The wrong shape
Agents answer in their own format. The company reports one way, your IC evaluates another, and the output matches neither, so the team rebuilds it by hand.
INVESTMENT TEAMS
Diligence thatarrives IC-ready
Generic AI agents analyze a deal in their own format, with no way to verify a number. Fundrev reads the data room the way your committee reads a deal: every figure mapped to source, the model built as it reads, and the output in the structure your IC already uses.
The Problem
AI analysis you can’t take to IC
Deal teams race the clock with limited people, and the AI tools they’ve been handed produce work that doesn’t survive committee scrutiny.
Numbers without an audit trail
A figure with no source is a liability at IC. Most AI output cannot show where a number came from or whether it was verified.
The outside view gets squeezed
Market fragmentation, competitors, the real size of the opportunity: the outside-in work is the first thing cut when the data room lands.
What Fundrev does
Reads the entire data room in hours
Every data point mapped and verified to source
Models and IC memos in your committee’s format
Commercial diligence from alternative and public data
How We Work
From data room to IC
Winning deals takes speed without cutting corners: reading everything, verifying every number, and seeing the market beyond the data room.
That is why we built Fundrev: one platform that runs diligence from data room to committee, so the team spends its time on judgment, not assembly.
Our AI-native platform maps every data point to its source document, so the whole case is auditable at IC.
01
Ingest the whole deal
Point Fundrev at the data room and it reads everything: contracts, financials, customer data, and the fine print, in hours, not weeks.
Every fact is extracted and linked back to the source page, so the team works from one organized, searchable view of the deal.
02
Build the model your IC expects
The data model is built as Fundrev reads, quality-of-earnings-style: individual data points mapped, verified, and reconciled to how the company actually reports.
Outputs land in the structure your committee already uses: the operating model, the analyses the IC asks for, and the memo drafted with every claim cited. Cohorts, concentration, and margin bridges are stress-tested against your thesis, and risks are flagged as they surface, not the night before IC.
03
Add the outside view
Alongside the data room, Fundrev works the public and alternative data: what the company actually does today, how fragmented the market is, and how large the open opportunity really is.
Commercial diligence lands with the financial and operational work, down to the customer touchpoints worth reaching, so the IC sees the whole picture, inside and out.