the manager's Fund I, II or III. For each LP return: allocator name, type, AUM, which prior funds they committed to and the commitment amount, whether they have re-upped into the current fund (or are listed as a prospect), the CIO or private equity lead with contact info, and any public plan minutes commentary on the manager. Then group the LPs into: Re-upped across every fund, Skipped a fund, and Did not return. Color-code that status (green / amber / red), and highlight 5 peer endowments or foundations I should call for reference checks first, prioritizing those that dropped out, along with 3 specific questions to ask each about team stability, attribution and fee terms.

Using Dakota Marketplace, pull the current portfolio companies for each of the following GPs in our private equity program: [list 10-15 GP names and fund vintages]. Identify every portfolio company held by two or more of our GPs (through primary funds, continuation vehicles, or co-investment), and every case where one of our GPs sold a company to another of our GPs in the last five years. For each overlap return: company name, sector, HQ, the GPs and funds holding it, entry year for each GP, estimated enterprise value band, and whether the deal was a secondary buyout between our managers. Then summarize our program's look-through sector exposure by GP and flag GPs where more than 35% of the portfolio sits in a single sector. Rate each overlap's concentration risk as High / Moderate / Low and close with a short memo I can bring to the investment committee on whether our next two commitments should diversify away from any sectors or managers.

We just terminated our core-plus US real estate manager, Bayline Realty Advisors, for performance and key-person concerns. Using Dakota Marketplace and public plan minutes from the last 24 months, identify every other public pension or endowment that terminated or put Bayline on a watch list, and show who they hired as the replacement (manager, vehicle, mandate size, date). Then build a replacement shortlist of core-plus US real estate managers with $5B+ in strategy AUM, open-end or evergreen vehicles, and at least three public pension clients. For each, show strategy AUM, number of public plan LPs, 5-year net return if disclosed, fee terms where minutes show them, and the senior IR contact. Rank the shortlist by how many peers have already chosen them as a Bayline replacement.

Using Dakota Marketplace, screen investment firms offering evergreen, interval, or tender-offer private markets vehicles (private credit, secondaries, infrastructure, private equity) with at least $500M in vehicle AUM and a 3-year track record. For each vehicle show the manager, strategy, vehicle structure, vehicle AUM, redemption frequency and gate, management/incentive fee, minimum investment, and which family offices, RIAs, and endowments in Dakota are recorded as investors. Flag vehicles where the manager's flagship drawdown team has seen senior investment departures in the last 18 months. Rank the top 10 on liquidity terms, fee drag, and peer adoption, and recommend which three to take into a first meeting, with diligence questions on NAV marking and liquidity management.

Using Dakota Marketplace and public plan minutes, build a peer pacing benchmark for our $28B state public pension ahead of our December investment committee meeting. Identify 10-12 U.S. public pensions with AUM between $15B and $45B that have adopted a 2026 or 2027 private markets pacing plan. For each peer, show plan name, state, AUM, current private equity / private credit / real assets allocation vs. target, the approved annual commitment budget for each asset class, number of planned new fund commitments, and the consultant of record. Highlight any peer that increased or decreased its private markets budget by more than 15% year over year and summarize the stated reason from the minutes (denominator effect, liquidity, performance, staffing). Flag each peer's Pacing Posture as Expanding, Holding, or Reducing. Finish with a short summary of where our draft plan ($2.4B across PE, private credit, and real assets) sits versus the peer median.

Using Dakota Marketplace, identify independent private equity, private credit, and infrastructure managers with $3B-$15B in AUM, at least three flagship funds raised, and either a founding partner nearing retirement or recently announced senior partner transitions. For each manager show: AUM, strategy, number of funds, latest fund size and vintage, fundraising momentum (latest fund vs. predecessor), headcount trend, ownership structure (founder-owned or existing minority stake holder), and the managing partner and COO/CFO with contact details. Flag managers raising a larger successor fund that may need GP commitment capital, and rank the top 10 by fit for a $150M-$400M minority stake.

Using Dakota Marketplace, pull the full current and recently exited portfolio company lists for these eight healthcare-services private equity managers on our short list: [list GP names]. For each portfolio company return: company name, sub-sector, HQ and service-area states, sponsor entry year, ownership status, and CEO. Then cross-check every company against our conflict list of competing health systems, physician groups, payers, and top-25 vendors in Ohio, Indiana, and Kentucky [paste list], and flag any company that operates facilities, physician practices, or ambulatory surgery centers in our service area. Summarize by manager: total portfolio companies, number of direct conflicts, number of soft conflicts (same market, different service line), and whether the GP has a stated policy on health-system LP conflicts in their materials. Also list peer health system and hospital LPs that have committed to each manager's most recent fund, with the investment staff contact, so we can call for references.

We've received 14 unsolicited pitches this quarter for private credit, lower mid-market buyout, and venture funds. Here are the managers: [paste list]. Using Dakota Marketplace, pull for each manager: fund name and target size, strategy, number of prior funds, current AUM, which named institutional LPs (especially foundations and endowments of our size) are in their prior funds, any senior team departures in the last 24 months, and their placement agent if any. Then give each a triage signal (Advance to first call, Hold, or Pass) based on peer-LP quality, team stability, and fit with our 2027 pacing plan, which calls for two new private credit relationships and one new buyout relationship. Return a sorted table and a short paragraph on the top three.

Using Dakota Marketplace, find 10-15 peer allocators (healthcare system foundations, endowments, community foundations, and mid-sized public pensions) with $3B-$15B in AUM that already allocate to private credit, have previously co-invested or participated in pooled or club vehicles, and do not currently have their own SMA with a direct lending manager. We want to form a consortium of 3-5 institutions to jointly seed a $400-600M private credit SMA, meeting $150M+ manager minimums and negotiating a fee break. For each peer, return: allocator name, type, AUM, private credit allocation % and target, current private credit managers, any prior pooled or club participation, CIO or Head of Private Markets contact, shared consultant (if any), and a Consortium Fit signal (Strong / Moderate / Weak). Rank them and note any peers that share a consultant with us, since that simplifies governance.

Using Dakota Marketplace, our GP has launched a continuation vehicle process for three assets in its 2017-vintage Fund V, and the LP election deadline is in 30 days. Pull every disclosed LP in that fund and return: LP name, type, AUM, commitment to Fund V, estimated share of the fund, whether they hold an LPAC seat, their re-up history with this GP (Fund VI and VII), any record of selling LP interests or electing to sell in prior GP-led deals, and the private equity team contact (Head of PE or Senior PM) with email. Based on their secondaries history, pacing position (over or under PE target), and re-up behavior, estimate whether each LP is likely to roll, sell, or push for a status-quo option. Then identify the 5-6 co-LPs we should call first to compare notes on the clearing price (reported at 94% of June 30 NAV), and summarize talking points on fairness opinion scope, LPAC conflict waiver, and GP carry crystallization terms.

Using Dakota Marketplace, build a universe of private equity and growth managers whose primary strategy is sports franchises, sports media rights, live entertainment, or sports-adjacent technology. Include managers with a fund currently in market or closed since 2023. For each manager, return: manager, HQ, current or most recent fund, target/final size, vintage, fundraising status, strategy focus, and which endowments, foundations, or other institutional peers with $3B+ AUM are disclosed LPs. Add a Peer Validation column (Strong = 3+ peer LPs, Moderate = 1-2, Limited = none disclosed). Sort by Peer Validation, then fund size, and close with notes on how crowded the space is, which managers are most institutionally validated, and which peer CIOs I should call for reference checks.

Our board just approved a 2% (~$380M) natural resources sleeve within real assets, split roughly 60/40 between farmland and timberland. Using Dakota Marketplace, build a universe of 12 farmland, timberland, and diversified natural-resources managers. For each: firm, HQ, strategy (row crop, permanent crop, timber, or mixed), current or next fund name, target size and expected close, firm AUM, regional exposure (U.S. regions, Australia/NZ, South America), any carbon or ecosystem-services program, and the public pensions and endowments that committed to their recent funds (with amounts and dates). Flag managers coming to market in the next 6 months, those with 3+ peer-pension LPs we can reference-check, and any key-person changes in the past 24 months. List which investment consultants have recommended each manager, and rank by fit for a $50-90M commitment.

We have eight private markets managers up for re-up decisions in the next nine months. Using Dakota Marketplace contact and firm data, show me for each manager every senior investment professional (Principal and above) who joined or left the firm since October 2023, with title, tenure, and where they went. Calculate net senior headcount change, flag any named key persons in the current fund who have departed or changed roles, and note any new spinout firms founded by former team members. Rank the eight managers by team-stability risk and tell me which ones warrant a dedicated key-person discussion before we sign.

Using Dakota Marketplace commitment data, analyze the 10 private equity and private credit managers in our portfolio that are currently raising a successor fund we will need to re-up into in the next 12 months. For each manager, identify every endowment, foundation, and public pension that committed to the prior fund, then determine which of those peer LPs have committed to the current fund so far. Return: manager, prior fund and vintage, our commitment, number of peer institutional LPs in the prior fund, number that have re-upped, re-up rate %, the names of notable non-re-ups, and whether any of those LPs disclosed a reason in board minutes (team change, performance, strategy drift, or pacing). Flag managers with a re-up rate below 60% among peer institutions so we can prioritize deeper diligence and reference calls before our IC.

Using Dakota Marketplace, build a 2027 fundraising calendar for our private markets program. Start with the 18 GPs currently in our portfolio plus the 10 managers on our watch list (names pasted below). For each, show the next fund they are expected to raise, target size, strategy, expected launch quarter and first close, and current fundraising status in Dakota. Flag any senior team departures, strategy or size drift (target more than 50% larger than the prior fund), or key person changes since our last commitment. Then total the expected 2027 re-up demand by quarter against our $420M private markets budget, and highlight where we are likely to be over-committed or where a GP may hold a first close before our IC calendar allows us to commit.

