Sources: OECD / Preqin, 2026 • MIT Sloan Management Review, 2025 • Vela et al., MIT/Harvard (2022) • EU AI Act Article 99
Independent, wherever AI shows up in your portfolio.
We give funds and their portfolio companies an independent read on whether AI is actually working, whether that's an early pilot or a fully deployed production system. Our assessments carry weight with LPs, boards, and regulators because we didn't build what we're grading.
Most firms investing in AI have no independent mechanism to verify the models they are funding actually perform as claimed. AI-native companies are raising at record valuations based on model performance claims no investor can independently verify. Post-close, portfolio companies are deploying AI at scale with no ongoing mechanism to prove it is working as intended.
At both ends of the deal, the same question goes unanswered: does the AI actually perform as intended, reliably and safely? That's the answer we provide.
Independent AI verification across the full deal lifecycle.
One repeatable framework, applied at every stage of the investment, instead of reinventing AI diligence deal by deal.
The same independent framework, whether you're assessing a target, monitoring a holding, or preparing to sell.
Pre-Investment Diligence
Independent model validation and performance benchmarking against vendor claims, before the term sheet, not after the write-down.
Post-Close Monitoring
Portfolio-wide visibility into every AI deployment across every company you own, drift detection and ongoing accuracy tracking that flags problems before they reach the board.
Exit Readiness
Audit trail completeness, governance documentation, and LP-ready reporting that turn AI performance into a value driver in the data room, not an open question a buyer's diligence team raises for you.
What sets us apart.
Independent by design. No conflicts.
AI Assurance is not affiliated with any AI vendor. Our assessment of a portfolio company’s model cannot be influenced by the company that built it.
When a vendor tells you their AI is performing, we tell you how well. That independence is what makes our performance evidence defensible to LPs, boards, and regulators.
Pre-investment diligence weights independent model validation and performance benchmarking against vendor claims. Post-close monitoring weights drift detection, ongoing accuracy, and portfolio-wide performance visibility.
Exit readiness weights audit trail completeness, governance documentation, and LP-ready reporting. The same framework, deployed at every stage of the investment lifecycle.
Real-time composite scoring across configurable evaluation windows, from 5 minutes to batch.
Alerts fire before downstream consequences occur, not periodic evaluations or quarterly attestations.
Reliability, trust, governance, and business value rolled into a single, board-ready scorecard. The framework executives have been asking for.
Independent evidence, built in.
EU AI Act, Articles 12 & 15
NIST AI RMF, MEASURE function
SOC 2 Type II
ISO/IEC 42001 & ISO/IEC 25059
ISO/IEC 23894, AI risk management
Ready to see where you stand?
Connect the AIA Index to a portfolio company's production model at no cost and no commitment. We populate a full performance scorecard across the composite scores and deliver a complete picture of how the AI is actually performing. You'll know if it's working. You'll know if it's not.
