Independent risk evaluation for perception, localization, and sensor fusion stacks that have to survive both the real world and a certification audit.
Not in the feature list. In the assumptions nobody wrote down, the failure boundaries nobody defined, and the evidence nobody can produce when the assessor asks for it.
Self-assessments you can run yourself. No sales call attached, no email wall. If the result looks uncomfortable, that is the point.

Seven questions along the perception-to-release chain reveal where the evidence trail from your perception stack's failure modes to the safety goal is missing, without requiring ground truth.

Map your organisation's AI readiness against a model-based maturity matrix. Mark what you have, set where you want to go, and get a dependency-ordered roadmap plus a personalised report.

Find out in 90 seconds which governance tier your AI system requires.
Most perception stacks reason one frame at a time. The network detects, tracking is bolted on afterwards, and the system never really carries the world forward. A snapshot machine cannot validate cleanly, because the thing that would make its output trustworthy is the thing it discards between frames: continuity.
Gödel's incompleteness theorem, Hume's induction problem, the halting problem, and AI hallucination are not isolated failures of reason. They point to the same missing term: context.
Most ADAS perception stacks classify what they already know. The real world is combinatorial, contextual, and full of unknowns. Semantic fallback systems are needed when flat object lists fail.
More than 15 years in safety-critical software and autonomy programs, on top of a longer trajectory through computational graphics, SLAM research, and formal verification. My work covers robustness under real-world constraints, certification feasibility under ISO 26262 and ISO 21448, and the architectural boundaries of modern perception.
Autonomy systems rarely fail because a feature is missing. They fail because a structural constraint was never examined.
Localization, SLAM, sensor fusion, and safety-critical architecture, read at the level where the failure modes actually live.
Explicit assumptions, traceable decisions, defined failure boundaries. Everything else is opinion with a slide deck.
No tool to sell, no platform to defend. The evaluation says what it finds.
Thirty minutes, no pitch. Either there is a structural problem worth your time and mine, or there is not, and I will say so.