Service 06
Due Diligence IA
Most AI companies overstate their technical moat. As a former deep tech VC investor, I know how to separate real AI capability from well-packaged demos. I conduct technical due diligence for investors, acquirers, and boards evaluating AI-native companies.
The assessment covers four dimensions: technical architecture (is it real, scalable, and defensible?), team capability (can they actually build what they claim?), data assets (is the data moat real or easily replicable?), and operational maturity (can they deliver reliably at scale?).
The output is a structured diligence report with a clear risk matrix, technical debt inventory, and go/no-go recommendation. I've evaluated companies across semiconductors, computer vision, agent systems, and enterprise AI, from pre-seed to growth stage.
- Valutazione dell'architettura tecnica e matrice dei rischi
- Valutazione delle capacita del team
- Analisi del moat dei dati e della difendibilita
- Report di diligence strutturato con raccomandazione go/no-go
VC and PE investors evaluating AI deals, corporate M&A teams, boards assessing AI capability, and founders preparing for diligence.