Technical Due Diligence (Autonomy & AI)

De-risking autonomy and AI investments with rigorous technical due diligence

FelixSchallerCOM provides independent technical due diligence for autonomy and AI systems, supporting private equity, corporate strategy, and M&A teams in making confident investment and acquisition decisions. I assess technology maturity, safety readiness, scalability, and execution risk, translating complex engineering reality into clear, actionable outcomes for stakeholders.

The result is a transparent risk picture with clear red flags, mitigation options, and a realistic view on timelines, cost, and scalability.

A complete due diligence toolkit for autonomy and AI

1. Architecture and system maturity review. Assessing autonomy stack design across perception, planning, and control, plus interfaces, bottlenecks, and technical debt.
2. Data and ML development assessment. Evaluating data strategy, labeling and QA, model training pipeline, monitoring, and performance constraints.
3. Verification and validation readiness. Reviewing test strategy, scenario coverage, simulation and HIL, metrics, and evidence quality for performance claims.
4. Safety and compliance gap analysis. Mapping readiness against ISO 26262, SOTIF, and cybersecurity expectations, including process and artifacts.
5. Roadmap, resourcing, and execution risk. Stress-testing timelines, team structure, key dependencies, and delivery feasibility based on engineering reality.
6. Findings report and decision support. Clear written output with risks, severity, mitigations, and a practical recommendation for next steps.

How we work

Document review, expert interviews, and technical artifact inspection, producing a defensible assessment within typical deal timelines.

1. Scoping and hypothesis setup. Align on deal questions, define evaluation criteria, and identify the critical claims to validate.
2. Evidence review and interviews. Review architecture, code and process artifacts, data pipelines, and test reports, and conduct targeted expert interviews.
3. Risk analysis and triangulation. Cross-check claims against metrics, test coverage, safety readiness, and operational constraints to surface hidden risk.
4. Report-out and recommendations. Deliver a concise report and live walkthrough: key risks, mitigation paths, and decision-relevant implications.