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A venture studio built the knowledge graph BEFORE the AI agents

A KB-first build for a private investment firm. Models LPs, funds, portcos, and decision rationale before bolting on Lindy agents — exactly because a prior agent-first attempt had failed.

Industry
Venture Studio
Engagement
Build
Timeline
Multi-month build
Outcomes
Knowledge unlocked

The problem

A venture studio had previously tried a Lindy executive-assistant build that failed because there was no institutional knowledge graph underneath. The principal wanted the firm "AI native" — proper KB before agents. Need to model LPs, funds, portcos, ingest emails and meeting transcripts and data rooms, and extract investment decision rationale.

What we built

  • Knowledge graph foundation (final docs only — no draft noise)
  • Historical investment-decision extraction pipeline
  • Dashboard MVP in Replit
  • Staged plan to layer AI agents on top once the KB is solid

Stack

ReplitLindy (planned)Claude CodeKnowledge graph layer

Outcome

Active build. Several onsite working sessions delivered.

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