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For private equity and M&A

Understand the whole deal before you make the decision.

Percidian connects every authorized document, model, message, finding, and relationship into one current, permissioned understanding of the transaction — for every AI system the deal team uses, from screening into ownership. The assumptions, risks, and commitments found before signing carry into ownership, attached to the agreement, the owner, and the evidence.

Deal-team and data-room boundaries applied per request · Every conclusion linked to the clause, range, or note behind it

From first look to ownership

Diligence that survives the deal.

Every stage below is the same clause. Nothing is rediscovered; nothing is re-entered.

  1. Screening

    The deck flags top-three customer concentration. The first view already carries the question: what do those agreements say about a change of control?

  2. Diligence

    Day 12: §14.2 of the largest customer agreement permits termination on a change of control. Logged as a risk — with the clause, the revenue it touches, and an owner.

  3. Investment committee

    The risk sits in the memo with its evidence and the model range it moves. The base case assumes consent; the downside case does not.

  4. Signing and closing

    Consent obtained. The condition, and the assumption behind it, are recorded against the decision that was made.

  5. Ownership

    Q3: the renewal review opens from the same record — clause, consent, assumption, owner — not by rereading the data room.

After close

Diligence that ends at close, and diligence that survives it.

Diligence that ends at close

  • Findings live in the data room and the memo.
  • Assumptions live in a workbook tab.
  • Risks are rediscovered at the first operating review.
  • The next add-on begins without the platform’s history.

Diligence that survives it

  • Findings stay attached to the agreement, the risk, and the owner.
  • Assumptions are recorded against the decision they supported.
  • The 100-day plan opens from the risk record.
  • The next add-on begins from the platform’s record.

Outcomes

See how every finding changes the deal.

Each source becomes reusable business understanding for every approved AI system the deal team uses — reducing repeated reading, duplicate model calls, and unnecessary token use across AI workflows.

Know what changed

Identify new files, revised terms, conflicting figures, and material updates since the last review.

Connect every workstream

Show when a legal, commercial, financial, tax, technology, or people finding changes another team’s analysis.

Trace every conclusion

Link investment claims and red flags to the exact agreement, model range, page, message, or meeting where the evidence appears.

Reuse prior experience

Bring permitted findings, questions, benchmarks, and outcomes from prior transactions into the current review.

Carry knowledge into ownership

Preserve the rationale, assumptions, risks, obligations, and commitments behind the deal.

Built on the available M&A ontology together with the Investment and Finance ontologies, extended by the firm’s own thesis, scoring framework, committee format, and sector vocabulary — without a separate model for every deal. Explore modular ontologies

The brief

Connect the red flag to its real economic impact.

Make every deal team smarter than the last.

Build a persistent, permissioned record of what the firm has learned and deliver it wherever investment decisions happen.

Bring your business into every AI decision

Give every approved AI system the context to do its best work.

Connect the knowledge your organization already has. Preserve what it learns. Apply the permissions it already trusts. Make that understanding available wherever people and agents work.

See it on your business.

A briefing mapped to your systems, your permissions, and one workflow that matters.

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