Using Dakota Marketplace, analyze LP re-up behavior for Fieldstone Capital Partners, which is raising Fund IV ($1.6B target) after Fund III ($1.1B, 2021 vintage). List the institutional LPs on record in Fund III and show for each: LP name and type, Fund III commitment size, Fund IV status (re-upped, increased, decreased, declined, or undecided), the size change, and any concurrent allocator-side signal that explains the decision, such as a CIO or PE head departure, an over-allocation to private equity, a pacing cut, a consultant change, or a manager-roster consolidation. Separate declines driven by LP-specific circumstances from declines that could reflect concerns about the manager. Calculate the overall re-up rate by count and by dollars, flag any peer allocator that declined and whose investment staff we can call for a reference, and close with priority notes for our IC memo.

Using Dakota Marketplace, our plan is an LP in Calder Point Capital Partners Fund VI ($2.4B, 2017 vintage), and the GP has requested a second one-year term extension plus a management fee continuation ahead of a consent deadline on December 15. Identify every other institutional LP in Calder Point Fund VI and Fund VII, with commitment size where disclosed, institution type, and whether they hold an LPAC seat. For each LP, also return: total exposure to Calder Point across funds, whether they've committed to Calder Point's Fund VIII fundraise, the private equity lead with contact info, and any board minutes or meeting notes referencing Calder Point. Then group the LPs into likely blocs (re-uppers likely to approve, LPs in wind-down or secondary-sale mode likely to oppose, undecided) and suggest the five LPAC members we should call first to coordinate a position on extension terms and fee concessions.

Using Dakota Marketplace, take our current private markets manager roster (pull every GP where our endowment is listed as an LP) and identify which of those managers are holding annual meetings between November 2026 and March 2027. For each manager return: GP name, strategy, our funds committed and approximate exposure, latest fund vintage and size, whether a successor fund is in market or expected within 12 months, key-person or senior team departures logged in Dakota over the past 18 months, number of peer endowments and foundations in their latest fund, and the IR contact for registration with email. Score each meeting as Attend In Person, Attend Virtually, or Skip based on exposure size, upcoming re-up decision, and team-change risk. Output a ranked calendar for our 4-person private markets team with no more than two in-person meetings per person per month.

Our investment committee is evaluating a first allocation of $40-60M to litigation finance in 2027. Using Dakota Marketplace, find endowments, foundations, public pensions, and family offices that have committed to litigation finance or legal assets funds in the past five years. For each, show: allocator name and type, AUM, which manager(s) and fund(s) they committed to, commitment year and size where available, whether they have re-upped, and the investment staff member responsible (name, title, email). Then list every litigation finance manager they used with AUM, latest fund size and vintage, and how many Dakota-tracked institutional LPs each has. Highlight allocators of similar size to us (under $5B) as the best candidates for a peer diligence call.

We're building a $600M asset-based finance sleeve in our general account over the next 18 months. Using Dakota Marketplace's investment firm and fund data, list managers running ABF or specialty finance strategies (consumer, equipment, fund finance, royalties and esoteric ABS) with at least $1B in strategy AUM. For each, show firm, strategy focus, strategy AUM, current fund or SMA availability, target net return, whether they offer rated-note feeder structures with NAIC designations, number of existing insurance LPs, and the head of IR or insurance solutions contact. Flag managers with rated feeders and 3+ insurance clients as Priority, and note anyone currently raising with a close in the next 6 months.

Using Dakota Marketplace, identify US state and municipal public pension plans with AUM between $10B and $50B that changed their private credit target allocation in the last 18 months. For each plan, show: name, AUM, funded status, previous vs. new private credit target, current actual allocation, the sub-strategies they've added (direct lending, asset-based finance, opportunistic/special situations, infrastructure debt), the structure used (commingled fund, SMA, fund-of-one, co-invest program), the managers they hired with commitment amounts and dates, and the private credit lead (name, title, email, phone). Summarize the patterns across the peer group, including median target change and most common structures, and flag which managers appear in 3+ peer portfolios. I'm preparing a board memo on resizing our own 6% private credit target.

I'm Director of Real Assets at a $28B state pension planning our 2027 infrastructure program ($600M of commitments, targeting 3-4 core and core-plus funds). Using Dakota Marketplace, screen the infrastructure manager universe for funds currently in market or launching in the next 9 months that (1) target core or core-plus strategies, (2) have a fund target of $2B+, (3) have a track record of at least 2 prior funds, and (4) count at least three public pensions of our size ($15B to $60B) in their existing LP base. For each manager show fund name and target, strategy, prior fund net IRRs where Dakota has them, number of peer public pensions in the LP base with names, any recent key-person changes, fee terms if known, and a Strong/Moderate/Low fit signal. Flag managers where one of our peer pensions has recently increased or decreased its commitment, and give 3 priority notes on the 6 managers to take to first-round meetings.

I'm the CIO of a $6B corporate DB plan with 14 private equity managers in our program. Using Dakota Marketplace, scan the senior professionals at private equity firms I currently invest with (I'll list them: Alder Creek, Ravenscourt, Stonehaven, Hollis Brook, Westmere, Kestrel Peak, Marlowe & Finch) and flag any senior investment professional departures, promotions or new hires in the last 12 months. For each manager show the person, previous role, new role or destination firm, date, whether they were named in our fund's key-person clause, current fund and its performance (TVPI, DPI), and a risk rating for whether we need to trigger a review. Give me a prioritized list and suggested questions for each manager's next call.

Using Dakota performance and benchmark data, compare North American mid-market buyout managers with 2017-2019 vintage funds. For each, show net IRR, TVPI, DPI, quartile versus vintage-matched peers, next fund timing and any fee terms on file. Emphasize DPI because our plan needs realized cash returns. Recommend which managers merit a re-up, which to hold and watch, and which to reduce, and flag fee negotiation opportunities above $100M.

I'm the CIO of a $2.5B university endowment with a 12% target allocation to private credit. We're evaluating whether to re-up with our existing manager or diversify to a new manager for our next commitment cycle. Using Dakota Marketplace, pull a list of private credit funds that have closed or are actively fundraising in the last 24 months with fund sizes between $1B and $10B. For each fund, show the manager name, fund name, fund size, vintage year, strategy (direct lending, distressed, mezzanine, etc.), management fee and carry if available, IRR and TVPI benchmarks from comparable funds, and any peer university endowments (AUM $1B–$5B) that have made a commitment. Flag managers where 3 or more peer endowments have committed in the same vintage year. Return a comparison PDF I can share with my investment committee.

Using Dakota Marketplace, identify private credit fund managers that launched their flagship strategy between 2018 and 2023, have raised between $200M and $1.5B in total AUM, and have verified performance data on file (IRR, TVPI, DPI). I am evaluating candidates for our emerging manager program. For each manager, return: fund name, firm name, strategy description (senior secured, mezzanine, distressed, etc.), fund vintage year, total AUM raised, verified net IRR and TVPI where available, key portfolio managers and their backgrounds, location of firm headquarters, and current LP roster if known. Exclude managers already in our existing portfolio.

I'm the CIO of a $12B public pension fund. Our board has asked us to reduce the number of alternative managers we work with from 45 to 30 across private equity, private credit, real assets, and hedge funds. Using Dakota Marketplace, pull data on the current alternatives manager landscape to help me benchmark: which PE and credit managers in our size range ($2B–$20B AUM) are most commonly held by comparable public pensions ($8B–$20B AUM)? I want to see the top 25 most widely held PE managers by public pension funds in our AUM range, with each manager's fund count, strategy type, AUM, and how many pensions in our comparable universe hold them. Present as a ranked consensus picks list I can bring to our investment committee.

Using Dakota Marketplace, find venture capital managers with the following profile: (1) primary investment focus is climate technology, energy transition, clean energy, or sustainability, (2) most recent fund size is between $100M and $750M, (3) fund vintage 2021 or later, (4) GP team has at least one partner with a prior institutional investment or operating background. For each manager, return: firm name, fund name and size, vintage year, strategy description, GP team bios (titles, backgrounds), key contact name and email, current fundraise status, any university endowment LPs already in the fund (helpful for reference calls), and performance benchmarks if disclosed. Prioritize managers that have not yet had a first close so we can negotiate better LP terms.

Search Dakota Marketplace for private credit managers currently raising a Fund I or Fund II targeting direct lending to lower middle market companies (EBITDA $5M–$25M). Filter for managers with a disclosed target fund size of $100M–$750M, at least one GP principal with prior institutional credit experience (BDC, insurance, or bank credit platform), and that are not affiliated with a larger multi-strategy platform. For each manager, show the fund name, strategy description, GP principals and their backgrounds, target raise, current close amount if disclosed, geography focus, and the best contact for a first call. I want to build a first-look watchlist to share with our IC before our next manager sourcing review.

Using Dakota Marketplace, build a comprehensive list of fund managers currently raising or having recently closed an infrastructure debt or infrastructure credit vehicle. For each manager, show: fund name and strategy description (senior vs. subordinated, sector focus, geographic mandate), target fund size and amount raised to date, vintage year of their most recent prior closed fund, key principals with titles and direct contact info, and AUM growth trend from Form ADV filings over the last three years. Our investment committee has approved a new $250M infrastructure debt allocation, and I need to present a complete competitive landscape of 8–12 qualified managers before we issue an RFP — covering both established platforms and credible emerging managers in the space.

I was just named CIO of an $800M community foundation with a 20% target allocation to alternatives. My board has asked me to conduct a full audit of our existing alternatives manager roster before my first investment committee meeting. We currently have commitments to 8 managers across private equity, private credit, real assets, and hedge funds, but I don't have good benchmarking data on whether they are top-quartile performers or whether our fees are competitive. Using Dakota Marketplace, for each of the following managers: [list manager names], pull available performance data including IRR, TVPI, and DPI versus vintage-year benchmarks. Also identify 3-5 comparable managers in each strategy that other foundations of our size ($500M-$2B AUM) have committed to in the last 3 years - specifically peer community foundations and family foundations that allocate similarly. Flag any of our current managers where (1) peer allocators have meaningfully reduced their allocation, (2) the fund strategy is overrepresented in our portfolio relative to peers, or (3) the manager is actively fundraising for a new vehicle with materially different terms. Return a comparison PDF organized by asset class that I can use as a briefing document for my board.

