Capture
Real-world video, sensor, pose, and trajectory streams.
Multimodal Motion Data Infrastructure for Embodied AI
Real-world motion, sensor, pose, and trajectory data — turned into AI-ready datasets for robotics and physical AI.
Platform
From capture to delivery in a single workflow, with no glue code between vendors.
Real-world video, sensor, pose, and trajectory streams.
Time-aligned, spatially registered episodes.
Action phases, task semantics, and failure events.
AI-ready datasets for training and simulation.
Products
Capture, processing, replay, and dataset — four products covering the full motion data lifecycle.
Wearable capture rig for in-the-wild human and robot multimodal data collection.
Read more →Processing pipeline that turns raw streams into structured spatial knowledge.
Read more →Experience replay engine that lets models repeatedly relive and internalize episodes.
Read more →Multimodal 4D human experience dataset preview for embodied AI and world models.
Read more →News & Releases
Field reports, product milestones, and dataset releases straight from the DexMotion team.

Apr 22, 2026 · Product · Field Trial
Our wearable multimodal capture rig moves from the lab into pilot warehouses, kitchens, and assembly lines.

May 14, 2026 · Dataset · Preview Release
A multimodal, 4D motion dataset preview built from real DexCapture sessions, distributed with quality scores and lineage.
4D Motion Intelligence
Space, time, and action — together. We model how motion unfolds in real environments and how tasks complete over time, not just single frames.
Use cases
Turn human demonstrations and robot trial runs into structured robot-learning datasets.
Read more →Analyze trajectories and anomalies across industrial robots, AGV, and AMR fleets.
Read more →Capture motion, pose, tool use, and environment interaction during complex human tasks.
Read more →Stack
We are an early-stage team. We rent GPU compute, store data in cloud object storage, and call a frontier LLM through its API.
Cloud GPU compute
We rent GPU instances from a major public cloud (currently AWS) for video, pose, and motion processing.
Object storage and pipelines
Raw streams and dataset slices live in cloud object storage with versioning. Lightweight orchestration runs the capture-to-delivery pipeline.
Frontier LLM in the loop
We use a frontier LLM through its API to assist annotation review, dataset summaries, and anomaly triage. Operator review stays in the loop.
AWS, Amazon, and product names are trademarks of their owners. Mention here describes services we use as a customer.

Security & Governance
About
DexMotion is an early-stage company building multimodal motion data infrastructure for embodied AI and robot learning.
Contact
Reach out for dataset access, pilot data programs, or research collaboration.
Domain: dexmotions.com
Email: contact@dexmotions.com
Phone: +65 6123 4567