Enterprise data collection built for physical AI
DataX Power runs end-to-end managed data collection programs - from capture protocol design to delivery - so your ML team focuses on training, not logistics.
Public datasets will not train production AI
Ego4D, DROID, and Open X-Embodiment gave the research community a starting point. They will not give your robot a production-grade foundation. Public datasets were collected in labs with constrained scenarios, fixed lighting, and limited task diversity.
Custom data collection is about capturing the exact manipulation tasks, viewpoints, sensor configurations, and edge-case scenarios that your model needs to generalize. DataX Power designs and operates those programs - owning the full pipeline from scenario scripting through QA and delivery.
500K+ collection hours executed
Sub-5ms sensor sync accuracy
Programs onboarded in 2 weeks
4 APAC participant markets
Video, sensor, and field data collection programs
Any sensor. Any environment. Each program is scoped to your robot platform and runs standalone or in combination with others.
Video Data Collection
Egocentric and third-person video capture using head-mounted rigs, GoPro, and enterprise smart glasses at up to 4K/60fps. Indoor and outdoor environments across APAC.
Multi-Sensor Fusion
RGB plus depth (RealSense, Kinect, Orbbec) plus IMU plus force/torque pipelines with hardware-level synchronization. Sync error under 5ms. Output in HDF5, ROS2 bag, or custom format.
Teleoperation Recording
Full-episode teleoperation capture with kinematic retargeting from human demonstrators. Dexterous manipulation, bimanual tasks, and mobile manipulation. Compatible with ALOHA, UMI, and custom rigs.
Field Observation Programs
Naturalistic recording of human activities in real environments - warehouses, kitchens, surgical suites, factory floors. Scenario-scripted or semi-scripted sessions with diversity matrices for objects, lighting, and occlusion.
Audio and Speech Collection
Structured speech recording in Vietnamese, Thai, Malay, and English. Noise-varied environments, multiple speaker profiles, and command/response pairs for voice-controlled robot interfaces.
Collection programs
that deliver training-ready datasets
- 500K+Collection hours executed
- <5msSensor sync accuracy
- 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 - sensor configuration, task scripts, 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, sensor sync, annotation completeness, and consent compliance.
Delivery
Dataset delivered in your preferred format with documentation covering scene diversity, consent records, sensor 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
Speech and voice command datasets for robot interfaces in Vietnamese, Thai, Malay, and English
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, sensor configurations, 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 data - not generic labellers - reviewing for temporal consistency, sensor sync, 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
Need data annotation too?
DataX Power's data annotation arm - DataXanno - provides production-grade image, video, NLP, audio, and 3D LiDAR annotation. Pair raw collection with expert annotation in one engagement.
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.