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 Japanese Life Insurer Alts List
For: Heads of international distribution at alternative credit and infrastructure debt funds The Job: Targeting Japanese life insurers building out foreign alternative credit allocations amid low domestic yields
The prompt
I'm raising capital from Japanese institutional investors for an alternative credit strategy. Using Dakota Marketplace and web research, identify Japanese life insurance companies (seihoken) with $20B+ in general account assets that have increased their allocation to foreign alternative credit or infrastructure debt in the last 3 years. Show general account AUM, current alternative credit allocation percentage, key investment contact (often via Tokyo office or through a sub-advisor), and any existing relationships with non-Japanese managers.
2. The European Pension Consolidator Infrastructure Debt List
For: Heads of international distribution at infrastructure equity and debt funds The Job: Targeting the UK's pooled Local Government Pension Scheme vehicles ahead of a UK raise
The prompt
I'm raising capital from European corporate pension capital for an infrastructure debt strategy. Using Dakota Marketplace and web research, identify UK and European pension consolidators and master trusts that have absorbed multiple corporate DB schemes and have a stated infrastructure or private credit allocation. Show total consolidated AUM, infrastructure allocation target, the fiduciary manager or investment lead, and any recent infrastructure debt manager selections.
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 Venture Philanthropy Foundation List
For: Fundraisers at mission-driven venture capital funds The Job: Identifying foundations with a venture philanthropy or mission-related investing program open to VC commitments
The prompt
I'm raising a venture fund focused on climate and health equity startups and want to target foundations with venture philanthropy or mission-related investing programs. Using Dakota Marketplace, identify foundations with $250M+ in assets that have a documented mission-related investing (MRI) or venture philanthropy allocation. Show AUM, MRI program size, program officer contact, and any recent commitments to venture funds versus direct grants or PRI loans.
4. The Multi-Strategy Hedge Fund Seeder List
For: Heads of capital formation at emerging hedge fund managers The Job: Identifying institutional seeders providing day-one capital for a first-time multi-strategy launch
The prompt
I'm launching a first-time multi-strategy hedge fund and need day-one seed capital. Using Dakota Marketplace, identify institutional investors, endowments, foundations, and family offices that have provided seed or anchor capital (revenue share or GP stake, not just an LP check) to emerging hedge fund managers in the last 3 years. Show typical seed check size, deal structure preference (revenue share vs. discounted fees), key contact, and recent seed investments.
5. The State Stabilization Fund Alts List
For: Business development teams at low-volatility credit and real assets managers The Job: Identifying state reserve/rainy-day funds that recently amended policy to permit an alternatives allocation
The prompt
Using Dakota Marketplace and web research, identify U.S. state stabilization, reserve, or "rainy day" funds that have amended their investment policy in the last 2 years to permit an allocation to alternatives or private credit. Show fund AUM, new alternatives allocation ceiling, the state treasurer's office investment contact, and any RFP or manager search activity tied to the policy change.
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.
