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 Emerging VC Manager Sourcing Screen
For: Investment directors at family offices with dedicated emerging manager programs The Job: Sourcing new Fund I–III VC and growth equity managers currently fundraising with institutional validation
The prompt
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.
2. The Head of Private Markets Candidate Universe
For: Managing directors at executive search firms leading senior private markets searches at institutional allocators The job: Building a confidential candidate universe for a Head of Private Markets role at a large state pension
The prompt
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.
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 Cybersecurity Market Map
For: Managing directors at software-focused PE firms building a sector thesis and deal pipeline The job: Mapping the privately held cybersecurity software landscape by sub-sector, with recent fundraising activity and ranked thesis-fit targets
The prompt
I'm a Managing Director at a private equity firm 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.
4. The Territory Wholesaler Playbook
For: Wholesalers and regional distribution professionals taking over new territories at real assets managers The job: Building a TAM-by-metro view of RIAs with alternatives utilization and a prioritized first-call list for an interval fund
The prompt
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.
5. The Quant Hedge Fund Data Product Outreach List
For: VP-level sales professionals at alternative data and analytics platforms targeting quantitative and systematic hedge funds The job: Building a 50-firm cold outreach list of quant and systematic managers most likely to purchase data products
The prompt
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.
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.
