Data infrastructure for robotics and autonomy
Fleet Learning Infrastructure for Physical AGI
Avala turns sensor data from robots, vehicles, and field systems into versioned training signal—connecting collection, curation, labeling, quality, delivery, and model feedback in one control plane.
One operating record connects sensor data, annotation decisions, quality evidence, dataset versions, and model feedback.
Built for Physical AI
One infrastructure across embodiments and environments
Bring the same governed operating model to robotics, autonomous systems, field data collection, and critical infrastructure.
The system of record between sensors and models.
Turn raw robot, vehicle, and edge-system recordings into versioned training signal—then connect model results back to the scenes that need the next round of work.
Automotive & autonomy
Move sensor data from road capture to traceable, model-ready releases
Agriculture
Turn field sensor data into traceable training releases for agricultural robots.
Energy
Turn inspection sensor data into traceable training releases for energy robotics.
Infrastructure
Turn asset sensor data into traceable training releases for infrastructure inspection robotics.
Build the loop
Make every dataset improve the next model.
Bring us your sensor stack, model workflow, and hardest data bottleneck. We will map the shortest path to a repeatable model-improvement loop.