Data sourced from Dakota Marketplace, the global LP and GP intelligence platform trusted by thousands of investment professionals. Learn More | Book a Demo
AI tools like Claude and ChatGPT can now connect directly to databases… and for anyone working in private markets, that's a major unlock.
But only if you're actually using it.
The professionals pulling ahead right now aren't waiting for AI to become part of their firm's official process. They're building it into their daily workflow today whether for meeting prep, prospect research, outreach, or competitive intelligence.
The difference between a generic AI tool and the Claude App connected to Dakota Marketplace is the difference between a guess and a grounded answer.
Generic AI has no access to 30 years of verified LP, GP, fund, and transaction data. It hallucinates. It generalizes.
Dakota Marketplace’s Claude App doesn't return rows. It returns intelligence, built on the only dataset built exclusively for the private markets community.
Here's what that looks like in practice, five things we learned today.
1. The Canada + Nordics Infrastructure Secondaries List
For: Directors of fundraising at infrastructure secondaries funds The Job: Mapping Canadian and Nordic pension plans with existing infrastructure secondaries exposure ahead of a $1.5B raise
The prompt
I'm raising a $1.5B infrastructure secondaries vehicle and want to prioritize Canadian pension plans and Nordic pension funds with existing infrastructure secondaries exposure. Using Dakota Marketplace, show AUM, infrastructure allocation target vs. actual, most recent secondaries transaction, and the relevant investment team contact for each.
2. The BDC Sub-Advisory RIA Home Office List
For: VPs of business development at private credit / BDC sub-advisory platforms The Job: Getting onto RIA home office approved lists by targeting firms with existing alts due diligence infrastructure
The prompt
I'm getting our BDC sub-advisory platform onto RIA home office approved lists. Using Dakota Marketplace, identify RIA aggregators and large independent RIAs ($2B+ AUM) with an alternatives due diligence committee and existing non-traded BDC or interval fund usage. Show the head of research or due diligence contact and any recent manager additions to their approved list.
These prompts are only as good as the data behind them. Every prompt above runs on Dakota Marketplace data: the verified contacts, AUM, investment preferences, and transaction activity that turn a generic AI answer into a real prospect list. Whichever AI app you use, the facts come from the same place. Book a demo of Dakota Marketplace to get connected.
3. The DFI and Development Bank Anchor List
For: Fundraisers at emerging markets private equity funds The Job: Identifying development finance institutions and multilateral banks likely to anchor an EM growth equity fund
The prompt
I'm raising a $500M emerging markets growth equity fund with an Africa and Southeast Asia focus. Using Dakota Marketplace and web research, identify development finance institutions, multilateral development banks, and impact-oriented foundations that have anchor-invested in similar strategies in the last three years. Show typical check size, ESG/impact reporting requirements, and the right first contact.
4. The Fund of Funds Re-Up Prioritization List
For: Directors of capital formation at private equity funds of funds The Job: Flagging existing LPs whose AUM or allocation growth signals headroom for a re-up before the next vintage
The prompt
We're raising our next fund of funds vintage. Using Dakota Marketplace, pull our existing LP base and flag any accounts whose AUM or alternatives allocation has grown by 15%+ since their last commitment to us. Show current allocation headroom, last commitment size and date, and the contact to approach first for a re-up conversation.
5. The Litigation Finance Education-First Target List
For: Heads of capital formation at first-time litigation finance funds The Job: Finding allocators open to an educational first meeting on an unfamiliar, uncorrelated strategy
The prompt
I'm raising a first-time litigation finance fund and most allocators haven't seen the strategy before. Using Dakota Marketplace, identify family offices and endowments with a documented allocation to uncorrelated or alternative credit strategies, or that have shown interest in niche/opportunistic credit in meeting notes. For each, show AUM, alternatives allocation, and the contact most likely to take an educational first meeting.
Start Prompting With Real Data
Here's the thing that makes these prompts work… on its own, AI is brilliant at structure and terrible at facts it doesn't have. Ask any chatbot for a pension fund's current allocation, a CIO's contact, or who actually owns a target company, and it will confidently make something up.
That's the whole reason these prompts run on Dakota Marketplace data, no matter which AI app you prefer: you get the speed and structure of AI with contacts, AUM, allocations, and transactions that are actually verified.
AI is the engine. Dakota Marketplace is the fuel.
Connect the two, in Claude, ChatGPT, or whatever you already use, and the work that used to eat your morning takes minutes, with data you can actually act on.
Book a demo of Dakota Marketplace to get started.
