Technical due diligence for a Series A investment
A venture fund leading a Series A round in a B2B AI company needed an independent view of the technology before its investment committee met.
- Client
- A North American venture fund
- Industry
- Venture capital
- Engagement
- Project-based
- Duration
- 2 weeks
- Services
- Technical due diligence
The challenge
The target company claimed proprietary AI technology and enterprise readiness. The fund had ten business days before its investment committee and no in-house technical partner.
The approach
Reviewed the code and infrastructure directly
Assessed the architecture, code quality, cloud setup, and how much of the AI was proprietary versus third-party models.
Interviewed the technical team
Held sessions with the CTO and senior engineers on process, roadmap, and key-person risk.
Delivered a decision-ready report
Produced a risk register, an executive summary for the investment committee, and a 100-day plan for after closing.
Results
- business days from kickoff to report
- 10
- material risks priced into terms
- 2
- 100-day plan adopted post-close
- 1
The fund invested with two conditions tied to the findings: hiring a security lead and reducing dependency on a single model provider. Both were done within six months.
Technology
- Python
- Kubernetes
- AWS
- Third-party LLM APIs
- PostgreSQL
Have a technical decision you'd like a second opinion on?
Book a free 30-minute call. You'll leave with a clearer view of the problem, whether or not we work together.