Continuous collection loop
Use live deployment as an ongoing source of training and evaluation signal.
Telepath connects immediate operational output with long-horizon autonomy goals by turning daily robot operation into a continuous data engine for model development.
Use live deployment as an ongoing source of training and evaluation signal.
Leverage skilled operator traces to seed policy behavior and improve model robustness.
Tie data collection directly to capability milestones and release criteria.
The same deployment stack that runs tasks in production can generate structured data for long-term model progress.
Collection programs map to target capabilities so teams can prioritize data where model gains matter most.
Production-grounded traces help reduce generalization failures that appear when models move from lab to real workflows.
Teleop data captures expert behavior in real conditions, helping teams train and evaluate policies on scenarios that match deployment reality.
Yes. The model is built to deliver operational value now while continuously generating data for future autonomy milestones.
Start by defining one workflow, target capability metrics, and collection constraints. Telepath then scopes deployment and data delivery around that plan.