Robotaxi and driver-assistance exposure split into perception, compute, mapping, simulation, and fleets. The same ticker can appear in more than one layer when its role crosses the stack. Identification, not recommendation. Archetype, not prediction.
A supply-chain view of the public companies operating in each layer, with live quotes and Veridion Score rendered below.
Lidar, camera, and sensing platforms used to perceive the driving environment.
Processors and automotive compute platforms used inside assisted and autonomous systems.
Mapping, geospatial, and localization infrastructure that supports fleet routing.
Simulation, synthetic training, and autonomy development infrastructure.
Public platforms operating ride-hailing, autonomy programs, or mobility fleets.
Lidar, camera, and sensing platforms used to perceive the driving environment.
Processors and automotive compute platforms used inside assisted and autonomous systems.
Mapping, geospatial, and localization infrastructure that supports fleet routing.
Simulation, synthetic training, and autonomy development infrastructure.
Public platforms operating ride-hailing, autonomy programs, or mobility fleets.
Constituent lists are reviewed against revenue mix, segment disclosures, filings, and stated capital plans. Quotes are sourced from licensed market data; the Veridion Score is computed from six published factors. Inclusion is not a recommendation.