I manage alternatives for a $2B single family office with current hedge fund exposure concentrated in multi-strategy and long/short equity. I want to understand how our current manager roster compares to what similar-sized family offices and endowments are holding. Using Dakota Marketplace, pull a list of single family offices and endowments with $1B-$5B AUM that have documented hedge fund allocations. For each, identify which strategies they favor (long/short, macro, event-driven, multi-strategy), their known manager names if available, and their approximate hedge fund allocation as a percentage of total AUM. Then identify any hedge fund managers that appear frequently in peer portfolios that we do not currently hold, and flag any managers in our current book that appear to be losing traction based on recent redemption activity or reduced new commitments from peers.

Show me all RIAs in the Southeast with AUM between $250M and $1B that have alternatives as an investment preference

Show me all hedge fund-focused investment firms and family offices in the New York City metro with AUM between $500M and $3B that have both hedge fund and private equity as investment preferences

Show me all RIAs and multi-family offices in the United States with AUM between $500M and $5B that have alternatives, private equity, or hedge funds as an investment preference

Show me all private equity and venture capital firms in North America with AUM between $250M and $5B that have filed a Form D in the last 18 months

Show me all private company transactions in the industrials and technology sectors closed in the last 6 months where the deal size was between $50M and $500M

Using Dakota Marketplace, find private equity and venture capital firms in North America with AUM between $500M and $3B that have filed a Form D in the last 12 months. Identify firms raising a Fund II, III, or IV — suggesting they are scaling operations and likely outgrowing spreadsheet-based LP management. Include firm name, AUM, fund name, strategy focus, and CFO or COO contact at each. Return a ranked outreach list of the top 30 prospects, prioritizing firms with the most recent Form D activity and multiple funds on record.

I sell investor relations and CRM software to family offices and boutique investment managers. Using Dakota Marketplace, find all single-family offices and multi-family offices with AUM between $500M and $5B in the Northeast that manage alternatives allocations. Show me the key operations or technology contact at each firm, their AUM, city, and employee count. I want to build an outreach list of firms likely running on spreadsheets or outdated systems that would benefit from a modern IR platform.

I sell alternative data and analytics products to quantitative and systematic hedge funds. Using Dakota Marketplace, find all hedge fund-focused investment managers with AUM over $200M in New York, Connecticut, and Massachusetts that focus on quantitative, systematic, or algorithmic strategies. Include the head of technology, head of research, or chief data officer at each firm plus their email and phone. I need a cold outreach list of 50 firms most likely to purchase data products.

I sell fund administration and back-office software to PE and VC firms. Using Dakota Marketplace, find all private equity and venture capital firms with AUM between $500M and $3B in the United States that have filed Form D filings on two or more funds in the last three years. Show me the CFO or COO contact at each firm, plus AUM, fund count, and location. These firms are likely outgrowing spreadsheet-based administration and are ideal prospects.

I sell LP portfolio monitoring and reporting software to institutional allocators. Using Dakota Marketplace, find all pension funds, endowments, and foundations with AUM over $1B that have made five or more private equity commitments in the last three years. Show me the Director of Investments, CIO, or Head of Operations at each account, plus their contact info. I want to prioritize accounts where manual LP reporting is a likely pain point given the volume of PE relationships.

I sell valuation and portfolio analytics software to PE back-office teams. Using Dakota Marketplace, find all private equity and private credit firms in North America with AUM between $1B and $20B that are currently raising Fund III or later and have more than 5 active portfolio companies. These firms have complex valuation and reporting needs likely handled manually or with outdated tools. Include the firm name, AUM, fund count, CFO or COO contact name and email, and any recent Form D or fundraising activity. Flag firms with recent finance or operations hires — those signal active tech evaluation. Return a ranked prospecting list of 30 targets.

I sell investor portal and digital subscription processing software to alternative investment managers. Using Dakota Marketplace, find all private equity, private credit, and real asset fund managers in the United States with AUM between $500M and $5B that have filed Form D filings on two or more active funds in the last 36 months. These managers are processing LP subscriptions and distributions across multiple vehicles - a clear need for digital workflow automation. Show the COO or CFO at each firm, their AUM, number of funds on record, and direct contact information. Return a ranked outreach list of 40 priority targets with a short rationale for why each is a strong fit.

I sell compliance and regulatory reporting software to SEC-registered investment advisers. Using Dakota Marketplace, find all registered investment advisers in the United States with AUM between $500M and $5B that manage a combination of liquid equity or fixed income strategies and at least one private fund or alternative product. These multi-strategy RIAs face the most complex Form ADV and GIPS reporting requirements and are most likely to be outgrowing manual compliance workflows. Include firm name, AUM, number of strategies or funds on record, CCO or head of compliance contact, and location. Prioritize firms that have added a new private fund in the last 24 months — a clear compliance infrastructure trigger event. Return a ranked outreach list of 40 priority prospects.

I sell fund administration and back-office automation software to mid-market private equity and private credit firms. Using Dakota Marketplace, identify registered investment advisers that manage at least one private fund with AUM between $200M and $2B, have closed a new fund in the last 18 months, and have 10 or more LP investors across their platform. These firms are likely experiencing operational scaling pain and are strong candidates for fund administration modernization. Show the firm name, AUM, number of active funds, fund strategy, key operational contact (CFO, COO, or Head of Operations) with email if available, and any signals of rapid growth such as a new fund close in the last 12 months. Prioritize firms headquartered in the Northeast and Mid-Atlantic. Return a ranked outreach list of the top 30 targets as a PDF.

Search Dakota Marketplace for registered investment advisers and multi-family offices with AUM between $1B and $10B that currently lack a primary institutional portfolio reporting or performance attribution system, or are flagged as using legacy / manual processes. For each firm, return: firm name, city, total AUM, number of investment professionals, CTO or COO contact name and email where available, current technology stack or CRM noted in the system, and any recent firmographic changes (AUM growth, leadership change, new strategy launch) that signal readiness for a technology upgrade. Prioritize firms in the Northeast and Texas.

I sell compliance and regulatory reporting software to alternative investment managers. Using Dakota Marketplace, build me a prospecting list of hedge funds and PE funds in the United States that are likely to have increasing compliance burdens — specifically: funds that have filed a Form D in the last 24 months for a new fund raise over $100M, have AUM between $500M and $5B, and are unlikely to have a fully built-out compliance team (i.e., smaller organizations with 10–50 employees). For each firm, include the fund name, registered investment adviser name, AUM, key operations or compliance contact (COO, CFO, General Counsel, or Chief Compliance Officer) with email and phone, and number of Form D filings in the last 3 years as a proxy for growth. Prioritize firms that have filed multiple Form Ds recently — indicating active growth and rising compliance complexity.

Using Dakota Marketplace, identify registered investment advisers that: (1) have AUM between $500M and $5B (high-growth, scaling firms), (2) AUM has grown by more than 25% in the last reported period, (3) firm was founded or registered after 2015 (more likely to be on modern infrastructure), (4) have between 5 and 50 employees (lean teams most in need of automation), (5) are based in the US. For each result, show: firm name, AUM, AUM growth rate, registration date, headcount, city and state, Chief Compliance Officer name and email, CEO/Founder name and email, and any known technology partners or CRM systems in use. Sort by AUM growth rate descending — fastest-growing firms have the most urgent need for scalable compliance and reporting tooling.

Using Dakota Marketplace, identify single-family offices and multi-family offices with AUM over $500M that have added direct investment or co-investment capabilities within the past 24 months, as indicated by recent staffing changes (new CIO, Director of Direct Investments, or Portfolio Manager hired), and that currently use legacy CRM or portfolio reporting tools noted in their profile. For each prospect, show the firm name, city, AUM, key decision-maker name and title, email, technology stack notes if available, and a brief description of their direct investment focus (sector, stage, geography). I want to prioritize outreach to the 20 highest-fit offices for a pilot conversation. if available, and a brief description of their direct investment focus (sector, stage, geography). I want to prioritize outreach to the 20 highest-fit offices for a pilot conversation.

Using Dakota Marketplace and Form ADV filings, identify registered investment advisers managing private equity or venture capital funds that have grown their AUM by 50% or more in the last three years, now manage three or more active fund vehicles, and have fewer than 50 employees — a combination that signals reliance on legacy or manual fund administration infrastructure that cannot scale. For each prospect, provide: firm name, current AUM, number of active funds under management, employee headcount, primary strategy, headquarters city, and key operations or COO contact name and direct email if available. These are high-probability fund admin sales prospects — growing fast, multi-fund, and lean enough to evaluate and switch providers.

I sell a cloud-based LP communications and investor reporting platform to private equity and venture capital fund managers. My ideal customer is a GP that has grown past 3 funds under management and is still using Excel, email, and PDF attachments to deliver quarterly reports and capital call notices - a clear signal they need a modern reporting infrastructure. Using Dakota Marketplace, identify registered investment advisers that manage private equity or venture capital strategies, have AUM between $300M and $3B, manage at least 3 active fund vehicles simultaneously, and have between 10 and 75 employees. Filter for firms where the Form ADV shows growth - at least two new funds filed in the last 4 years. For each firm, show: firm name, AUM, number of active funds on record, employee count, headquarters city and state, key operations or technology contact (COO, CFO, or Head of Operations) with title and email if available, and any known existing technology vendors or CRM systems. Flag firms where a new fund was closed in the last 12 months and the employee count has NOT grown proportionally - those firms are likely under capacity strain and most receptive to automation. Return a ranked PDF of the top 30 prospects.

