FastLabel begins building MW’s home-robot AI Data Factory
FastLabel started supporting MW with the design and setup of a large-scale data-production facility for MW bot and its residential foundation model.
Evidence notes
- The planned facility will recreate household work across dozens of task booths, including laundry, bathroom cleaning, bed making and kitchen tidying.
- Wearable direct-teaching systems will capture human demonstrations for robot training.
- MW is targeting 50,000 hours of data collection annually and 150,000 hours over three years.
Company overview
FastLabel develops data infrastructure and services for robot foundation models and VLA systems. Its robotics work spans teleoperated data collection, curation, annotation, DataOps and Data Factory setup, supported by OpenLUTRA and dedicated Physical AI facilities in Tokyo.