Industries · Last updated Jul 2026

AI for private equity that reads the whole dataroom.

Your associates spend diligence weeks extracting numbers from PDFs and building the same models from scratch. We build AI that reads the full dataroom, drafts the analysis, and flags what a human needs to check.

AI workflows for ai for private equity

Due diligence automation across financial, commercial, and legal workstreams
Dataroom ingestion and structured extraction
LBO and returns model drafting from target financials
Portfolio company monitoring and board pack analysis
IC memo drafting grounded in source documents

Operational value

We've cut a diligence workflow from 3 months to 2 weeks. Our public library ships free runnable versions of LBO diligence, private credit underwriting, and portfolio monitoring stacks. Run one on a live deal before you pay anyone.

  • Diligence in weeks, not months
  • Every portfolio board pack read, every quarter
  • Associates on judgment work, not extraction

Questions about ai for private equity

How is AI used in private equity?

Four places today: diligence document review and extraction, model drafting from target financials, portfolio monitoring across board packs and management reports, and first-draft IC memos. The fund keeps the judgment. AI does the reading and drafting at scale.

Can AI really speed up due diligence?

Yes, materially. We cut one diligence workflow from 3 months to 2 weeks by having AI read the dataroom, extract the numbers, and draft the analysis while humans verified flagged items. The bottleneck moved from reading speed to decision speed.

Is a dataroom safe to run through AI?

With the right setup, yes. We build under NDA with locked-down environments, no training on your data, and fully local pipelines where documents never leave your machines. Access logs show exactly what was read and by which process.

What about hallucinated numbers in diligence?

Every extracted figure carries a link back to its source page, and material numbers get re-derived by an independent pass that must agree before the figure survives. Anything unverified is marked as such. A human clears every flag before the memo moves.

Do you work with mid-market funds?

Yes, that's the sweet spot. Mid-market funds feel the diligence squeeze hardest: lean deal teams, more deals screened, no internal data science group. A fixed-scope build that reads datarooms pays for itself inside one deal cycle.

Want this mapped to your operation?

Book a call and we will identify the first AI workflow worth shipping.

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