Continuous production capture
Generate recurring data from real tasks instead of relying on periodic collection sprints.
Telepath turns daily robot execution into a repeatable production data program. Instead of occasional data captures, teams get continuous traces from real workflows and measurable delivery quality.
Generate recurring data from real tasks instead of relying on periodic collection sprints.
Scenario priorities come from actual workflow constraints and failure patterns, not abstract benchmark assumptions.
Delivery formats can align with existing ML pipelines so teams can move from ingest to training faster.
Programs run in environments with real production pressure, preserving behavioral signal that often disappears in controlled capture sessions.
Teams get clear visibility into collection scope, batch quality, and progress against capability targets.
Start narrow, validate quality, then expand by task class or facility while maintaining program consistency.
Most teams run weekly or bi-weekly drops aligned to training cycles, but cadence can be adjusted to your roadmap.
Yes. Once quality is validated in one facility, programs can expand across sites while preserving shared standards.
Collection scope and quality criteria are set before launch so deliveries remain targeted, usable, and tied to defined objectives.