About
Real-world industrial data for AI.
Companies around the world have spent decades generating valuable scientific and industrial information through tests, measurements, production processes, inspections, experiments, failures and expert decisions.
Why we exist
Decades of knowledge, never collected for AI.
AI development increasingly depends on high-quality real-world data. Public text is broad but shallow on physical processes; synthetic data is only as faithful as the system that generates it.
Meanwhile, laboratories and industrial companies around the world hold decades of measured information that was never collected for AI. It sits in LIMS, MES, historians, QMS archives and file shares — valuable, but dormant.
We exist to bridge that gap responsibly: helping data owners understand what they have, establishing what can be licensed, and connecting qualifying datasets with AI teams that need them.
Mission
Make real-world scientific and industrial knowledge accessible for AI development while protecting the organizations that created it.
- 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
Values
What we hold ourselves to.
- Provenance
- Every dataset should be traceable to how and by whom it was generated.
- Consent
- Data moves only with the authorization of those entitled to give it.
- Transparency
- Buyers and suppliers should understand what is being licensed and on what terms.
- Security
- Sensitive information is handled on a need-to-know basis throughout an engagement.
- Fair compensation
- Organizations that created valuable data should share in the value it creates.
- Scientific integrity
- Data is described as it is — including its limitations.
- Responsible licensing
- We decline data we should not license, even when someone would buy it.
DataNexx does not provide legal advice. Data licensing transactions may require independent legal, privacy, regulatory, or export-control review.
Differentiation
Real-world ground truth. Nothing else.
We specialize in discovering and commercializing proprietary datasets produced through real scientific, laboratory, manufacturing and industrial activity.
NOTA generic dataset marketplace
We source to specification and prepare each dataset with its owner.
NOTA web-scraping company
Our datasets come from the organizations that generated them, with their authorization.
NOTA synthetic-data generator
We work with measured data. It complements synthetic data rather than replacing it.
NOTA consumer data broker
We do not trade in personal information about consumers.
NOTAn annotation outsourcer
The expert labels already exist — they were made by the people who did the work.
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.