Enterprise-Value & M&A AI Diligence
Price the AI in the deal — accurately, both sides.
Why this matters now.
AI claims now sit at the center of valuations, yet most diligence cannot tell a durable capability from a thin wrapper or a model nobody owns. Mispricing AI risk and upside means overpaying on the buy-side or leaving value on the table when you sell.
Our approach
We bring engineering depth to deal diligence: assessing model quality, data moats, IP ownership, technical debt, and the real cost to scale, then translating it into value-creation and risk terms an investment committee can act on. Run in coordination with our sister M&A firm Max Solutions, it supports buy-side diligence and sharpens the AI equity story on the sell-side.
What you get
- AI capability and technical due-diligence report
- Data moat, IP ownership, and model-risk assessment
- Value-creation thesis and integration considerations
- Sell-side AI equity-story narrative (when advising the seller)
Outcomes
- AI risk and upside priced into the deal with evidence, not assertions
- A buy-side view of what is real versus marketing in a target's AI
- A sharper, more defensible AI narrative when positioning to sell
Proof, on the way.
We hold this space for verified, client-approved outcomes rather than fill it with claims we cannot stand behind. Ask us for relevant references and a tailored walkthrough for your context.
How we engage
Scope
We align on the deal thesis and the AI claims that most affect value.
Examine
We assess models, data, IP, and engineering under the hood of the target.
Value
We translate findings into value-creation potential and quantified risk.
Advise
We brief the deal team with a clear, defensible position to act on.
Questions leaders ask us.
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Learn moreReady to move on Enterprise-Value & M&A AI Diligence?
Start with one conversation. We will frame the thesis, scope the system, and show you exactly how this engagement would run for your organization.