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 looked like in practice this week, five things we learned.
1. The GP Stakes / Minority Equity Capital List
For: CEOs and CFOs at mid-sized alternative asset managers considering a minority stake sale The Job: Identifying GP stakes investors as a source of firm-level, not fund-level, capital
The prompt
I run a $5B alternative asset management firm and our partners are exploring a minority equity sale to fund succession and growth initiatives, rather than raising a new fund. Using Dakota Marketplace and web research, identify GP stakes investors and permanent capital vehicles that have acquired minority stakes in alternative managers of our size in the last 3 years. Show typical stake size and valuation multiple, deal structure (passive vs. active), key deal-team contact, and recent transactions in our AUM range.
2. The Corporate Captive Insurer Private Credit List
For: Managing directors at investment-grade and structured private credit managers The Job: Identifying corporate-owned captive insurers, a balance sheet pool most fundraisers overlook entirely
The prompt
Using Dakota Marketplace and web research, identify large non-financial corporations with a wholly-owned captive insurance subsidiary holding $500M+ in invested assets. Show captive AUM, current fixed income and private credit allocation, the captive's investment manager or treasury contact, and any recent manager searches or RFPs.
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 German Versorgungswerke Infrastructure List
For: Heads of international distribution at infrastructure debt and equity funds The Job: Targeting German professional pension schemes, a distinct LP category from public and corporate pensions
The prompt
I'm raising capital from German institutional investors for an infrastructure strategy. Using Dakota Marketplace and web research, identify German Versorgungswerke (professional pension schemes for doctors, lawyers, architects, and similar professions) with €5B+ AUM that have a documented infrastructure allocation. Show AUM, infrastructure allocation percentage and target, the fund's investment director, and any recent commitments to non-German infrastructure managers.
4. The Fund-of-Funds DFI Co-Investment List
For: Heads of capital formation at emerging markets-focused funds of funds The Job: Identifying development finance institutions that co-invest alongside funds of funds, not just direct GPs
The prompt
I run a fund of funds investing in emerging markets private equity managers and want to identify development finance institutions that co-invest alongside funds of funds rather than only backing direct GPs. Using Dakota Marketplace and web research, identify DFIs and multilateral development banks with a documented history of co-investing with fund-of-funds vehicles in the last 5 years. Show typical commitment size, geographic focus, key investment officer contact, and any current open mandates.
5. The ILS / Cat Bond Fund LP List
For: Fundraisers at insurance-linked securities and catastrophe bond funds The Job: Identifying endowments and pensions with an uncorrelated strategies sleeve open to ILS as a diversifier
The prompt
I'm raising an insurance-linked securities fund positioned as an uncorrelated diversifier alongside hedge funds and private credit. Using Dakota Marketplace, identify endowments, foundations, and pensions with $1B+ AUM that have a documented allocation to uncorrelated or alternative risk premia strategies, or existing ILS/cat bond exposure. Show AUM, uncorrelated strategies allocation percentage, key investment contact, and any current ILS managers in their portfolio.
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.
