TECH & IA3 octobre 2026· 16 min
AI Due Diligence: Complete Methodology for Investment Funds in 2025
A rigorous, step-by-step AI due diligence framework used by top-tier VC and PE funds to evaluate AI-native companies—covering technical stack audits, data moat analysis, model risk scoring, and actionable investment decision matrices with real case benchmarks.
SOURCES
[1]Cambridge Associates, 'AI Valuation and LP Sentiment Survey', Q4 2024
[2]McKinsey Global Institute, 'The State of AI in 2024: Data Assets and Model Performance Analysis', October 2024
[3]Stanford Human-Centered AI Institute, '2024 AI Index Report', Stanford University Press, 2024
[4]European Commission, 'EU AI Act Economic Impact Assessment: Compliance Cost Analysis for High-Risk AI Systems', DG CONNECT, 2024
[5]Bessemer Venture Partners, 'State of the Cloud 2024: AI-Native SaaS Metrics Benchmarks', BVP Research, 2024
[6]Google Cloud, 'MLOps: Continuous Delivery and Automation Pipelines in Machine Learning', Google AI Research, 2023
[7]PitchBook Data, 'AI & ML Venture Capital Report: Deal Activity and Valuation Trends 2023–2024', Q4 2024
[8]Weights & Biases, 'The 2024 AI Industry Report: MLOps Practices Survey of 1,200 ML Practitioners', 2024