I sell fund accounting and portfolio analytics software to GPs in the $500M-$5B AUM range who are scaling beyond Excel and legacy systems. Using Dakota Marketplace, identify PE, VC, and private credit fund managers who: (1) have launched their second or third fund in the last 3 years, signaling growth and operational complexity, (2) have AUM between $500M and $5B, (3) have 5 or more active portfolio companies or investment strategies, and (4) are not already known users of institutional-grade fund administration software. For each, provide the firm name, AUM, fund count, primary operations or CFO contact with title and direct email, and any recent fundraising activity that suggests imminent operational scaling needs. Return a prioritized list of 40 prospects.

Using Dakota Marketplace, identify PE and VC fund managers that have closed a new fund in the last 18 months with a fund size between $200M and $1.5B. These GPs are actively scaling their LP reporting, performance analytics, and investor communication workflows and are high-priority candidates for a data and analytics platform. For each firm, show: firm name, fund name, close date, fund size, estimated number of LPs, key operational contacts (CFO, COO, Head of Operations, Head of Finance), and total firm AUM across all active funds. Flag firms managing two or more active fund vintages simultaneously — these GPs face the greatest reporting complexity and are most likely to be evaluating infrastructure upgrades. Also flag any firms that grew AUM by more than 50% in their most recent fund versus the prior vintage, as rapid growth typically triggers a technology review cycle.

I sell compliance and regulatory technology to registered investment advisers active in alternative investments. Using Dakota Marketplace, identify SEC-registered RIAs that manage private equity, private credit, or real assets strategies, have $200M to $2B in AUM, and either (1) newly registered with the SEC in the last 12 months, or (2) filed a Form ADV amendment in the last 6 months reflecting a change in custody, disciplinary disclosures, or assets under management growth of more than 30%. For each firm, show firm name, AUM, registration or amendment date, alternative-investment focus, employee count, and the Chief Compliance Officer's name and contact information if available. Flag firms with disciplinary disclosure changes as highest priority, since these typically face the most urgent compliance infrastructure gaps. Return a prioritized PDF prospect list of the top 30 firms I can hand to my sales team this week.

Using Dakota Marketplace, build a target account list of PE and VC firms likely evaluating or upgrading their portfolio monitoring and LP reporting technology. Filter for firms with 3+ active portfolio companies and AUM between $500M and $5B. Cross-reference against firms that closed a new fund in the last 24 months — these GPs are scaling LP bases and most likely in an active vendor evaluation. Flag firms with recent headcount growth in ops or finance roles.

Screen PE and real assets fund managers with AUM between $500M and $5B that are using a generic CRM (Salesforce or DealCloud) and are actively fundraising or completed a close within 24 months. Show CRM system, LP count, IR/ops contact, and flag firms with 40+ LPs on non-native platforms as highest priority.

I sell compliance and cybersecurity software to registered investment advisers and need a targeted prospect list. Using Dakota Marketplace, identify RIAs and alternative asset managers between $500M and $5B in AUM that have grown AUM by more than 30% or added ten or more employees in the last 18 months, based on Form ADV filing history. For each firm, show current AUM, AUM growth, headcount added, and the CCO or COO contact who would own a compliance software decision. Return a prioritized outreach list I can load into our CRM this week.

I sell portfolio monitoring and reporting software to institutional allocators. Using Dakota Marketplace, identify public pension funds and endowments with $1B-$10B in AUM that have 20 or more active external manager relationships across private equity, credit, and real assets. For each institution, show total AUM, number of active manager relationships, key investment operations or CIO contact with title and email, and any recent staff additions in investment operations or portfolio analytics roles that might signal a technology upgrade initiative. Flag institutions with a high manager count relative to AUM, since these are most likely straining under manual monitoring processes. Return a prioritized outreach list of the top accounts.

I sell compliance and cybersecurity software to RIAs and want to prioritize outreach to firms most likely to need an infrastructure upgrade. Using Dakota Marketplace, identify registered investment advisers with AUM between $500M and $5B that have added 3 or more new client accounts or grown AUM by more than 25% in the last 18 months per Form ADV data, and that do not have a dedicated Chief Compliance Officer listed separate from the CEO or founder. For each firm, show firm name, AUM, growth rate, number of employees, current compliance contact and title, and headquarters location. Flag firms that have had a recent SEC exam or enforcement action on record. Return a prioritized outreach list of the top 40 prospects as a PDF.

Using Dakota Marketplace, identify endowments and foundations with a publicly documented ESG or impact investing mandate that show signals of a legacy, manual reporting process, such as PDF-based or spreadsheet-tracked ESG reporting. Flag institutions that have recently added impact-focused board members or investment staff, since that signals active evaluation of new reporting infrastructure, and rank the list by outreach priority.

I sell compliance and regulatory reporting automation software to registered investment advisers. Using Dakota Marketplace, find all SEC-registered investment advisers with $1B to $5B in AUM that manage both public securities strategies and private fund vehicles (indicating Form PF and Form ADV Part 1A private fund reporting complexity). For each firm, show firm name, total AUM, number of private funds managed, current CCO or Head of Compliance contact with title and email, and the date of their most recent Form ADV amendment. Prioritize firms that have filed ADV amendments in the last 6 months, since that suggests active internal compliance changes and openness to new tools. Return a prioritized outreach list of 40 firms as a PDF I can hand to my sales team this week.

I sell outsourced fund administration and CFO services to emerging private fund managers. Using Dakota Marketplace, identify investment advisers that filed their first Form ADV registration within the last 6 months and are raising a Fund I with a target size between $50M and $500M. First-time registrants almost always run finance and reporting through spreadsheets and lack a scaled back office, making them ideal prospects for outsourced fund administration. For each firm, show firm name, registration date, target fund size and strategy, founder or CFO contact with title and email, headquarters location, and any known service providers already engaged (auditor, administrator, or legal counsel) if on record. Return a prioritized prospect list of 30 firms as a PDF I can hand to our sales team this week.

I sell compliance and regulatory technology software to RIAs. Using Dakota Marketplace, identify SEC-registered investment advisers with AUM between $750M and $5B that have grown AUM by more than 30% in the last two years, do not currently list a dedicated Chief Compliance Officer or compliance team on their Form ADV, and have not previously worked with a top-tier compliance consultant. For each firm, show firm name, AUM, AUM growth rate, headquarters location, current compliance contact if any, and years since their last ADV amendment. Return a prioritized outreach list of the top 30 firms most likely to need compliance infrastructure investment.

I sell a CRM and data platform built for institutional-quality investment operations. Using Dakota Marketplace, identify RIAs and multi-family offices with $2B-$15B in AUM that have added a Head of Operations, Director of Technology, or Chief Compliance Officer within the last 12 months, since new operations leadership often precedes a systems upgrade. For each firm, show AUM, headquarters location, the new hire's name, title, and start context if available, and the firm's current known technology stack if Dakota has it on record. Return a prioritized outreach list of the top 25 firms ranked by AUM, with the new hire as the recommended first point of contact.

I sell outsourced middle-office and fund accounting services to alternative asset managers. Using Dakota Marketplace, identify private credit and direct lending managers that raised a new fund vehicle or closed a first fund within the last 12 months with committed capital between $150M and $750M, and that do not currently list a dedicated COO or Head of Operations. For each firm, show firm name, strategy, new fund size, vintage, headquarters, founder/CIO contact, and any existing administrator relationship on record. Return a prioritized prospect list of the top 10 firms as a PDF, ranked by likelihood of needing scaled middle-office infrastructure, for this quarter's outbound campaign.

I sell ESG and impact investment data products. Using Dakota Marketplace, identify asset managers and allocators with AUM over $500M that have a documented ESG, impact, or sustainable investing mandate, or that have made a commitment to an ESG-focused or impact fund in the last 24 months. For each institution, show AUM, ESG/impact allocation focus, key decision-maker contact with title and email, and any recent public commentary on ESG or sustainability priorities. Return a ranked outreach list of the top 30 prospects I can use for our data product launch campaign.

I sell cybersecurity and compliance software to registered investment advisers. Using Dakota Marketplace's Form ADV data, identify RIAs and private fund advisers with AUM between $250M and $2B that have grown AUM by more than 30% in the past 18 months or newly registered in the past 12 months, and that do not list a dedicated Chief Compliance Officer or Chief Technology Officer. For each firm, show AUM, growth rate, registration date, and the most senior operations or compliance contact on record. Return a prioritized outreach list of the top 25 prospects as a PDF for this quarter's campaign.

Using Dakota Marketplace's new fund and Form ADV data, identify first-time or newly launched private equity and private credit funds under $500M in committed capital that registered or began raising in the last 12 months. For each fund, show the fund name, strategy, target size, GP contact with title and email, and whether a fund administrator is disclosed. Flag funds with no administrator on record as priority prospects. Return a ranked PDF outreach list for our sales team to prioritize this quarter.

Pull all private equity investment firms in Dakota Marketplace with $1-5 billion in AUM and 15-40 active sponsor-backed portfolio companies. Include firm operations or IT leadership contacts, current CRM platform if known, and recent fund closes indicating budget availability. Rank by portfolio company count and flag firms that closed a fund in the last 12 months as highest-priority prospects for a Q3 outbound campaign.

Pull all investment firm sponsors in Dakota Marketplace with $1B-$5B AUM that closed a new fund (per New Fund Data) in the past 12 months and show signs of scaling their investor relations function (multiple IR hires per career history/contact records). For each firm, include AUM, fund count, current IR team size and tenure, existing marketplace documents referenced (to infer current reporting tools/vendors), and firm contact details for the COO or Head of Operations. Rank the list by likely urgency of a reporting/LP portal upgrade and generate a 20-account target list with a tailored one-line pitch angle for each.

I sell treasury and cash management automation software to private equity and private credit GPs managing large uncalled capital balances across multiple funds. Using Dakota Marketplace, identify PE and private credit firms in North America with AUM between $1B and $10B that have closed a new fund in the last 18 months and manage 3 or more active fund vehicles simultaneously — these firms are sitting on the largest uncalled capital balances and manual cash management risk. For each firm, show firm name, AUM, number of active funds, most recent fund close date and size, CFO or Treasurer contact with title and email, and any recent finance team hires. Flag firms with more than 4 active vehicles as highest priority. Return a ranked outreach list of the top 30 prospects as a PDF.

