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 Gulf Family Office PE List
For: Fundraisers at global mid-market buyout funds The Job: Diversifying beyond sovereign wealth funds into direct Gulf family office capital
The prompt
I'm raising Fund IV for a global mid-market buyout strategy and want to diversify beyond sovereign wealth funds in the Gulf. Using Dakota Marketplace and web research, identify UAE, Saudi, and Qatari family offices with $1B+ AUM that have made direct or co-invest commitments to Western private equity managers in the last 3 years. Show typical check size, preferred deal structure (direct vs. fund commitment), and the right principal or investment director contact.
2. The Donor-Advised Fund / Community Foundation Impact List
For: Heads of institutional relationships at impact-focused private equity funds The Job: Identifying community foundations and DAF sponsors with mission-aligned investing mandates
The prompt
I'm raising an impact-focused growth equity fund and want to target community foundations and donor-advised fund sponsors with a mission-aligned investing pool. Using Dakota Marketplace, identify community foundations with $500M+ in assets that have a documented impact or mission-related investing allocation. Show AUM, impact allocation percentage, CIO or Director of Investments contact, and any recent commitments to impact-focused managers.
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 Reinsurance Sidecar Private Credit List
For: Managing directors at structured credit and specialty finance managers The Job: Identifying reinsurers and ILS-adjacent balance sheets open to a sidecar or rated-note structure
The prompt
I'm raising capital for a private credit strategy structured as a rated-note or sidecar vehicle, and reinsurers are a natural fit. Using Dakota Marketplace, identify Bermuda and Cayman-domiciled reinsurers and ILS managers with $2B+ in invested assets that have existing private credit or structured credit exposure. Show invested assets, current allocation to private credit, CIO or Head of Investments contact, and any recent sidecar or rated-note participation.
4. The Pooled OCIO Endowment Consortium List
For: Fundraisers at growth equity and venture funds with sub-$15M check sizes The Job: Reaching sub-$1B endowments too small to commit directly, through the OCIOs that pool their capital
The prompt
Most of our target check sizes are too small for large endowments to write directly, so I want to reach them through pooled OCIO vehicles instead. Using Dakota Marketplace, identify OCIOs that manage pooled or commingled vehicles on behalf of multiple sub-$1B endowments and foundations, with a private equity or venture allocation. Show total pooled AUM, the OCIO's PE/VC research lead, and typical commitment size per underlying fund.
5. The Asian Regional Bank Private Credit List
For: Heads of international distribution at private credit managers The Job: Identifying Asian regional banks with balance-sheet capacity for direct lending participations
The prompt
I want to expand our LP base to include balance-sheet investors in Asia. Using Dakota Marketplace and web research, identify regional banks in Japan, South Korea, and Singapore with $10B+ in assets that have participated in direct lending or private credit club deals in the last 2 years. Show typical deal size, current private credit exposure, key contact, and whether they've partnered with a non-domestic manager before.
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.
