We design the collection protocol with your team at our facilities before scaling – iterating on task definitions, hardware configuration, and quality criteria in a controlled environment before operators go into the field.

Encord has thousands of trained operators available across kitchens, warehouses, offices, vehicles, and industrial settings – fully scalable to your volume requirements.

We run dedicated facilities with configurable pods for kitchen, laundry and industrial environments – all equipped with flexible LED lighting and a variety of teleoperation machines, including stationary and mobile leader/follower arms.

Every deployment ships with a tested hardware kit configured to your protocol – cameras, grippers, mounts, and synchronization. Base kit includes RGB-D stereo depth cameras with IMU and multi-camera sync, paired with UMI grippers. Higher frame rates and multi-finger capture hardware available for models that need it.

Collected data flows directly into Encord's platform – ready to filter, curate or route to human or model-assisted annotation. The ingestion work that costs most Physical AI teams weeks before labelling can begin doesn’t exist here.

Every model fails in the field eventually. When yours does, we capture those failure modes through remote teleoperation and feed them back into the data pipeline. And by updating collection and annotation policies to address them, we make your model reliable in deployment, not just in the lab.