I sell an AI-powered due diligence and DDQ automation platform to OCIOs and investment consultants. Using Dakota Marketplace, identify OCIO firms and consultants with $10B or more in assets under advisement that have conducted 15 or more manager searches or RFPs in the last 24 months, based on Dakota Search/RFP and Fundraising News data. For each firm, show assets under advisement, number of searches conducted, research team headcount if known, and the Head of Research or Director of Manager Research contact with title and email. Flag firms whose search volume grew more than 25% year-over-year as highest priority, since they face the most acute due-diligence bottleneck. Return a ranked outreach list of the top 20 firms as a PDF for our outbound campaign.

We want to get to newly launched fund managers before they sign with a legacy administrator. Using Dakota Marketplace, pull all new fund launches logged in the past 90 days for Fund I or Fund II vehicles under $500M across private equity, credit, and venture capital, and cross-reference against firm data to flag which sponsors show no existing administrator relationship on file. For each, include fund target size, strategy, launch date, and the CFO/COO or fund controller contact with direct email. Prioritize the list by fund size and recency of launch, and flag any firm that has raised a prior fund with a competitor's admin platform mentioned in Dakota's notes.

Search Dakota Marketplace for multi-strategy and credit-focused hedge funds that have crossed $1B in AUM within the last 12 months based on recent Form ADV or AUM updates. Filter out firms with a known existing relationship with a major fund administrator. For each remaining firm, pull the COO/CFO contact, current headcount signals, and fund structure details. Rank the list by AUM growth rate over the last 4 quarters so I can prioritize outbound calls to funds most likely to be evaluating outsourced middle-office and fund administration providers before they scale up an in-house team.

We sell cybersecurity and compliance software to RIAs and want to get ahead of firms newly subject to SEC cyber disclosure requirements. Using Dakota Marketplace, identify RIAs that crossed $1B in AUM in the last two quarters based on recent Form ADV updates and do not show an existing enterprise compliance or cybersecurity vendor relationship in Dakota's notes. For each firm, include AUM, headquarters state, headcount if available, CCO or COO contact with title and email, and any recent SEC exam or deficiency signal noted in Dakota's data. Rank the list by AUM growth and recency of threshold crossing, and return a PDF outreach list of the top 20 firms for our sales team's next campaign.

We sell an LP reporting and investor portal platform. Using Dakota Marketplace, identify private equity and private credit funds that closed a new fund (Fund I through Fund III) in the last 6 months with a fund size between $150M and $1B, and cross-reference against firm data to flag which sponsors show no existing investor portal or reporting technology relationship noted in Dakota. For each firm, include fund size, close date, strategy, CFO or Investor Relations contact with direct email, and LP count if available. Rank by fund size and recency of close, and return a PDF outreach list of the top 20 firms for our sales team's next campaign.

I sell a manager research and portfolio analytics platform to institutional allocators. Using Dakota Marketplace, identify public pensions, endowments, and foundations with AUM over $2B that have added a new Director or VP of Manager Research / Investment Research role in the last 9 months, based on Dakota's contact and career history updates, a signal of team expansion and potential tooling budget. For each institution, include AUM, the newly hired contact's name, title, and start date, current allocation focus areas, and any noted use of a competing analytics platform. Rank by AUM and recency of hire, and return a PDF prospect list of the top 20 institutions for our sales team's outbound campaign this quarter.

Using Dakota Marketplace, identify RIAs and wealth management firms with $500M+ in AUM that have added three or more new alternative investment fund relationships (private equity, private credit, or real assets) in the past 12 months. For each firm, show total AUM, number of new alts relationships added, the specific funds/managers added, and the most senior operations or technology decision-maker's name, title, and contact info. Flag firms currently using a legacy or manual reporting process based on any notes in Dakota's data. Rank by pace of alts adoption and return a PDF prospect list of the top 20 firms for our sales team's outbound campaign this quarter.

Using Dakota Marketplace, identify single- and multi-family offices with $1B+ in AUM that have made three or more direct co-investments or direct deals in the past 18 months, a signal of increasingly complex cash flow and capital call management needs. For each family office, show AUM, number of recent direct deals, investment focus areas, and the CFO, CIO, or Head of Operations contact with title and email. Flag any noted as still using manual or spreadsheet-based treasury processes. Rank by deal velocity and AUM, and return a PDF prospect list of the top 20 family offices for our sales team's outbound campaign this quarter.

Using Dakota Marketplace, identify public pension plans, endowments, and foundations with $3B+ in AUM that have added a Director or Head of Operational Due Diligence, Risk, or Cybersecurity role in the past 12 months based on Dakota's contact and career history data. For each institution, include AUM, the newly hired contact's name, title, and start date, prior firm, and any notes indicating they currently use a legacy or manual ODD process. Rank by recency of hire and firm AUM, and return a PDF prospect list of the top 20 institutions for our sales team's outbound campaign this quarter.

We sell outsourced compliance and regulatory services to investment firms, and our best-converting signal is a firm that just opened a new office. Using Dakota Marketplace, build me a prospect list of investment firms that added an office in the trailing 18 months. For each firm, give me the firm name, headquarters city, the new office location, AUM, total firm headcount, and the number of in-house compliance staff including whether they run an outsourced CCO model today. Rank the list by jurisdictional complexity, weighting cross-border expansions far more heavily than domestic second offices, since a new regulatory jurisdiction triggers local registration, a distinct marketing regime, and substance requirements on a fixed clock. Explicitly separate the firms with zero in-house compliance headcount, since those are displacement conversations rather than category-creation conversations and close faster. Then give me the named COO and CFO contacts at each firm, not just the CCO, because that is who owns the budget and feels the expansion risk most acutely.

Using Dakota Marketplace, build me a channel partner pipeline of firms that sit between fund managers and investors and could refer or embed our LP portal and reporting platform across their client base. Include placement agents, third-party marketing and distribution firms, capital introduction groups, fund marketing and IR consultancies, outsourced IR providers, and fractional CFO and fund operations advisory firms serving emerging managers. For each firm give me firm name, headquarters and additional offices, firm type, year founded, team size, estimated number of active GP clients, the strategies and fund sizes they typically represent, geographies covered, whether they work with first-time funds, whether they offer any technology or reporting service today, and any existing software or fund administration partnerships they have disclosed. Flag firms that have recently expanded headcount, opened a new office, or added a private wealth distribution arm, since those are the ones building out infrastructure. Give me the founder or managing partner plus the head of operations or client service at each firm with titles, emails, and direct lines. Then rank the list by referral leverage - number of GP clients multiplied by fit with our sub-$1B fund sweet spot - and tell me which 10 to approach first and what the natural hook is for each.

Using Dakota Marketplace, build me a fund administration switching-signal prospect board. Filter to U.S. private markets managers with $300M-$5B AUM across private equity, private credit, real estate, and venture. Score each on trigger-event density using the following signals: launched a new fund or vehicle type in the last 12 months (especially a first evergreen, interval, SMA, or non-U.S. vehicle), changed auditor, administrator, or custodian per Form ADV in the last 18 months, added a first CFO or COO, registered a new entity or added a new state or non-U.S. jurisdiction, or shows AUM growth above 30% year over year against flat operations headcount. For each prospect return AUM and growth rate, strategy, current administrator if known, the specific triggers detected with dates, estimated operations headcount, and the CFO, COO, and Head of Finance with direct emails and phone. Rank by trigger density and draft the specific first-line hook for the top six.

Using Dakota Marketplace, build me a prioritized outbound list of 14 private markets managers that are launching or have recently launched their first retail-accessible evergreen vehicle - interval fund, tender-offer fund, non-traded BDC, or evergreen private markets fund - and therefore need transfer agency, subscription processing, and wealth-platform connectivity they likely do not have in house. Prioritize firms with $1B to $20B AUM whose existing infrastructure was built for closed-end institutional funds only. For each firm return: firm name, HQ, AUM, primary strategy, new vehicle name and type, launch or filing date, current fund administrator if known, whether they have an in-house transfer agent, headcount in finance and operations, distribution channels targeted, and a fit rating of Strong, Moderate, or Low. Include the two best contacts - CFO, COO, Head of Operations, or Head of Product - with title, tenure, and email. Then group the list into immediate (vehicle live or effective within 90 days), near-term (filed but not yet effective), and watch tiers, and give me the specific pain point to lead with for each tier.

Using Dakota Marketplace, build a trigger-driven prospect list for a private funds insurance practice covering the trailing 30 days. Include new fund launches and first closes, newly SEC-registered investment advisers and recent Form ADV amendments, and sponsor-backed portfolio companies that closed a recapitalization, add-on, carve-out or growth round. For each record return the firm or company name, type, the specific trigger event with date, AUM or estimated revenue, any incumbent insurance broker on file, and the named CFO, COO or general counsel who owns the insurance decision with contact details. Prioritize records with no broker on file or an identified coverage gap, and flag any inherited policy with a known expiration date. Group the sponsor-backed companies by their owning sponsor and give me the operating partner and CFO-in-residence at each sponsor, so I can pitch a portfolio-wide program rather than a single placement.

Using Dakota Marketplace, build a territory-segmented prospect list of alternative investment managers that announced or closed a first or second fund in the last three quarters. For each firm return headquarters and US region, fund number, target and closed size, close status and date, strategy, current fund administrator if one is named, and the CFO or COO with contact detail. Flag firms that are self-administered or have no administrator named as highest priority, and separately flag anyone using a top-tier incumbent administrator as low priority. Then group by region so I can assign accounts to my territory reps.

