Making every deal possible · AI workspace for M&A due diligence that turns data dumps into a clause-linked risk register, entity map, and live gap analysis.
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Introducing Colabra AI for buy side M&A diligence.
Turn a data room full of documents into source-linked diligence: organized files, missing evidence, extracted figures, and findings you can trace into a model or memo.
Know before you commit.
See it in action ↓
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A new look for Colabra, and a clearer view of what you can do with it.
Explore how deal teams turn evidence into source-linked findings, financial models, and investment memos, with practical workflows and updated product guides.
colabra.ai/?n
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New K-drama for deal teams: “Crash Landing on Clause 17”. A third-year associate, a PE VP and a client CFO stuck in the same data room, pretending they all agree what “market standard” means.
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Your smartest associates already use GPT all day. The real unlock is giving them structured context so the model stops guessing.
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Data dump 10pm. Issues list 9am. That’s Colabra.
→ Auto-categorized evidence
→ Live gap analysis
→ Extracted clauses across every contract
→ Flagged risks before you sign
→ Screened entities with full risk checks
Not another data room. See it in action ↓
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The future of buy-side DD isn’t “chat with your documents”. It’s persistent, clause-linked context that survives new uploads and new questions.
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The true end of a deal isn’t signing. It’s the day someone finally dares to close all the data-room tabs.
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AI doesn’t eliminate judgement. It eliminates the search cost to get to the judgement. The leverage is upstream, not downstream.
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Colabra sits next to your existing data rooms and tools. No migration, just a structured, AI-ready layer that makes the chaos legible. If you’re curious what that looks like on your next deal, DM us or grab a slot here colabra.ai/demo.
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Somewhere between the kick-off call and signing, “nice to have” questions quietly become “we absolutely must know this by tomorrow”.
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You don’t need a bigger model. You need consistent metadata. AI improves DD only once the foundation layers stop shifting.
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There is always one clause everyone remembers slightly differently. That clause will, inevitably, be the one IC asks about.
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We’re building Colabra as an AI workspace for DD teams, not an AI toy. Shared context, opinionated workflows, clause-level traceability. If that’s more interesting than another chatbot, DM us or grab a slot here colabra.ai/demo.
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The best AI output in DD is rarely a “summary”. It’s a delta: what changed across versions, what diverges across customers, what breaks in edge-case annexes.
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“Data dump 10pm. Risks list 9am.” isn’t marketing. It’s what happens when the risk view, entity graph and gaps update on every upload. If you want to test that claim on a real deal, DM us or grab a slot here colabra.ai/demo.
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You can tell where the real work happened by the number of unlabelled screenshots in the shared drive.
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We ship contract-family composites so you see the life of a relationship—MSA, SOWs, renewals, amendments—on one screen. Ideal feeding ground for AI and humans. If you’d like a walkthrough, DM us or grab a slot here colabra.ai/demo.
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Colabra’s entity & ownership map is built from filings, contracts and registers, then fed into sanctions/PEP screening. Structure first, checks second. If that beats your current patchwork, DM us or grab a slot here colabra.ai/demo.
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