Skip to content
DataNexx

Robotics & physical AI

Physical-world data for systems that have to act in it.

Robots and physical agents need to understand materials, forces, machine states and what happens when something goes wrong. Industrial operations have been recording exactly that for years.

  1. 01 →The physical worldSamples, materials, machines, batches
  2. 02 →MeasurementsInstruments, sensors, test rigs
  3. 03 →Expert decisionsTechnicians, engineers, operators
  4. 04 →Verified outcomesPass / fail, failure mode, result
  5. 05 →Structured dataDocumented, de-identified, licensed
  6. 06 AITraining, evaluation, RL, agents

What matters

What this data needs to have.

  • 01

    State and action

    Machine states and operator actions recorded alongside the signals they produced.

  • 02

    Failure data

    Anomalies, defects and corrective actions — the events that matter most for safe behavior.

  • 03

    Multimodal records

    Telemetry, images and inspection records joined on the same process.

Typical data shapes

  • Machine telemetry
  • Operator actions and interventions
  • Inspection imagery
  • Maintenance events

Relevant categories

How sourcing works

You tell us what your model needs.

We find organizations that produce it and help them prepare it responsibly.

Dataset specificationExample
Industry
Materials testing
Desired records
100,000+ laboratory tests
Desired structure
Inputs + measurements + verified outcomes
Modalities
Structured data, images, documents, signals, video, audio
Geography
Any, or specific regions
Time period
2015 – present
Exclusivity
Non-exclusive acceptable
Rights requirements
Commercial training rights, documented provenance
Intended use
Training, evaluation, RL, benchmarking, research
  1. 01

    Specify

    Tell us what your model needs: domain, structure, modalities, scale, time period, rights and intended use.

  2. 02

    Source

    We identify and approach organizations that naturally generate matching data — including data that does not yet exist as a packaged product.

  3. 03

    Qualify

    We evaluate whether candidate data can be licensed and whether it meets your structure and quality bar. You review anonymized descriptions and documentation before anything moves.

  4. 04

    Prepare

    We work with the data owner to de-identify, structure and document the data to your specification.

  5. 05

    License

    Terms, scope and permitted uses are set out contractually. Delivery follows only with the data owner's authorization.

Own valuable data?

Check your data's licensing potential.

A confidential, no-raw-data assessment of your organization's scientific, industrial or operational records.

Building AI?

You specify it. We source it.

Tell us the proprietary data your model needs — domain, structure, modalities and rights. We approach the organizations that produce it.