Using Dakota Marketplace, build me an enterprise account map for the consultant and OCIO segment. I run enterprise sales for a document intelligence platform that automates manager research - DDQ ingestion, RFP response comparison, and quarterly report summarization - and my ACV runs $75K to $300K depending on seat count. Pull all U.S. and U.K. investment consulting firms and OCIO providers, and for each give me firm name, headquarters and office locations, total assets under advisement and assets under management, number of client relationships, the size of the manager research team with named research staff and their coverage areas, the approximate number of managers on their recommended or approved list, asset classes covered, and whether they run a discretionary OCIO book, a non-discretionary advisory book, or both. Include contact details for the Head of Manager Research, Chief Investment Officer, Chief Operating Officer, and any Head of Technology or Data. Score each account on likely seat count and research-volume pain, then segment into enterprise (10 or more researchers), mid-market (4 to 9), and low priority (fewer than 4). For the top 15 enterprise accounts, note any recent research-team hiring, new office openings, leadership changes, or coverage expansion I can use as an outreach trigger, flag which firms have a heavy private markets research load, and identify which firms serve overlapping client bases so I can sequence a referenceable land-and-expand plan.

Using Dakota Marketplace, help me build a renewal-risk and expansion-opportunity scorecard across our existing customer accounts. For each of our customer firms, pull the current firm profile and tell me what has changed in the last 12 months: total AUM and direction of change, headcount change, new strategies or funds launched, new office locations opened, senior personnel departures and arrivals in IR, distribution, operations and technology, fund closes completed, and any change in consultant or service provider relationships. Then flag each account into one of three buckets: EXPANSION for firms that grew AUM, added strategies, opened offices, or added distribution headcount since those likely need more seats or modules; RISK for firms with AUM decline, senior departures in our champion function, or a failed or stalled fundraise; and STABLE for everything else. For each flagged account give me the current decision maker and economic buyer with title and email, plus a one-line recommended play for the next QBR. Sort by contract value at risk or expansion upside, and call out any account where our internal champion has left and no successor has been identified.

Using Dakota Marketplace, build me a competitive displacement pipeline of private markets managers whose existing fund administration and investor portal relationship is most likely to be in play over the next two quarters. Focus on North American private equity, private credit, real estate, and infrastructure managers with $500M-$8B in AUM. Prioritize firms showing at least one displacement trigger: closed a fund in the last nine months (contract renegotiation window), hired or lost a CFO, COO, Head of Operations, or Controller in the last twelve months, roughly doubled AUM or fund count since their prior fund, launched a first vehicle in a new strategy or a first evergreen or semi-liquid structure, expanded into a new domicile requiring different reporting, or materially increased their institutional LP count where investor reporting demands step up. For each firm, show me: AUM and strategy mix, number of active funds and vehicles, current fund administrator and any other known service providers, the specific trigger event and its date, headcount in finance and operations, the CFO or Head of Operations with direct contact details, and the LP base composition. Score each account High, Moderate, or Low displacement likelihood based on trigger recency and stacking, then give me a ranked top fifteen with a tailored one-sentence opening hook for each that references their specific trigger event rather than a generic pitch.

I sell cybersecurity and compliance monitoring software to registered investment advisers. Using Dakota Marketplace, find all private equity, private credit, and hedge fund managers that newly registered with the SEC in the last 12 months or that show a Form ADV amendment indicating a recent SEC examination, with AUM between $500M and $5B. For each firm, show me: firm name, AUM, strategy, registration or amendment date, headquarters location, and the Chief Compliance Officer or Chief Operating Officer contact with direct email and phone. Prioritize firms that also show recent operations or compliance headcount growth as a buying signal, and build me a ranked outreach list of 40 firms sorted by registration recency and firm size.

We sell third-party valuation and NAV administration software to private fund managers. Using Dakota Marketplace, identify private equity and private credit firms with $250M-$2B in AUM approaching a year-end reporting cycle that show no existing valuation provider relationship noted in Dakota's data. For each firm, include AUM, fund structure, CFO or Controller contact with direct email, fund vintage, and any recent headcount or operations signals suggesting they're scaling their back office. Rank by AUM and recency of last fund close, and return a prioritized outreach list of the top 20 firms for our sales team to approach before year-end valuation season.

We sell investor portal and LP reporting automation software to private fund managers. Using Dakota Marketplace, identify private equity and private credit firms currently raising a new fund (Fund II through Fund VI) with a target size between $250M and $2B that show meaningful growth in institutional LP count compared to their prior fund, based on Dakota's tracked commitment activity. For each firm, show me: fund name and target size, prior fund LP count versus current fund's tracked LP count, current fund administrator if known, CFO or COO contact with direct email, and expected first or final close date if available. Prioritize firms where LP count is scaling fastest relative to their back-office headcount, since that signals the most acute reporting pain, and return a ranked outreach list of the top 20 firms sorted by LP-count growth rate.

I lead partnerships for a capital call and treasury management platform built for PE and VC managers. Using Dakota Marketplace, identify fund administrators and outsourced CFO/controller service providers serving alternative asset managers with $500M-$5B in AUM. For each, show the firm's client base size and typical client profile if available, headquarters, and the Head of Business Development or Partnerships contact with title and email. Prioritize providers whose client base overlaps with our current target account list rather than our existing customers. Return a ranked PDF of potential channel and referral partners with a one-line rationale for each.

I sell portfolio monitoring and data room software to venture capital firms. Using Dakota Marketplace, identify VC firms currently raising Fund III or later with a target size between $150M and $750M that show meaningful growth in institutional LP count compared to their prior fund, based on Dakota's tracked commitment activity. For each firm, show fund name and target size, prior fund LP count versus current fund's tracked LP count, current fund administrator if known, and the CFO or COO contact with direct email. Prioritize firms where LP count is scaling fastest relative to team size, since that signals the most acute portfolio monitoring pain, and return a ranked outreach list of the top 20 firms sorted by LP-count growth rate.

We sell operational due diligence and compliance workflow software to institutional allocators. Using Dakota Marketplace, identify public pensions, endowments, and OCIOs with $3B-$25B in AUM that actively commit to 15+ external managers across private equity, credit, and hedge fund strategies, and show no existing ODD software vendor relationship noted in Dakota's data. For each institution, show AUM, number of active manager relationships, current operational due diligence team size or structure if disclosed, and the Head of Risk, Compliance, or Operations contact with direct email. Prioritize institutions with recent manager roster growth or team expansion signaling heavier ODD workload, and return a ranked outreach list of the top 20 for our sales team to approach this quarter.

Search Dakota Marketplace for hedge fund managers launched or re-launched in the past 18 months with reported AUM under $500M across multi-strategy, equity long/short, or macro strategies. For each, pull: firm name, launch date, founder/CIO background (prior firm), current AUM, prime broker if known, and any Form D filings indicating an active raise. Prioritize firms with no listed capital introduction or placement relationship on file, and flag any founders who previously worked at firms with $1B+ AUM as higher-priority targets.

We sell CRM and reporting software purpose-built for investor relations teams. Using Dakota Marketplace's contact and position-change tracking data, identify investment firms with $500M-$5B in AUM that hired their first dedicated Head of or Director of Investor Relations in the past six months, where no such role existed previously. For each firm, show firm name, AUM, the new hire's name, title, start signal date, and prior firm if disclosed, plus the firm's current fund count and LP count if available. Prioritize firms currently raising a fund, since active fundraising increases urgency for better LP reporting tools. Return a ranked outreach list of the top 20 as a PDF for our sales team.

Using Dakota Marketplace, identify hedge fund and private equity firms that have closed a fund in the last 12 months with 30%+ of LP commitments from non-US investors (Middle East, Asia, or European institutional LPs), and that currently show no enterprise KYC/AML or investor onboarding platform in their tech stack. Include fund size, LP geographic mix, and compliance/COO contact. Rank the top 10 firms by non-US LP concentration and fund size to prioritize our outbound sequence this month.

Identify private equity and private credit fund managers that held a first close in the last 90 days on a debut or Fund II vehicle under $750M. For each, flag whether Dakota shows an existing fund administrator relationship. Prioritize managers with no identified fund administrator and no more than 15 employees, since they're most likely still running finance and reporting manually, and include the CFO or COO contact for outreach.

We sell portfolio monitoring and valuation software to private equity and credit fund managers. Using Dakota Marketplace, identify mid-market PE and credit funds within 90 days of their next fund's first close that show signs of spreadsheet-based, manual portfolio monitoring based on portfolio company count and operations team size logged in Dakota's data. For each firm, show the firm name, AUM, fund status, portfolio company count, and operations team size, plus the best contact for a demo (CFO or COO). Rank by adoption likelihood and return a prioritized list as a PDF our sales team can start working through this week.

We sell ESG and impact reporting software to asset managers. Using Dakota Marketplace, identify investment firms with AUM between $500M and $5B that have hired a Head of ESG, Director of Sustainability, or similar role in the last 12 months, based on role and position changes logged in Dakota's data. These firms likely need reporting infrastructure to support their new ESG function. For each firm, show the firm name, AUM, and start context if available, and the best contact for a demo (ideally COO or Head of Operations). Rank by AUM and return a prioritized outreach list as a PDF our sales team can start working through this week.

I sell LP portal and investor reporting software to private equity and real estate fund managers. Using Dakota Marketplace, identify PE and real estate fund managers with AUM between $500M and $5B that have closed a new fund in the last 18 months and show no indication of using a dedicated LP portal platform based on their investor communications. For each, show firm name, AUM, most recent fund size and close date, and the CFO or Head of Investor Relations contact. Rank by AUM and return a prioritized outreach list as a PDF our sales team can start calling through this week.

We sell an investor portal and IR CRM to private fund managers. New IR leaders usually review the tech stack in their first two quarters, so I want to reach them while they're setting their agenda. Using Dakota Marketplace's contact movement data, identify private equity, private credit, real estate, and hedge fund managers with $1B-$25B AUM that hired or promoted a new Head of Investor Relations, Head of Capital Formation, or Chief Client Officer in the past 120 days. For each firm, show: firm name, strategy, AUM, number of funds and estimated LP count, the new IR leader's name, title, start date, prior firm, email and phone, the fund administrator of record, whether the firm is currently fundraising (fund name, target, and months in market), and the known incumbent portal/CRM vendor if listed. Flag new leaders who came from a firm that uses our platform, since they already know the product. Add a Buying Window signal (High / Medium / Low) based on time in seat, active fundraising, and LP count growth, and draft a one-sentence personalized opening line for each.

