
Instrument existing factory robots and their workcells with suitable vision and other sensors. Capture robot-native observations alongside available controller and process signals, without assuming one retrofit fits every machine.
Work with factories, OEMs and integrators on new robot deployments so sensing, data interfaces and evaluation needs are considered as the cell is designed.
Vision and task-relevant sensing at the robot, tool and workcell.
Time-aligned robot actions, observations and available process context.
Ingest, synchronize, quality-check, label and prepare task-relevant datasets.
Support factory insight, model evaluation and carefully gated autonomy work.
Real-time cycle activity, timestamps and process variants for better investigation and higher line uptime.
Use multiple observations to measure visible defects or deviations, with richer context from real-world data.
Define sourcing, ownership, permissions, usage and revenue sharing upfront so data assets remain valuable as models improve.
Understand real operations, environment variations and edge cases.
Turn observations into structured datasets and task definitions.
Deploy models in supervised or shared-control modes.
Progress to higher levels of autonomy as data, safety and reliability targets are met.
For validated workflows, XPHI envisions outcome-based pricing where customers subscribe to autonomous task execution rather than just hardware, creating long-term value from continuously improving models.

