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 New Rep Onboarding Package
For: Sales leadership at private credit and alternative investment firms The Job: Getting a new territory rep productive on day one
Prompt:
I run distribution for a large private credit firm. We are raising money for a direct lending strategy and are looking to target RIAs and financial advisors. I am onboarding a new teammate who will be covering the West Coast, specifically Oregon and Northern California. Help me create a target list for them. Who should they focus on, what is their TAM by major metro area, and what would be a good email template for them to start with? Create all of this using Dakota data and present me with a PDF I can share on their first day on the job.
2. The Coverage Gap Audit
For: Alternatives and institutional sales teams The job: Finding the accounts in your territory where you're flying blind
Prompt:
Search Dakota Marketplace for pension funds and endowments with AUM over $2B in [region] where I may not have a named CIO or head of alternatives. Show me every account in that universe with their current decision maker contact so I can compare against my CRM.
3. The Leadership Transition Tracker
For: Business development teams at investment managers and placement agents The job: Getting to new CIOs before they've built their manager relationships
Prompt:
Using Dakota Marketplace, show me public pension funds in the Northeast with CIO or senior investment leadership changes in the last 120 days. Flag vacant roles and recent new hires. Create a PDF.
4. The CIO Manager Landscape Review
For: Chief Investment Officers at pension funds, endowments, and foundations The job: Getting a structured read on the manager universe before making allocation decisions
Prompt:
I'm a CIO reviewing the PE strategies manager universe, all sizes, US-focused. Using Dakota Marketplace, surface managers currently fundraising, what peer institutions have recently allocated to in this strategy, and any managers appearing in multiple datasets as priority candidates. Include fee benchmarks and flag any outliers. Datasets: Form D, Public Pension Investments, Manager Presentations, Fee Studies.
5. The Prime Broker Prospect Finder
For: Prime broker sales representatives The job: Identifying the right-sized hedge fund and alternative investment manager prospects
Prompt:
Show me all hedge fund-focused investment firms and family offices in the New York City metro with AUM between $500M and $3B that have both hedge fund and private equity as investment preferences.
Start Prompting Your Claude 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.
