Physical AI · Logistics & warehousing
Picking, packing and stocking, recorded on real floors.
Warehouse work recorded first-person and broken into the steps a warehouse robot has to learn.
Every warehouse is different.
Shelves, cartons and layouts change from site to site and shift to shift. Robots trained on one tidy set-up struggle on the next real floor.
Data samples
Check our data samples.
First-person video
Action labels
Hand and object marks
Bounding boxesSupported data types
What we capture and label.
- First-person video
- Wrist-camera video
- Action labels
- Bounding boxes
Proven in production
The standard every hour is held to.
- 1.8M
- Frames annotated in six months for one robotics lab
- 100%
- Of recorded hours reviewed by a person
- 98%
- Labelling accuracy with human-in-the-loop checks
- 4
- Consent languages: Arabic, English, Filipino and Urdu
Other physical AI verticals
What kind of data do you capture?
First-person video of real work: picking, packing and shelf stocking in warehouses, kitchen work, housekeeping, laundry and cleaning, and hospital portering. We also capture photographs of handwritten Arabic pages.
How is it recorded?
Hands-free, with a phone sideways on a head strap, the Roboband headband (up to eight synced cameras) or the wristband camera. Phone recording works on iPhone 11 to 17, Pixel 6 to 9, Galaxy S21 to S24 and more.
How do you handle consent and privacy?
Every worker agrees before recording, in Arabic, English, Filipino or Urdu. We never process content to identify anyone.
How do you check quality?
A person reviews every recorded hour. Only accepted hours are paid for and delivered, and labelling is checked with a human in the loop.
Bring real-world data to your logistics & warehousing work.
Tell us what your robot needs to learn. We will scope the environments, tasks and labels with you.
