An AI second brain for VC funds

The short version: a fund's knowledge is fragmented across inboxes, drives, portfolio reports, and people's heads. A private AI second brain pulls it into one place a partner can ask in plain language — and gets a sourced answer, not a guess.

The problem every fund has

Performance lives in spreadsheets and PDFs. LP terms live in email threads. Deal context lives in a partner's memory. Answering "what's our MOIC on Fund II?" or "who can intro us to this founder?" means pinging the team or digging through folders. The knowledge exists; it just isn't queryable.

What a second brain changes

A private AI deployed on the fund's own infrastructure connects email, drive, calendar and documents, and learns the fund's structure — vehicles, KPIs, LPs, portfolio companies. Then a partner can ask:

• Performance — "MOIC, IRR, TVPI, DPI across vehicles" — computed from your own data via deterministic tools, not pattern-matched.
• Pipeline & network — surface co-investors and the shortest intro path to a target.
• LP intelligence — who committed what, ticket sizes, and which LPs fit a new raise.
• Documents — capital calls, distributions, cap tables and KPI decks read and structured automatically.

Why "private" and "grounded" matter here

Fund data is sensitive and the numbers must be right. A second brain that runs on infrastructure you own keeps data in your perimeter, and grounding every figure in a tool result (not the model's imagination) makes answers sourced and defensible.

This is the difference between a generic chatbot and a brain that knows your fund. See askmii for VC funds or the FAQ.