Check your own stack first
Hierarchical Perception
Flat object lists drop what they have not seen before. This demo abstracts each detection up a semantic taxonomy to the most specific level it can safely justify, and cross-checks it with an independent segmentation path.
Digital Twin Perception
A perception stack that classifies each frame on its own is a snapshot machine with no memory. This project fuses several sensors over time into one persistent 3D driving context, where probabilistic and deterministic paths cross-check each other and static scene is separated from moving objects.
AI Maturity Matrix
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.
Humanoid Autonomy Compass
A humanoid robot on a shared floor needs different controls than an agent drafting copy. Derive the fitting oversight regime from three properties you can actually check, then turn that verdict into a compliance checklist you can export.
Perception Safety Evidence Gap Check
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.
Autonomy Governance Navigator
Find out in 90 seconds which governance tier your AI system requires.