AI Builder

A venture firm runs on judgment applied to too much information: thousands of companies, years of meeting records, signal arriving faster than anyone can read it. The partners didn't need a demo. They needed systems they could trust on a Tuesday morning, built by someone close enough to see how decisions actually get made.

An embedded builder who understands the investment motion ships things an outside vendor can't, because the feedback loop is internal. When the builder sits inside the workflow the system serves, iteration happens at the speed of a hallway conversation instead of a quarterly roadmap. That loop is the moat.

Four production systems, each built inside the workflow it serves:

1. A sourcing and scoring engine.Pulls from the firm's internal systems (CRM, email, meeting records, and similar) and scores opportunities against a taxonomy of 4,000+ companies. Surfaces what matters before anyone thinks to go look.
2. A tear-sheet engine for meeting prep.Walks into every partner meeting first. Compresses thousands of historical meeting notes into the two minutes of context that change how the conversation goes.
3. A traction monitor on a weekly cadence.Scans hundreds of companies every week for movement: hiring, shipping, raising. The partners stopped asking what's new and started asking what changed.
4. A verification layer.Catches hallucinated quotes and misattributed citations before anyone relies on them. Venture runs on trust, so the system that checks the system is the product.