Using Dakota Marketplace's investment firm and portfolio company data, identify U.S. private equity firms with at least eight active portfolio companies in a single vertical (business services, healthcare services, industrials, or consumer) that each have $50M-$500M of revenue. For each sponsor, return: firm name, AUM, most recent fund size and vintage, number of active portfolio companies by vertical, the portfolio companies acquired in the last 18 months (these are in their 100-day plans), and whether the firm has a dedicated operating partner or portfolio operations team, with the name, title, email, and LinkedIn of the operating partner responsible for procurement, value creation, or CFO networks. Also flag any sponsor that has announced a group purchasing, shared services, or portfolio-wide cost program. Rank the sponsors by the number of recently acquired portcos in one vertical and by the presence of a named operating partner, so our partnerships team can pitch a portfolio-wide rollout rather than one company at a time.

Using Dakota Marketplace, find 14 RIAs with $2B-$25B in AUM whose Form ADV amendments in the last 9 months show a new or changed qualified custodian (moved from one custodian to another, or added a second custodian). For each firm return: firm name, headquarters, regulatory AUM, 12-month AUM growth, number of advisors, custodian change (from -> to), ADV filing date, current portfolio accounting/reporting tool if known, the operations or technology decision-maker (name, title, email), and a buying-window signal (Hot / Warm / Cool) based on how recent the change was and whether they've also added headcount. Rank by buying window, then draft a two-sentence outreach hook for the top five that references their specific custodian move.

Using Dakota Marketplace, build a prospect list of institutional allocators most likely to buy a private markets portfolio monitoring and document-ingestion platform. Target endowments, foundations, public pensions, and single-family offices with an estimated $750M or more in private markets exposure but five or fewer investment staff, based on Dakota contact counts for investment titles. Estimate the number of active GP relationships from Dakota commitment and investment data. Calculate a 'funds per investment staffer' ratio and prioritize the highest ratios. For each allocator return: name, type, total AUM, estimated private markets exposure, investment staff count, estimated active fund commitments, funds per staffer, the CIO or operations lead to contact, and any recent operations, data, or technology hire. Rate each prospect High, Medium, or Low urgency and suggest an opening angle for the top five.

Using Dakota Marketplace, identify private equity, private credit, and real estate managers with $2B-$40B in AUM that have announced or filed a new evergreen, semi-liquid, interval, ELTIF, or offshore feeder vehicle in the last 9 months, or are raising from the wealth channel for the first time. For each firm, return: firm name, HQ, AUM, primary strategy, the new vehicle type and domicile, launch or first-close timing, current fund administrator (if disclosed in Form ADV), and the CFO, COO, and head of fund operations with titles, emails, and phone numbers. Score each firm's Opportunity (High/Medium/Low) based on whether their current administrator lacks evergreen or transfer agency capabilities and how soon the vehicle launches. Sort by opportunity score and draft a two-sentence outreach hook for the top five.

Using Dakota Marketplace, build me a list of 12-15 investment firms that are likely to need fund-formation counsel in the next six months. Include managers that (a) appear in Dakota's new fund data or fundraising news within the last 90 days but have no first close yet, (b) are launching a strategy outside their historical asset class, or (c) show Form ADV amendments adding new private fund entities, offshore feeders, or parallel vehicles. For each firm, show AUM, the new fund name, strategy and target size, fund number, domicile (Delaware, Cayman, Luxembourg), the General Counsel, CCO, and COO names and emails, and the outside counsel named on prior fund filings where available. Flag firms whose prior counsel is a direct competitor, firms with a recent GC hire, and first-time funds. Rank by mandate opportunity.

Using Dakota Marketplace, identify 15 US investment firms (private equity, private credit, real estate and venture) with $300M-$5B AUM that held a first close on a new fund between January and September 2026, so they will issue their first K-1s for that vehicle in Q1 2027. For each firm return: firm name, HQ, AUM, the new fund name, strategy, first close date and target size, number of funds now under management, current fund administrator and auditor if listed on Form ADV, and the CFO, Controller and head of fund accounting with email and phone. Flag firms that are raising their first institutional fund or adding a first parallel / offshore vehicle (more complex K-1 and K-3 reporting). Rank by tax complexity, mark each High / Medium / Low fit, and write a two-sentence opener for the top 5 that references their specific fund launch.

Using Dakota Marketplace and Form ADV data, identify SEC-registered investment advisers and private fund managers with $500M-$15B in regulatory AUM that are subject to the amended Regulation S-P requirements (written incident-response program, 30-day customer notification, and service-provider oversight). Prioritize firms with no CISO, Head of Information Security, or dedicated IT security title among their listed contacts, firms that have grown headcount or AUM more than 20% in the last two years, and firms that report custody of client assets or a large number of individual clients. For each firm return: firm name, HQ, regulatory AUM, number of clients, number of employees, firm type (RIA, hedge fund, PE, multi-family office), whether a security leader is on staff, and the CCO and COO contacts with email and phone. Assign a Strong / Moderate / Low readiness-gap signal and close with the top five firms to contact this week and a one-line, compliance-led opening message for each.

Using Dakota Marketplace contact and account data, find pensions, endowments, foundations, OCIOs, and investment firms with $5B+ in AUM that added a contact in the last 12 months with a title including Data Scientist, Head of Data, Investment Technology, Quant, AI, or Innovation. For each account, show account name, type, AUM, the new hire's name, title, start date, and email, the account's total number of data and technology contacts, the CIO or COO who signs off on purchases, and any research or data vendors they already use if known. Flag accounts that are building a team, with two or more data hires in 12 months. Rank the top 12 by team-build signal and AUM, and draft a one-sentence opening line for each that refers to the new hire's background.

Using Dakota Marketplace contact updates and firm data, find private equity, private credit, real estate, and hedge fund managers with $300M-$5B AUM that hired or promoted their first Head of Investor Relations, Head of Capital Formation, or IR Director in the last 6 months. For each firm show firm name, strategy, AUM, HQ, the new hire's name, title, start date, prior firm, email, and phone, plus the firm's current fundraising status (fund in market, target size, launch date) and the number of LPs recorded in Dakota. Flag firms with an active fundraise and 40+ LPs as highest priority. Rank the top 12 and draft a 3-sentence first-90-days outreach note for each new IR leader that references their fundraise.

Using Dakota Marketplace, identify 12-15 private markets investment firms with $1B-$25B in AUM that, in the last 12 months, acquired another GP, merged with another firm, or took a strategic minority stake from a GP-stakes investor or larger asset manager. For each firm, show firm name, HQ, AUM, asset classes, the transaction (counterparty, type, date), number of active funds and portfolio companies, and the most relevant buyers - COO, CFO, Head of Investor Relations, and Head of Portfolio Operations (name, title, email, phone). Note whether the firm has recently hired a Head of Data, Technology, or Fund Operations. Flag an Integration Pain signal: Strong (two firms with separate fund families now reporting to one LP base), Moderate (minority stake with new reporting obligations), or Low. Sort by signal strength and suggest a one-line opening angle tied to their transaction for each.

Using Dakota Marketplace new fund data, find first-time and second-time funds (private equity, venture, private credit, real estate) launched in the last 6 months with target sizes of $100M-$1B that have not yet held a final close. For each fund show: manager name, fund name, strategy, target size, amount raised to date, launch date, expected first and final close, fund administrator and fund counsel if known, and the COO, CFO, or General Counsel with contact details. Flag managers spun out of larger platforms (who may lack existing coverage) and those with institutional LPs that typically require GPL/D&O insurance in side letters. Rank by proximity to first close.

Using Dakota Marketplace, find investment firms with $3B-$40B in AUM that have closed a fund with an estimated 150 or more LPs since 2022, including GPs with wealth-channel feeder funds or evergreen vehicles that drive high LP counts. Keep firms that have a dedicated Head of Investor Relations, IR Director, or Client Service lead on staff. For each firm return: firm name, HQ, AUM, primary asset class, most recent fund name, size and close date, estimated LP count or LP mix (institutional vs. wealth), and the head of IR plus the COO or CFO with titles, emails, and phone numbers. Flag any firm that changed IR leadership in the last 12 months (new buyers re-evaluate vendors), and rank the list by likely annual meeting size so I can prioritize outreach before 2027 AGM planning locks in December.

I place GP management liability, D&O, and E&O insurance for private fund managers. Using Dakota Marketplace, find PE, private credit, real estate, and venture managers that either (a) held a first close on Fund I or Fund II in the last 9 months, or (b) are actively in market with a fund targeting $150M-$1.5B. For each show: firm, HQ, strategy, fund name and target size, close status and date, current AUM, number of investment professionals, the COO, CFO, or General Counsel with email and phone, and any recent Form ADV registration. Prioritize firms that recently crossed the SEC registration threshold or added institutional LPs, since those LPs typically require GPL coverage in side letters. Return the top 12 with a timing note on when to reach out.

Using Dakota Marketplace, identify private real estate managers (core, core-plus, value-add, and opportunistic) headquartered in North America with $2B-$30B in RE AUM that have European pension, insurance, or sovereign LPs in their current or prior two funds. Prioritize managers currently raising a new fund or open-end vehicle, those that recently added European LPs, and those without a dedicated Head of ESG or Sustainability in Dakota's contact data. For each manager, return: firm name, HQ, RE AUM, strategy, current fund in market, count of European LPs with 2-3 named examples, whether they have a sustainability or ESG lead (name and title if so), the COO or Head of Asset Management contact, and an ESG Reporting Pressure signal (High / Medium / Low). Rank the top 12 and draft a 3-sentence outreach email for the top manager that references their European LP base and the upcoming GRESB cycle.

