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Backed byYZi Labs

The real-world embodied data layer for physical AI

A human hand and robotic arm reach toward a three-dimensional embodied-data cube

Data Engine

One pipeline from raw capture to licensed models, scalable and verifiable at every stage.

  1. 01

    Capture

    A multi-device capture matrix, from phones to professional kits.

  2. 02

    Data

    On-chain rights registration and encrypted storage.

  3. 03

    Processing

    Cleaning, annotation and automated quality checks.

  4. 04

    Training

    AXON world-model and skill-model training.

  5. 05

    Distribution

    API access and industry licensing.

Three core technology modules

Visual-tactile fusion · ViTam

Vision fused with touch, so demonstrations carry contact forces and material response, not just pixels.

Cross-embodiment mapping

Universal adaptation across robot arms, humanoids and quadrupeds, so one dataset serves many bodies.

AXON world-model engine

Physically consistent world models built through a calibrate–scale–simulate loop.

Data quality and verifiability

Automated QA and human spot checks close the quality loop. Rights are registered on-chain at capture, so every episode ships with clean provenance and a verifiable quality score.

  1. Capture
  2. QA
  3. Rights on-chain
  4. Vault

Built for

VLAWorld ModelsDexterous ManipulationGeneralist Embodied Agents
Data provenanceVerified
A robotic operator capturing a physical interaction
Capture
Robotic hands holding a motion-processing chip
Motion
A verified data network connecting physical devices
Chain
A secure verified-data vault
Vault

Product matrix

Hardware and apps feed one data engine.

In productionFlagship

Ego Suite

Lightweight, head-mounted multimodal capture systems for first-person real-world interaction data, alongside dedicated devices for multimodal hand-motion and tactile-pressure sensing.

Designed for: Scalable contributor networks and on-site collection teams
Data captured: RGB, IMU, and tactile glove streams

Zero barrierCompanion path

Phone 3D spatial scanning

Anyone with a phone can upload scans and earn token rewards. A 3D home model can fetch $10+ on the marketplace.

Derived apps · Optimal camera placement · Daylight simulation · Renovation preview · Accessible 3D data collection

APP STORECOMING SOONGOOGLE PLAYCOMING SOON

B2B data marketplace and applications

License task-specific embodied datasets or commission custom capture campaigns across our contributor network.

World Model / VLA data licensingEmbodiment-adaptation dataIndustrial · retail · service capture3D scene simulation
A chrome data cube depicting industrial manufacturing

Industrial manufacturing

Assembly, kitting and tool-use data from tasks modeled on real production lines.

Modality
RGB-D + hand pose + contact
Scale
50K+ episodes (sample)
A supermarket scene with retail shelves and checkout workflows

Supermarkets

Shelf restocking, product picking, inventory checks and checkout workflows captured across diverse retail environments.

Modality
Egocentric RGB-D + hand pose + product annotations
Scale
Multi-store campaigns
A pharmacy scene with medicine shelves and a dispensing counter

Pharmacies

Medicine picking, shelf organization and order-fulfillment workflows with precise label, package and placement annotations.

Modality
RGB-D + hand pose + label/OCR annotations
Scale
Expert-validated campaigns
A chrome data cube depicting home services

Home services

Kitchen tasks, laundry and tidying in real homes, including the long tail of tasks robots struggle with.

Modality
Egocentric RGB + hand pose
Scale
180K+ episodes (sample)
A chrome data cube depicting logistics and warehousing

Logistics and warehousing

Pick-pack-sort episodes across varied bins, parcels and shelving layouts.

Modality
Egocentric video + depth + IMU
Scale
From 10K episodes
A restaurant scene with food preparation and table service

Food service and restaurants

Ingredient handling, meal preparation, plating and table-service workflows captured in real restaurant environments.

Modality
Egocentric RGB-D + hand pose + contact
Scale
Multi-site campaigns

Backed by

YZi Labs

Start contributingreal-world data to physical AI