Technical due diligence
AI systems assessment for M&A, private equity, and acquisitions.
The problem
Buying a company with AI at its core is a technical bet. The model might not perform as claimed. The training data might be tainted or unlicensed. The infrastructure might not scale. The team might not understand the limitations. An acquisition that looks strong on the pitch deck can unravel in production.
What we assess
We conduct independent technical diligence on the target's AI systems. This is not a code review; it is a risk assessment. We answer:
- Does the system perform as claimed? Can we reproduce the results?
- Is the training data clean, licensed, and defensible?
- Does the infrastructure scale to the revenue projections?
- Are there compliance or regulatory blockers (GDPR, AI Act, sector-specific rules)?
- What are the dependencies? Can the system run without the founding team?
What we deliver
A technical risk report for the acquiring party. We flag blockers (issues that prevent the deal), mitigants (issues that reduce valuation), and opportunities (technical assets that increase value). The report is written for investment committees and legal teams, not just technical readers.
Who we work for
We work for the buyer or investor, not the target. Our findings are confidential to the client. We have no stake in the outcome of the deal; we report what we find.
Engagement model
Timeline: 1–3 weeks depending on system complexity and data room access. Fixed fee quoted upfront. Deliverable: technical risk report suitable for investment committee review.
Related services: AI assurance · Fractional executive