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Criticality comes from the trace model and describes the node's dependency importance.
Evidence comes from the canonical Vein Graph: AI assertions, user corrections, and external sources.
Completeness is a data-coverage label based on available summary, evidence, sources, tickers, and chokepoint rationale.
Dynamic claims are capped below 100% and AI-only edges remain labeled as inferred. Model: trace-score-v1.
Sensors, compute, maps, and validation for L2+ autonomy.
905nm and 1550nm LiDAR for ranging and object detection.
Single-photon avalanche diodes and timing ASICs for solid-state LiDAR.
77GHz front-end chips for adaptive cruise and emergency braking.
Drive Orin-class SoCs running perception and planning stacks.
Centimeter maps and RTK correction networks for urban robotaxi geofences.
Generated analysis — not investment advice.