For AI companies · Custom sourcing
You specify it. We source it.
Skip the catalog. Tell us what your model needs — we find the organizations that generate it, check the rights, and prepare it to spec.
- Frontier AI labs
- AI research teams
- Robotics companies
- Industrial AI companies
- Scientific AI startups
- Vertical AI companies
- Model developers
- Agent developers
- 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
Access data the internet doesn't have
Find the industrial data your model is missing.
Public corpora describe the world. Proprietary data records what actually happened.
Public web data
Strong at
Broad language and general knowledge
Limitation
Rarely contains instrument readings linked to verified outcomes
Synthetic data
Strong at
Scale, coverage and controllable edge cases
Limitation
Only as faithful as the simulator or model that produced it
Proprietary measured data
Strong at
Ground truth from real processes, expert decisions and results
Challenge
Scattered across organizations that never prepared it for AI
What we optimize for
Real measurements. Expert decisions. Verified outcomes.
The same criteria your data and policy teams will ask about.
- Unique datasets
- Data generated inside organizations, not already in public corpora.
- Provenance
- Who generated it, how, when, and under what conditions.
- Licensing rights
- Scope and permitted uses set out contractually with the data owner.
- Verified outcomes
- Ground truth determined by physical tests or qualified people.
- Expert workflows
- How practitioners did real work, from request to sign-off, for training and evaluating agents.
- Longitudinal history
- Years of records that include rare events and edge cases.
- Scale & multimodality
- Structured records alongside images, documents and signals.
- Exclusivity options
- Exclusive or field-of-use terms where the data owner agrees.
Sourcing to specification
Custom sourcing, not a catalog.
The most useful data often isn't for sale yet. We find it, check the rights, and prepare it to spec.
- 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.
Illustrative requests
The kind of specifications we source against.
Fictional examples — not current customers.
- REQ-A · MATERIALS AIIllustrative request
- Seeking
- 250,000+ tensile, fatigue and thermal test records
- Including
- Material composition
- Test parameters
- Measurements
- Failure modes
- Verified engineer review
- Use
- Model training and evaluation
- REQ-B · INDUSTRIAL AGENTIllustrative request
- Seeking
- Machine fault histories
- Including
- Telemetry
- Operator diagnosis
- Maintenance actions
- Corrective actions
- Confirmed resolution
- Use
- Agent training and troubleshooting evaluation
- REQ-C · FOOD SCIENCE AIIllustrative request
- Seeking
- Batch-level microbiological and chemical QC measurements
- Including
- Production conditions
- Test methods
- Release decisions
- Failed batches
- Corrective actions
- Use
- Quality prediction and anomaly detection
Illustrative requests only — examples of specifications we can source against, not current customers.
Documentation
Provenance you can show your policy team.
Depending on the dataset and the data owner's terms, a licensed dataset can come with:
Dataset card
Purpose, composition, collection process, known limitations.
Schema & field documentation
Units, methods, value ranges and relationships between tables.
Provenance record
Source organization type, systems of record, time span and processing steps.
De-identification notes
What was removed or transformed, and why.
License scope
Permitted uses, duration, exclusivity and any field-of-use limits.
Where we source.
All categoriesFAQ
Questions AI teams ask.
Do you have a catalog we can browse?
We work to specification rather than from a fixed catalog. Tell us the data your model needs and we identify and approach organizations that generate it. Any catalog we publish contains high-level, anonymized descriptions only.
What documentation comes with a dataset?
Depending on the dataset: a dataset card, schema and field descriptions, collection methods, provenance documentation, de-identification notes and the license scope agreed with the data owner.
Can you source data that doesn't exist as a product yet?
Often that is the point. Much of the most useful real-world data sits inside organizations that have never packaged or sold it. We work with them to determine whether it can be licensed and to prepare it to your specification. Not every request can be fulfilled.
Can we get exclusive rights?
Sometimes. Exclusive, non-exclusive, limited-duration and field-of-use structures may be possible depending on the data owner and the dataset. Availability is decided case by case.
Can we review data before licensing?
Typically you review anonymized descriptions and documentation first. Samples may be possible under confidentiality terms where the data owner agrees.
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.