Proof
/ Financial Services & Private EquityAI Technical Due Diligence for a Computer Vision Platform Investment
Business situation
A $3.8 billion private equity firm conducting buy-side due diligence on a computer vision platform handling 200K+ SKUs across multiple industries.
The challenge
The PE firm needed an independent, rigorous AI readiness assessment of the acquisition target before committing capital — covering code quality, model design, training practices, team structure, and cost optimisation opportunities.
Why it matters
Quantum Rise evaluated the code, model design, training, and team structure, flagged GPU and MLOps upgrade paths, assessed team risk, and delivered a comprehensive AI Readiness Report with a prioritised roadmap.
What Quantum Rise delivered
The QR/OS™ approach in practice
- • Evaluation of code, model design, training, and team structure • Identification of GPU and MLOps upgrade paths • Assessment of team structure and key-person concentration risk • Roadmap to improve tools, speed, and cost • Comprehensive AI Readiness Report identifying high-impact savings • Prioritised roadmap to de-risk technical debt and single-point-of-failure risks
Measurable outcome
$5+ million savings identified. Deal closed successfully.
Enabled the PE firm to proceed with confidence and a clear post-acquisition AI optimisation roadmap.
What became repeatable
A repeatable AI technical due diligence framework (AI Readiness Report) applicable to any PE acquisition target with AI-native technology at its core.
