Enterprise data collection built for physical AI
DataX Power runs managed video data collection programs for robot learning - from capture protocol design to delivery - so your ML team focuses on training, not logistics.
Physical AI is trained on real-world video
The next generation of robots - humanoid manipulators, surgical assistants, autonomous vehicles - learn by watching. Vision-Language-Action models and imitation learning algorithms require large volumes of high-quality video demonstrations to generalize across tasks, environments, and edge cases.
That demand spans every vertical: a warehouse AMR learning from navigation footage, a surgical robot trained on wrist-camera recordings, a humanoid trained on egocentric human demonstrations. Custom video collection gives you the specific viewpoints, task diversity, and scene variation your model needs to perform in deployment.
100K+ collection hours executed
Up to 4K/60fps video resolution
Programs onboarded in 2 weeks
4 APAC participant markets
Egocentric, third-person, and manipulation video for robots
Four video capture modes covering every viewpoint your robot training pipeline needs.
Egocentric Video Collection
First-person footage captured via head-mounted rigs, Meta Aria, and smart glasses at up to 4K/60fps. The primary modality for task learning, activity recognition, and embodied AI models trained on human demonstrations.
Third-Person Video
External-viewpoint recording using fixed and mobile camera arrays with synchronized timestamps. Multi-angle setups for 3D pose estimation, scene understanding, and behavior cloning from outside observers.
Robot Manipulation View
Close-range wrist-mounted and overhead cameras capturing hand-object interactions - grasping, tool use, assembly, and dexterous tasks. Synchronized with force/torque logging where the task requires it.
Mobile Navigation Video
On-board and chase-camera footage of mobile robot traversal across warehouses, outdoor terrain, and mixed environments. Covers pedestrian interactions, obstacle avoidance, and edge-case navigation scenarios.
Onsite and crowdsourced collection
Two ways we capture the video your robot training pipeline needs.
Onsite and Studio Collection
Recording in purpose-built studio environments or the actual spaces where your robot will operate - warehouses, surgical suites, factory floors. Controlled conditions give consistent lighting, scene layout, and repeatability across sessions.
Crowdsourced Collection
Video gathered from diverse participants using consumer and enterprise recording devices. DataX Power draws on a network of 300+ trained data collaborators across APAC - giving you demographic and environmental diversity that studio collection alone cannot deliver.
Collection programs
that deliver training-ready datasets
- 100K+Collection hours executed
- 4KMax video resolution
- 2 wksPilot onboard time
- 4APAC participant markets
From brief to delivery in five steps
A repeatable, quality-controlled program structure that scales from 100-hour pilots to 50,000-hour production programs.
Specification
We translate your model requirements into a capture specification - camera configuration, task scripts, viewpoint diversity matrix, and delivery format.
Protocol Design
Hardware setup, participant briefing materials, consent flows, and QA checklists are built out before a single recording starts.
Execution
Collection runs with domain-trained operators. Daily progress reports and sample batches available for your ML team to review.
QA Review
Multi-stage review by robotics-trained QA engineers checking temporal consistency, frame quality, scene diversity, and consent compliance.
Delivery
Dataset delivered in your preferred format with documentation covering scene diversity, consent records, capture specs, and quality metrics.
Ready to scope your collection program?
We typically spec a pilot program within 5 business days. Tell us your robot platform, task set, and target hours - we will return a proposal.
Start the conversationRobot manipulation, ADAS, and embodied AI training data
From humanoid robot dexterity to surgical AI - we collect training data that public datasets cannot provide.
Humanoid robot manipulation - pick-and-place, tool use, and dexterous assembly training datasets
Autonomous vehicles and ADAS - in-cabin monitoring, pedestrian behavior, and edge-case driving footage
Egocentric scene understanding for AR/VR, smart glasses, and first-person embodied AI
Imitation learning demonstrations - egocentric and wrist-cam video for VLA model and behavior cloning training
Retail and warehouse AMR - navigation, object handling, and human-robot proximity footage
Surgical and medical robotics training data with GDPR and PDPA compliance controls
Built for the teams pushing physical AI forward
Serving robotics, automotive, healthcare, and retail teams across APAC, Europe, and the US.
- Humanoid and bipedal robotics
- Autonomous vehicles and ADAS
- Surgical and medical robotics
- Warehouse AMR and logistics automation
- Smart glasses and AR/VR
- Agricultural robotics
- Service robots and hospitality automation
- Manufacturing and quality inspection
APAC-native execution at enterprise scale
We close the gap between what your model needs and what public datasets provide.
Why custom collection matters
- Public datasets lack the task diversity, camera viewpoints, and environmental variation your production robot faces
- Lab-collected data does not generalize to warehouse, surgical, or outdoor deployment environments
- Wrong data distribution costs more to fix downstream than it costs to collect correctly upfront
- Custom programs give you control over lighting, occlusion, object diversity, and failure-mode coverage
- APAC-based collection unlocks participant diversity and cost efficiency unavailable in US or EU programs
Why DataX Power
- APAC-native participant networks in Vietnam, Thailand, Singapore, and Malaysia - lower cost per hour, same QA standard
- End-to-end program ownership: we handle hardware, participants, consent, QA, and delivery so your ML team focuses on training
- QA engineers trained on robotics video - not generic labellers - reviewing for temporal consistency, frame quality, and task coverage
- Pilot-to-production on the same contract: the team and workflows that handle your 100-hour pilot scale to 50,000 hours with no re-RFP
Research and guides on data collection for AI
Deep dives for AI engineers and robotics teams building training pipelines.
Common questions about data collection
Answers for AI engineers and robotics teams evaluating a managed collection program.
Let's build what's next
Share your challenge – AI, data, or infrastructure. We'll scope your project and put the right team on it.