Colabra AI
Codex for M&A due diligence
7 followers
Codex for M&A due diligence
7 followers
AI workspace for M&A due diligence that turns sell-side dumps into source-linked findings, financial models, and investment memos for buy-side teams — not another data room.
Hi, I'm Philip, co-founder of Colabra.
A finding is only useful if you can check what supports it and carry it into the work your team needs to do.
That's what we're building with Colabra, and AI workspace for M&A due diligence that turns sell-side dumps into source-linked findings, financial models, and investment memos for buy-side teams.
Our latest product, Colabra AI, is a Codex/Claude Cowork-style harness built for M&A diligence. It's connected to the data room data, allows you to seamlessly cross-check all the information cited in final reports, and deterministically ensures that the AI agent considers ALL available data before it produces its answer.
If you work on acquisitions, I'd love to hear which part of your diligence process still needs the most manual cross-checking.
Hi, I’m Aoi, the other co-founder of Colabra.
We built Colabra because deal teams spend too much time piecing together information across spreadsheets, contracts, and reports to work out what they can rely on.
Due diligence requires understanding how the documents fit together. A single number in a financial model may depend on a customer contract, a later amendment, or supporting evidence that hasn’t been provided yet.
With Colabra AI, deal teams can now investigate a question across the entire data room and turn that analysis into custom financial models and investment memos they can check against the original documents.
I’d be interested to hear from people using AI for acquisitions today: how confident are you that your AI has considered all the relevant evidence before you rely on its analysis to make an investment decision?