01 / PROVIDER
Appen
Physical-AI collection spanning human demonstrations, egocentric video and synchronized sensor data.
- Data focus
- Egocentric video · Multimodal capture · Annotation
- Rights documentation
- Confirm with provider
FIELD NOTES FOR PHYSICAL AI
Find data collection
partners for
robotics.
Find data collection partners for robotics. Compare demonstrations, egocentric video and custom capture—then define what your team actually needs.
Primary sources. Practical buying guides. Clear specifications.
COLLECTION → TRAININGFIG. 01
CAPTURE VOLUME
RGB
POSE
DEPTH
+
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x: task / y: context / z: quality01 Capture02 Align03 Label04 Deliver
Illustrative workflow · specify every handoff
01 / THE DIRECTORY
Different data.
Different kinds of partners.
Custom collection, existing datasets and marketplaces serve different needs. Start with the supply model, then check the specifications.
02 / PROVIDER
BuyRoboData
Supplier of existing human demonstration datasets organized by real-world scenario.
- Data focus
- Demonstrations · Annotation
- Rights documentation
- Confirm with provider
03 / PROVIDER
DataX Power
Offers pre-built egocentric datasets and custom collection for robotics training.
- Data focus
- Egocentric video · Annotation
- Rights documentation
- Confirm with provider
12 researched provider profiles · alphabetical orderExplore the full directory →
02 / THE BUYER’S WORKBENCH
Ask better questions.
Get a more useful sample.
01 / SOURCING
How to choose a robotics data collection provider
Choose between custom capture, existing datasets and marketplaces, then define a pilot that tests your actual training pipeline.
02 / CAPTUREHow to source egocentric video for robotics
Evaluate viewpoint, task coverage, annotations and rights before treating first-person video as useful robot training data.
03 / RIGHTSA robotics dataset licensing checklist
Prepare the commercial-use, provenance, privacy and distribution questions to resolve before purchasing robotics training data.
03 / HOW TO USE THIS REFERENCE
From a broad search
to a clear specification.
Read our research method →- 01
Make a factual shortlist
Compare published services and see which important details still need confirmation.
- 02
Define an accepted episode
Write down tasks, sensors, formats, rights and the checks that make a delivery useful.
- 03
Take your brief to the provider
Generate a brief locally, request a sample yourself and validate it in your pipeline.
START A CONVERSATION
Tell us about
your data project.
Email us a short outline of your requirements.