Industrial data built for models that operate in the real world.

Commission proprietary real-world collection programs built around your task, environment, modality, protocol, rights, and acceptance criteria—from controlled pilots to multi-location execution.

Discuss Your Data Requirements

More than video collection.

The value is the complete system: requirement definition, task taxonomy, collection design, modalities, human execution, quality assurance, governance, structured delivery and iteration.

What a data program can deliver.

Training-ready data

Structured files aligned to the target task, embodiment and model workflow.

Metadata and taxonomies

Task, action, object, tool, environment and capture context defined for the project.

Quality documentation

Specifications, acceptance criteria, validation results, rejection and rework records.

Rights and provenance

Project-appropriate documentation for origin, permitted use, consent and handling.

From requirement to training-ready data.

01

Understand

Define the model objective, target task, environment, embodiment and data requirement.

02

Design

Engineer the protocol, taxonomy, modalities, participants and acceptance criteria.

03

Execute

Execute and coordinate field operations, participants, equipment, and in-process quality control across the required environments.

04

Validate

Review data against quality, completeness, rights and compliance criteria; reject or rework where needed.

05

Deliver

Prepare structured files, metadata and documentation for customer integration.

06

Improve

Use customer and model feedback to refine subsequent collection and delivery.

See all six steps

Start at the scale that answers the next question.

01

Pilot

Test feasibility, capture design and data relevance on a bounded task.

02

Validation

Refine protocols and acceptance criteria against model or workflow feedback.

03

Production

Expand a proven program across the required volume, environments or geographies.

Inspect representative task evidence.

Close view of trouser hem sewing
Public data evidence Apparel and textiles

Apparel workflow capture across skilled manual tasks

Public task evidence covering sewing, garment handling, edge work, and other fine manual operations.

Selected evidence

9 public evidence clips

View case study
Hands assembling a hinge in an electronics workflow
Public data evidence Electronics manufacturing

Electronics assembly workflow capture

Task-level video evidence across fine assembly, fitting, soldering, testing, and handling operations in electronics production.

Selected evidence

21 public evidence clips

View case study
Open Data Library

Building a Physical AI system? Tell us what your model needs to learn.

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