Using Dakota Marketplace, find public pension plans, sovereign wealth funds, and endowments and foundations with $10B+ AUM that have adopted, piloted, or publicly discussed moving to a Total Portfolio Approach (TPA) or reference-portfolio framework, replacing strict strategic asset allocation buckets. Look for signals in board minutes, investment policy revisions, new CIO or Chief Risk Officer hires since 2025, RFPs for risk or portfolio analytics systems, and staff titles containing 'total portfolio', 'portfolio construction', or 'factor'. For each institution, return: name, type, AUM, TPA status (adopted, in transition, or evaluating), date of the triggering event, current risk or analytics provider if known, investment consultant, and the CIO, CRO, and Head of Total Portfolio contacts with emails. Rank by likelihood to buy a new risk and portfolio-construction platform within 12 months, and draft a tailored first-touch email for the top 3 that references their specific TPA milestone.

Using Dakota Marketplace, find private equity, private credit, and real estate managers that in the last 9 months either (1) closed a successor fund at least 50% larger than the prior fund, or (2) launched a new strategy or first-time fund in a new asset class. Limit to firms with $1B-$15B in total AUM. For each firm, return: firm, HQ, total AUM, the new fund and size, prior fund size and step-up %, close or launch date, and the CFO, COO, or General Counsel contact with title and email. Add a Coverage Signal column (Hot / Warm / Cool) based on step-up size and recency. Sort by Coverage Signal and include notes on how to frame a GPL / management liability limit review for the top prospects and which firms are likely mid-renewal.

Using Dakota Marketplace, identify 12 private equity, private credit, and real estate managers with $3-40B AUM that are most exposed to capital-call and distribution wire-fraud risk. Prioritize firms with 4+ active drawdown funds, LP bases over 300 investors or wealth-channel feeder / evergreen vehicles, recent fund closes (more LPs to onboard), and recent CFO, Controller, or Head of Fund Operations hires. For each firm show: AUM, number of active funds, estimated LP count, wealth-channel exposure, fund administrator (in-house vs. third party), recent finance/ops hires with names and start dates, and the best buyer contact (CFO or COO) with email and phone. Score each as Hot / Warm / Cool and write a one-sentence opener tied to the firm's specific trigger.

Using Dakota Marketplace, find alternative asset managers with $3B-$50B in AUM that have filed for, launched, or announced a first evergreen or semi-liquid vehicle (interval fund, tender-offer fund, non-traded BDC, non-traded REIT, or private wealth feeder) in the last 12 months, or that have hired a Head of Private Wealth or wealth distribution team in that period. For each, show vehicle type and status, current fund administrator if known, the COO, CFO, and Head of Private Wealth with contact info, and which wealth platforms or RIAs they are already working with. Rank the top 12 by launch timing and likelihood they need a new administrator, and give me a one-line opening angle for each tied to their launch.

Using Dakota Marketplace, identify private equity, private credit, and real estate managers with $1B-$15B in AUM whose fund administrator (as disclosed in Form ADV or Dakota service-provider data) was acquired by or merged with another administrator in the last 18 months. For each manager, return: firm name, HQ, strategy, AUM, number of funds, current administrator and the acquiring parent, date of the transaction, whether the manager is currently fundraising or launching a new vehicle, and the CFO, COO, and Controller with emails. Flag managers that are launching a new fund in the next 6 months, since new vehicles are when GPs most often re-bid administration, and rank the list by AUM so my team can start with the largest accounts.

Using Dakota Marketplace, find 12-15 private equity, real estate, and private credit managers with $500M-$5B AUM that are likely feeling K-1 pain right now. Prioritize managers that in the last 18 months have opened a fund to RIAs or wealth platforms, launched a feeder or evergreen vehicle, or added multiple family office LPs, since each of these multiplies K-1 volume and state composite filings. For each manager, show AUM, strategy, number of active funds, recent wealth or feeder vehicle launches, the CFO or head of fund finance, and their current fund administrator if known. Score each on likelihood of needing a new tax provider for the 2027 filing season and suggest an opening line tied to their specific trigger.

Using Dakota Marketplace, build a prospect list of 12 US private equity and private credit managers ($2B-$25B AUM) with at least 15 active portfolio companies whose current LP base includes allocators with formal climate requirements, such as US public pensions with net-zero commitments, European pensions subject to SFDR reporting, or allocators that require climate data in their ESG DDQs. For each manager return: firm name, primary strategy, AUM, number of active portfolio companies, the climate-mandated LPs in its most recent fund, the reporting trigger (e.g., LP net-zero target year, SFDR Article 8 feeder, California climate-disclosure exposure through portfolio companies), whether it already has a named head of ESG or sustainability, and the best buyer contact (COO, CFO, or head of ESG) with email and LinkedIn. Score each Hot / Warm / Cool on urgency and close with priority notes on sequencing outreach before 2027 LP reporting cycles.

Using Dakota Marketplace, find US-based private equity, private credit, and real estate managers with $1B-$8B in AUM that have (1) launched or closed a fund in the last 18 months with a parallel offshore feeder, (2) added non-US LPs (sovereign wealth funds, Middle East or Asian pensions, European insurers) or US tax-exempt LPs such as endowments and foundations to their latest fund, and (3) are in market now or expected to launch within 12 months. For each manager, return: firm name, HQ, AUM, strategy, latest fund name and size, estimated share of non-US LP capital, known fund administrator and tax provider if available, the CFO and Head of Tax or Fund Accounting with contact info, and the number of LPs in the latest fund. Rank by complexity of the LP base and flag managers whose current administrator does not offer in-house FATCA/CRS reporting.

Using Dakota Marketplace, identify private equity, infrastructure, and private credit managers currently in market with a fund of $300M-$2.5B that has held or is expected to hold a first close within the next 120 days. For each manager return: firm name, fund name, target size, amount raised to date, expected first close date, strategy, HQ, the share of known LPs that are public pensions, endowments, foundations, and insurance companies versus individuals and family offices, the top five named LPs, current fund administrator, and whether a subscription facility lender is already disclosed. Include the CFO and the head of fund operations with titles, emails, and phones. Prioritize managers whose disclosed LP base is at least 60% rated institutional investors (best borrowing-base quality) and who do not yet have a sub-line lender on record, and suggest a facility size equal to 15-20% of target commitments.

We're selling sponsorships for our April 2027 private markets allocator summit in Chicago, where 60% of registered allocators are Midwest public pensions, endowments and foundations. Using Dakota Marketplace, find fund managers currently in market (fund launched or first close in the last 12 months) whose investor base or target LPs skew toward those allocator types. For each manager show: firm name, AUM, fund in market with target size and first close amount, strategy, the number of Midwest pensions and E&Fs already in their prior funds, past conference sponsorships if known, and the head of IR or marketing (name, title, email, phone). Rank by fit for a $35K-$75K sponsorship package and suggest which package tier (Headline, Panel, Roundtable) to pitch to each.

Our investment funds group wants to win fund formation mandates from spinout managers before they choose counsel. Using Dakota Marketplace's contact position-change data and new fund filings, find senior investment professionals (Partner, MD, Principal) who left a private equity, private credit or real estate firm with $2B+ AUM in the last 9 months and are now listed at a newly formed firm or a firm with no prior fund. For each, show name, former firm and title, new firm, strategy, HQ, any Form D or target fund size, co-founders, and email/phone. Flag teams with a Form D filed but no first close as 'Hot: counsel decision imminent', and give me a three-bullet outreach angle for the top 8.

Using Dakota Marketplace, find US-based private equity and private credit managers with $750M-$8B in AUM that are actively fundraising (fund in market or closed in the last 12 months) and whose LP base, based on Dakota's LP commitment data, includes at least 5 public pensions, endowments or foundations that endorse or require ILPA reporting templates. For each manager, show: firm name, strategy, AUM, current fund and target size, number of ILPA-endorsing LPs in their base, current fund administrator (if known), whether they administer in-house, and the CFO / COO / Head of Investor Relations (name, title, email, phone). Flag managers with a new fund over 2x the size of their prior fund, since they will face more LP reporting demands. Rank by likely urgency to upgrade their reporting stack.

I'm a Business Development Director at a third-party AIFM and ManCo provider based in Luxembourg and Dublin. Using Dakota Marketplace, build a target list of 20 US and Canadian fund managers that (1) have begun marketing to European allocators in the last 12 months (new European LP commitments, Dakota meetings logged with European investors, or fund registrations), (2) have $1B to $10B in AUM, (3) are raising a fund of $300M+ in strategies suited to AIFMD (private credit, infrastructure, real estate, buyout), and (4) do not currently list a European AIFM, ManCo or depositary relationship. For each, show firm, AUM, strategy, current fundraise and target, the European allocators engaged so far, the most senior IR or COO/CFO contact, the likely timing of their first European close, and a High/Medium/Low priority. Flag any manager that already has a ManCo relationship with a competitor of ours, and finish with the top 5 to call this week with a suggested opening angle for each.

I lead sales at a fund administration and investor portal software company. Using Dakota Marketplace, find private equity and private credit managers with $500M-$3B AUM that launched a new fund or held a first or final close in the last 6 months, and where Dakota shows no named fund administrator or an administrator relationship older than 7 years. For each firm show fund name, size, strategy, close date, current administrator if known, number of LPs, number of investment professionals, Head of Operations or CFO contact and Head of IR contact, and a likelihood score for a vendor evaluation in the next two quarters. Rank by fit and write a one-line opener for each that references the new fund.

Using Dakota new fund data and Form ADV filings, find 10 investment managers with AUM growth above 25% year over year that have launched or are raising a new fund and run small operations teams. For each, show strategy, HQ, AUM and growth, new fund size, operations headcount, the likely buyer (CFO, COO or Controller) with name and title, and a fit rating for a portfolio monitoring and fund administration platform. Recommend the entry point for the top three accounts.