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 search our supplier network and approach organizations that produce matching data — rather than only offering a fixed catalog.
- 03
Qualify
Candidate datasets are assessed for structure, quality and rights. You review anonymized descriptions and documentation before anything moves.
- 04
License
Terms, scope and permitted uses are set out contractually. Delivery follows only with the data owner's authorization.
Own valuable data?
Find out whether your historical data could qualify for AI licensing.
A confidential, no-raw-data assessment of your organization's laboratory or industrial records.
Building AI?
Tell us the proprietary data your model needs.
Specify the domain, structure, modalities and rights. We source from organizations that produce it.