Technical Due Diligence
Invest or partner with confidence. We validate AI claims against evidence—architecture, code, data, security, operating maturity, and unit economics—so you can act decisively and negotiate from strength.
- For investors, corporates, and boards in regulated contexts
- Covers Responsible AI controls and governance readiness
- EU AI Act and ISO/IEC 42001-style management systems
The Challenge
Limited time, vendor gloss, and unverified AI claims create uncertainty and deal risk. The failure mode is common: impressive demos, unclear ownership, hidden operational fragility, and economics that do not hold at scale.
Our Approach
A focused, evidence-based deep dive across code, infra, data, security, MLOps/GenAI operations, and governance. Findings are synthesized into a clear risk narrative (what matters, why it matters), with remediation priorities and an executable 30-60-90 day plan.
Key Outcomes
Core Deliverables
Diligence Report
A comprehensive assessment synthesizing all findings into a decision-ready narrative—covering thesis validation, material risks, and strategic considerations.
- Deep dive: architecture, code quality, data/ML maturity, security posture
- Assumptions, evidence, and what was not observable (explicitly stated)
Tier-1 Financial Services
The Context
Assessed critical risks in a core platform transformation to ensure scalability, security, and resilience.
The Outcome
Result: Identified critical latency and consistency gaps, preventing costly architectural debt and future rework.