This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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.
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.
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?
About Colabra AI on Product Hunt
“Codex for M&A due diligence ”
Colabra AI was submitted on Product Hunt and earned 4 upvotes and 2 comments, placing #160 on the daily leaderboard. 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.
Colabra AI was featured in Productivity (661.2k followers), Investing (26.8k followers), Artificial Intelligence (479.1k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 294.1k products, making this a competitive space to launch in.
Who hunted Colabra AI?
Colabra AI was hunted by Aoi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Colabra AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Aoi
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.