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 Tribal Gaming Trust Real Assets List
For: Fundraisers at real assets and infrastructure funds The Job: Identifying tribal gaming enterprise trusts with real assets allocation appetite
The prompt
I'm raising a real assets fund and want to explore tribal gaming enterprise trusts and tribal investment authorities as LPs. Using Dakota Marketplace and web research, identify tribal gaming enterprises and tribal trust funds in the U.S. with $500M+ in investable assets that have a documented real assets or infrastructure allocation. Show AUM, investment authority structure, key decision-maker contact, and any recent commitments to outside managers.
2. The Sovereign Wealth Co-Investment Program List
For: Managing directors at large-cap buyout funds The Job: Targeting SWFs with active direct co-investment desks rather than just fund commitments
The prompt
I'm raising Fund VII for a large-cap buyout strategy and want to prioritize sovereign wealth funds with active direct co-investment programs, not just LP commitments. Using Dakota Marketplace, identify SWFs with $50B+ AUM that have a dedicated direct investment or co-investment team, showing typical co-investment check size, sector preferences, the head of direct investments contact, and any recent co-investments alongside buyout sponsors.
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 Faith-Based Endowment Private Credit List
For: Heads of IR at private credit funds The Job: Identifying diocesan, denominational, and faith-based investment pools open to private credit
The prompt
I want to expand our LP base into faith-based institutional investors. Using Dakota Marketplace, identify diocesan investment pools, denominational pension boards, and faith-based foundations with $500M+ in assets that have a documented private credit or fixed income alternatives allocation. Show AUM, allocation percentage, CIO or investment committee contact, and any values-based investment screening criteria that would affect fit.
4. The Insurance PRT Block Private Credit List
For: Managing directors at investment-grade private credit managers The Job: Finding insurers with fresh PRT liabilities that need matching long-duration credit assets
The prompt
I'm raising for an investment-grade private credit strategy well-suited to matching long-duration liabilities. Using Dakota Marketplace and web research, identify U.S. life insurers that have closed a pension risk transfer (PRT) deal in the last 18 months, showing the PRT block size, current private credit and structured credit allocation, CIO or Head of Investments contact, and any recent manager additions tied to the new liability profile.
5. The Taft-Hartley Buyout List
For: Business development teams at large-cap and middle-market buyout funds The Job: Identifying multiemployer pension plans with existing buyout allocations ahead of a new raise
The prompt
Using Dakota Marketplace, identify Taft-Hartley multiemployer pension plans with $2B+ AUM that have a documented allocation to buyout or corporate private equity. Show AUM, current PE allocation percentage and target, the plan's investment consultant, key trustee or investment staff contact, and any recent manager searches or RFPs referencing buyout strategies.
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.
