Collection mapped to model objectives
Programs start with capability targets and failure modes, then define scenario coverage to match those needs.
Telepath builds teleoperation data pipelines around your model milestones, so each collection cycle contributes to concrete performance gains rather than raw data accumulation.
Programs start with capability targets and failure modes, then define scenario coverage to match those needs.
Data arrives in repeat cycles with agreed quality checks and handoff formats for engineering teams.
As performance improves, pipeline goals can shift to the next bottleneck without rebuilding the whole program.
Pipeline design focuses on high-value traces and edge cases that move model behavior in production, not vanity capture totals.
Collection schedules and delivery cadence are coordinated with facility operations and model development timelines.
Teams get clear definitions for collection scope, QA ownership, and milestone reporting as programs expand.
Yes. Delivery can be mapped to agreed schemas and field requirements to reduce downstream transformation work.
Most programs begin with scope definition and workflow assessment, then move into initial collection in a matter of weeks.
Yes. Early-stage teams benefit from high-quality real-world demonstrations and exception traces that improve baseline policies faster.