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
  • Cloud GPU plus a frontier LLM in our review loop

Platform

One pipeline, four stages.

From capture to delivery in a single workflow, with no glue code between vendors.

CaptureSynchronizeAnnotateDeliver
Capture module visual
01

Capture

Real-world video, sensor, pose, and trajectory streams.

Synchronize module visual
02

Synchronize

Time-aligned, spatially registered episodes.

Annotate module visual
03

Annotate

Action phases, task semantics, and failure events.

Deliver module visual
04

Deliver

AI-ready datasets for training and simulation.

Data scope:VideoDepthPoseRobotSensorTask events

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
4D motion intelligence visualization

Stack

Honest about what we run on.

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 and governance visual

Security & Governance

What we promise on data handling.

  • Encryption in transit and at rest
  • Per-project access control
  • Project-level data isolation
  • Audit log for capture and pipeline events
  • Customer data not used for public training
  • Dataset versioning and lineage
  • Configurable data retention windows
  • Privacy modes: bystander blurring on capture

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 ModelReal2SimCloud GPUFrontier LLM

Contact

Plan your physical AI data roadmap.

Reach out for dataset access, pilot data programs, or research collaboration.

Domain: dexmotions.com

Email: contact@dexmotions.com

Phone: +65 6123 4567

We will reply within one business day.