All work
Trading & financial services AI Services September to November 2026 Ongoing

A self-hosted AI operating system for a venture capital fund

Roots Ventures wanted dealflow, inbox, documents and research in one place, grounded in the firm's own memory and deployed privately, without paying for a dealflow SaaS like Taghash. We are turning their proof of concept into a production system in three phases over eight weeks.

Roots Ventures· Venture Capital
8 wksProof of concept to production, 3 phases
PrivateSelf-hosted models; data stays in-house
6Workspace tools connected
OwnedCode owned by Roots at each milestone
Before

What they were running on

  • Dealflow spread across email, calendars and shared drives
  • Company research repeated for every new deal
  • Fund and LP reporting assembled by hand
  • A per-seat dealflow SaaS on the shortlist, holding the fund's data on someone else's servers
The problem

Why it had to change

A fund's edge is its judgement and its memory. Roots needed AI that could read its inbox, meetings and documents without handing them to a third-party SaaS, and that grounded answers in Indian sources such as MCA and SEBI filings.

What we built

The system, on their own server

Inflow OS: email, calendar, Meet and Zoom connected, so every deal is captured automatically

Deal and Research OS: company research grounded in MCA, SEBI, Traxn and Crisil data

Fund, LP and Market OS: portfolio and LP reporting

Self-hosted language models on infrastructure the fund controls

One owned system, so a separate dealflow subscription such as Taghash is not needed

Switchover

How it went live

Built from the fund's working proof of concept, so the team keeps using what works while each phase goes live.

What clients stopped paying for