Eventual

Eventual analyses video and sensor recordings for teams building physical AI and robotics models, turning them into signals such as actions, contacts, trajectories and data quality. Teams use those signals to pick better training data.

Its models track what happens over time in video and telemetry, like a hand passing a screw to the other hand or tracked fingers bending unnaturally. You can search recordings with a plain description and jump to the exact moment in the source clip.

Signals can filter and select training data inside your own pipeline or serve as supervision targets, and they are versioned with each data release. The company publishes benchmark results against human-verified clips and offers a demo on your own data.