How it works
A trusted layer between data owners and AI companies.
Two journeys, one standard: understand the data, establish the rights, prepare it properly, and license it on documented terms.
- 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
Journey A · Data owners
From dormant records to a licensed dataset.
We start with descriptions, not data. Each step has an exit, and no sale is guaranteed — but nothing moves without your authorization.
- STEP 01
Describe your data
Share high-level information about what you hold. No raw data is required at this stage.
- Organization type, industry and country
- Years of history and approximate number of records
- Data types and the systems that hold them
- Whether results or outcomes are recorded
- Ownership status
- Whether personal or customer information is present
- STEP 02
Dataset assessment
We evaluate whether the data matches what AI developers are actively looking for.
- Uniqueness
- Scale
- Structure
- Potential AI applications
- Potential rights issues
- Buyer relevance
- STEP 03
Rights & privacy review
Owning data and having the right to license it are not the same thing. We work through the difference with you and appropriate specialists.
- Ownership
- Customer confidentiality
- Contractual restrictions
- Personal information
- Trade-secret considerations
- Cross-border restrictions where applicable
- STEP 04
Dataset preparation
Where a dataset qualifies, we help turn operational records into a documented, licensable asset.
- De-identification
- Normalization and formatting
- Metadata creation
- Documentation and dataset cards
- Provenance documentation
- STEP 05
Buyer matching
We match qualifying datasets with organizations that have a relevant need.
- AI labs
- AI developers
- Industrial AI companies
- Research organizations
- STEP 06
Licensing
Commercial terms are negotiated per transaction. Depending on the dataset and the buyer, structures may include:
- One-time licenses
- Non-exclusive licenses
- Exclusive licenses
- Limited-duration rights
- Field-of-use licenses
Not every structure is available for every dataset or buyer.
- STEP 07
Revenue
If a transaction is completed, you receive the compensation agreed in the license.
No sale is guaranteed. Whether a dataset licenses depends on buyer demand, rights and quality.
Journey B · AI companies
Tell us the data your model needs.
Submit a specification. We search our supplier network, qualify candidates and coordinate licensing with the data owner.
- 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.
Trust & compliance
Data licensing without losing control.
Your data stays yours until you decide otherwise. We assess before anything is shared, and we treat rights and privacy as conditions of a transaction — not afterthoughts.
No raw data for an initial evaluation
The first assessment uses descriptions, schemas and counts — not your records.
Nothing moves without authorization
Data is not transferred to buyers without your explicit authorization and an agreed license.
Ownership is not the same as licensing rights
Customer contracts, consents and confidentiality terms can limit what may be licensed, even for data you hold.
Specialist review where it is needed
We work with data owners and appropriate legal and compliance specialists to determine what can be licensed.
Datasets may require
- Contractual review
- Customer-consent review
- Anonymization
- De-identification
- Removal of restricted information
- Export-control review
- Cross-border data review
Removing names alone does not guarantee anonymization. Combinations of dates, locations, product codes or rare events can re-identify people or customers, so de-identification is planned dataset by dataset.
DataNexx does not provide legal advice. Data licensing transactions may require independent legal, privacy, regulatory, or export-control review.
FAQ
Common questions.
Do we need to send any data for the first assessment?
No. The initial assessment uses high-level descriptions: what kind of data you hold, how much, over what period, and in which systems. Samples are only discussed later, under confidentiality terms, if there is a reason to look further.
How much could our data be worth?
We cannot say before an assessment, and we will not quote a number we cannot support. Value depends on buyer demand, uniqueness, quality, scale, licensing rights and intended use. Some datasets have strong licensing potential; many do not.
We own our data. Does that mean we can license it?
Not necessarily. Customer contracts, confidentiality obligations, consents and regulations can restrict how data you hold may be used. Part of our process is identifying those restrictions with you and appropriate specialists.
What about our customers' confidential information?
Customer-identifying and confidential information is typically excluded or de-identified, and some datasets cannot be licensed at all because of customer terms. We plan this dataset by dataset rather than assuming a single approach works.
Do you have a catalog we can browse?
We work primarily to specification. Tell us the data your model needs and we search our supplier network for organizations that produce 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.
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.