Real-world AI training data
Training data from processes that actually happened.
Models trained mostly on public text learn how people describe the physical world. Proprietary measured data shows how it behaves — inputs, measurements, expert decisions and the verified result.
- 01 →The physical worldSamples, materials, machines, batches
- 02 →MeasurementsInstruments, sensors, test rigs
- 03 →Expert decisionsTechnicians, engineers, operators
- 04 →Verified outcomesPass / fail, failure mode, result
- 05 →Structured dataDocumented, de-identified, licensed
- 06 AITraining, evaluation, RL, agents
What matters
What this data needs to have.
- 01
Coverage beyond the public web
Domains where the real records sit inside laboratories, plants and test facilities.
- 02
Linked workflows
Records that connect conditions to measurements to outcomes, not isolated tables.
- 03
Documented rights
Provenance and license scope you can show to your own legal and policy teams.
Typical data shapes
- Structured test records
- Process parameters with outcomes
- Expert notes and dispositions
- Images and instrument signals
Relevant categories
How sourcing works
You tell us what your model needs.
We find organizations that produce it and help them prepare it responsibly.
- 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
- 01
Specify
Tell us what your model needs: domain, structure, modalities, scale, time period, rights and intended use.
- 02
Source
We identify and approach organizations that naturally generate matching data — including data that does not yet exist as a packaged product.
- 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.
- 04
Prepare
We work with the data owner to de-identify, structure and document the data to your specification.
- 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.