01
Capture
Real-world video, sensor, pose, and trajectory streams.
Multimodal Motion Data Infrastructure for Embodied AI
DEXMOTION
Real-world motion, sensor, pose, and trajectory data — turned into AI-ready datasets for robotics and physical AI.
- Embodied AI and robot learning data layer
- 4D motion intelligence over space, time, and action
- Built on AWS GPU and Amazon Bedrock Claude
Platform
One pipeline, four stages.
From capture to delivery in a single workflow, with no glue code between vendors.
CaptureSynchronizeAnnotateDeliver
02
Synchronize
Time-aligned, spatially registered episodes.
03
Annotate
Action phases, task semantics, and failure events.
04
Deliver
AI-ready datasets for training and simulation.
Data scope:VideoDepthPoseRobotSensorTask events
Products
Solutions for physical 4D intelligence.
Capture, processing, replay, and dataset — four products covering the full motion data lifecycle.
HardwarePilot
DexCapture
Wearable capture rig for in-the-wild human and robot multimodal data collection.
Read more →
SoftwarePilot
DexProcess
Processing pipeline that turns raw streams into structured spatial knowledge.
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EnginePreview
DexReplay
Experience replay engine that lets models repeatedly relive and internalize episodes.
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DatasetPreview
DexXperience Preview
Multimodal 4D human experience dataset preview for embodied AI and world models.
Read more →News & Releases
Latest releases and updates.
Field reports, product milestones, and dataset releases straight from the DexMotion team.
Apr 22, 2026 · Product · Field Trial
DexCapture v1 enters field trials
Our wearable multimodal capture rig moves from the lab into pilot warehouses, kitchens, and assembly lines.
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May 14, 2026 · Dataset · Preview Release
DexXperience Preview is open for early access
A multimodal, 4D motion dataset preview built from real DexCapture sessions, distributed with quality scores and lineage.
Read story →
4D Motion Intelligence
Motion in 4D.
Space, time, and action — together. We model how motion unfolds in real environments and how tasks complete over time, not just single frames.
- Multimodal data fusion
- Pose estimation
- Action trajectory analysis
- Task event segmentation
- Human-object-robot interaction
- Simulation-ready data generation
Use cases
Where motion data unlocks value.
Robot learning datasets
Turn human demonstrations and robot trial runs into structured robot-learning datasets.
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Industrial robot analysis
Analyze trajectories and anomalies across industrial robots, AGV, and AMR fleets.
Read more →
Human demonstration capture
Capture motion, pose, tool use, and environment interaction during complex human tasks.
Read more →Built on AWS
Cloud-native infrastructure for physical AI.
AWS GPU handles video, pose, sensor, and trajectory workloads. Bedrock Claude powers annotation, review, and reports.
Amazon S3
Multimodal raw data lake.
Amazon EC2 GPU
Video, pose, and motion processing.
Amazon SageMaker
Training and inference deployment.
Amazon Bedrock Claude
Annotation, review, and reports.
OpenSearch / pgvector
Retrieval over motion segments.
AWS Step Functions
Pipeline orchestration.
Amazon ECS / EKS
Service hosting.
Amazon CloudWatch
Monitoring and alerts.
Security & Governance
Enterprise controls by default.
- Encryption in transit and at rest
- Role-based access control
- Project-level data isolation
- Audit logging and data lineage
- Singapore region deployment
- Private VPC deployment options
- Customer data not used for public training
- Dataset version management
About
Data infrastructure for physical intelligence.
DexMotion is an early-stage company building multimodal motion data infrastructure for embodied AI and robot learning.
Embodied AIPhysical AI4D MotionRobot LearningWorld ModelReal2SimAWS GPUBedrock Claude
Contact
Plan your physical AI data roadmap.
Reach out for dataset access, pilot data programs, or enterprise collaboration.
Domain: dexmotions.com
Email: contact@dexmotions.com
Phone: +65 6123 4567