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— Service detail · AI DD

AI Audit & Due Diligence

Independent, code-level technical truth for investors and acquirers. We validate the AI claims, assess whether the moat is real, surface the risks, and give you leverage at the table — before a significant investment in or acquisition of an AI company.

TimelinePer deal
ServiceAI DD

— Who it's for

Built for the leaders carrying the decision

Who it's for
  • VCs and PE funds underwriting AI investments
  • M&A and corp-dev teams acquiring AI companies
  • Boards and ICs needing technical truth before terms
Trigger symptoms
  • “The moat is the model” — and you need to verify it
  • A term sheet is imminent on an AI company or asset
  • Generalist diligence cannot read the codebase or models
  • Headline accuracy metrics need independent validation

— What we do

The engagement

We perform a code-level technical audit of the target: reviewing the codebase and model architecture, validating AI claims against the actual implementation, assessing the data moat and its legal cleanliness, and stress-testing the inference-cost economics and roadmap realism.

You receive an independent verdict — proceed, proceed with conditions, or pass — with a severity-rated red-flag report and deal implications you can take into negotiation. We are not selling the deal; we are telling you the truth.

— Deliverables

What you walk away with

AI Audit & Due Diligence · deliverablesAI DD
01
Codebase & model architecture review
02
AI claim validation vs. the marketing narrative
03
Data-moat, security & inference-cost margin assessment
04
Severity-rated red-flag report & deal implications

— Engagement terms

Timeline & what you provide

Timeline
Per deal

Scoped to the asset; turnaround set by deal timeline.

What you provide
  • Access to the target's codebase, models, and data room
  • The investment thesis and claims to validate
  • The deal timeline and decision deadline

— Decisions it enables

What you can decide afterward

— With this in hand, leadership can
  • Whether to proceed, re-price, set conditions, or pass
  • How the findings should change valuation or terms
  • Which technical risks to make closing conditions
  • What integration or remediation the deal requires

— Example outputs

See the artifacts this produces

Illustrative, redacted sample structures — not real client artifacts.

Sample

AI Due-Diligence Memo

The verdict-and-scoring memo this engagement produces.

View sample Sample

Essay: How to Tell Real AI From a Thin Wrapper

The thinking behind the diligence lens — what pitch decks hide and code reveals.

View sample

Book an AI Decision Call

30 minutes to scope a diligence on a live deal — or to see how the memo would read for an AI asset you're evaluating.

Book an AI Decision Call