ebook | May 15

The Layer That Was Missing From Private Market Data

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Overview

For years, you could find the fund, the LPs, the portfolio company, and the transaction. The one thing you couldn't find: who actually sits in the boardroom. We just opened that black box.

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Private markets have always been opaque at the governance layer. You can find a fund. You can find its LPs. You can find a portfolio company. You can find the transaction that brought them together. But who actually sits in the boardroom of that private company — the people making the real decisions — has lived in a black box.

We just opened it.

Dakota now tracks more than 11,000 directors at private companies, and the dataset grows every week. More importantly, it's connected. Every director is linked to the company they govern, the GPs invested in that company, the LPs backing those GPs, and the transactions that brought everyone to the table.

Most private market data is a list. Dakota is a graph. And we just lit up the layer that was dark.

Why This Changes What You Can Ask

Director data on its own is a roster. There are vendors who sell rosters. The Dakota difference is what happens when directors are fused with the rest of the private markets graph — and made callable through a single connector inside Claude.

That fusion is what changes the question set. Suddenly you're not asking who is on this board. You're asking who is on this board, what else are they on, who do they sit alongside, which LPs are one degree away, and what transaction history connects them all.

The answer to that question used to take a research team a week. It now takes one prompt.

The Dakota Graph: Five Connected Layers. One Private Markets Intelligence Engine.

01 — Limited Partners Institutional capital allocators

02 — General Partners Fund managers & sponsors

03 — Transactions M&A, financings, exits

04 — Companies 158,000+ private companies

05 — Directors (NEW) 11,000+ & growing weekly

Who This Unlocks: Six Audiences, One Connector, an Entirely New Question Set

Executive Search — Find operator-turned-directors by sector and adjacency.

Cross-reference every director with the PE firms they sit alongside, the companies they govern, and the LP networks one degree away. Board roles are leading indicators of CEO candidacy.

Private Equity — See who's actually in the room on a deal.

Map the real decision-makers at a target company and surface which of your existing LP and GP relationships already know them. Relationship paths, not cold outreach.

D&O Underwriting — Evaluate governance against capital structure in one pass.

Board composition, transaction history, and sponsor backing — historically three separate research efforts — now resolve as a single connected query.

Investment Banking — Map decision-makers across 158,000 private companies.

Build M&A target lists that go beyond press releases. Identify board-level relationships that signal openness to a process months before bankers usually see it.

Corporate Development — Pipeline against governance signals, not just financial filings.

Board turnover, new independent directors, and sponsor representation are pattern signals for upcoming liquidity events and strategic openness.

Wealth Management — Identify directors approaching liquidity events.

Private company directors are disproportionately UHNW. Map the ones connected to companies in late-stage sponsor cycles, and the prospecting list builds itself.

The Thesis

The engine is AI. The fuel is data. And the data is only useful when the layers are connected.

11,000 directors today. More every week. The graph keeps deepening.

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