For data owners
Your historical data may be worth more than you think.
Test results, QC logs, investigations, work orders and engineering reviews can hold the real-world ground truth AI developers can't get from public data.
No raw data required · Confidential · No obligation
Where it lives
Your data is probably already here.
Years of records in systems you already run — kept for compliance, never used for AI.
01
Laboratory
Samples, methods, results, approvals
- LIMS
- ELN
- Chromatography data systems
- LabWare
- STARLIMS
- LabVantage
02
Production
Batches, settings, machine states
- MES
- SCADA
- Data historians
- AVEVA PI
- Ignition
03
Quality
Inspections, defects, CAPAs
- QMS
- SPC
- CMM software
- SAP QM
- MasterControl
04
R&D & engineering
Experiments, tests, failure reviews
- Test-rig exports
- PLM
- Simulation records
- Engineering reports
05
Process & workflow
Investigations, work orders, approvals
- Deviation & CAPA
- CMMS work orders
- Change control
- Document control
- ServiceNow
- Jira
06
Everywhere else
The records nobody migrated
- Spreadsheets
- File shares
- PDF reports
- Instrument exports
Names are examples of common systems; no affiliation implied.
Before you start
What to expect
- No raw data to start
- We review descriptions first: what you hold, how much, and where.
- Rights before transfer
- Nothing moves without your authorization.
- Owning ≠ permission
- Contracts and consents can restrict licensing.
- Not everything qualifies
- That's a useful answer too.
- No guaranteed sale
- You're paid only if a license closes.
What qualifies
Signs your data may qualify
The more of these are true, the stronger the case.
- 01
Results are recorded
Pass/fail, final values, failure modes.
- 02
People made decisions
Judgment calls, investigations and sign-offs were recorded, step by step.
- 03
Failures were kept
Defects and corrective actions, not just successes.
- 04
It goes back years
Long histories hold rare events and edge cases.
- 05
Records link together
Inputs, conditions and outcomes join by batch or sample.
- 06
It isn't public
Generated internally, not openly available.
How it works
Assess. Talk. Prepare. License.
- 015 minutes
Assess
Describe your data. No uploads, no raw data.
- 0230-minute call
Talk
We agree what's in scope — and what isn't.
- 03Before transfer
Prepare
Rights review, de-identification, documentation.
- 04If a buyer fits
License
Signed terms. You're paid when a deal closes.
No sale is guaranteed. Nothing is shared without your approval.
Who we're looking for
You know where the records are.
We usually start with one of these people.
Lab directors
Assays, methods, approvals
QA / QC managers
Inspections, defects, CAPAs
Plant & operations leads
Batches, yields, downtime
Process engineers
Settings, SPC, corrective actions
Reliability engineers
Telemetry, faults, maintenance
R&D heads
Experiments, incl. the failed ones
Agronomy & field leads
Trials, soil, outcomes
Test & certification leads
Test records, pass/fail, reports
Confidentiality first
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.
Example dataset profiles
Years of tests could have a second life.
Fictional profiles — not datasets currently available.
- EX-01 · DATASET PROFILEIllustrative
Food Quality Dataset
- History
- 8 years
- Tests
- 1.8M
- Chemical + microbiological measurements
- Production batch linkage
- Pass / fail outcomes
Potential applications
Industrial QA · Food science AI · Anomaly detection
- EX-02 · DATASET PROFILEIllustrative
Materials Testing Dataset
- Tests
- 320,000
- Test types
- 3
- Tensile, compression and thermal measurements
- Material composition
- Failure classifications
- Engineer-reviewed outcomes
Potential applications
Materials science · Engineering models · Physical reasoning
- EX-03 · DATASET PROFILEIllustrative
Manufacturing Process Dataset
- History
- 12 years
- Signals
- Machine telemetry
- Production settings
- Defect records
- Corrective actions
- Final QC results
Potential applications
Predictive maintenance · Process optimization · Industrial agents
Illustrative example only. These profiles are fictional and do not describe datasets currently available.
Not every dataset is a fit
Data we generally do not want.
Datasets involving these categories may require additional review or may not be eligible. Telling you early is part of protecting you.
- Personal consumer data
- Patient-identifiable medical information
- Payment-card information
- Passwords or authentication data
- Restricted defense information
- Export-controlled technical information
- Government-classified information
- Information the seller has no right to license
FAQ
Questions data owners ask.
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 license workflow data like tickets, emails or chat?
Only scoped workflow records, such as a defined set of deviation investigations or maintenance work orders. We never take bulk exports of inboxes, chat workspaces or ticketing systems. Records are de-identified before they leave your control, and we need written authorization from someone entitled to license the data, not just someone with access to it.
Will this disrupt our operations?
The assessment requires a short questionnaire and, if promising, a conversation with the people who know the data. Preparation work is scoped with you in advance.
Is a sale guaranteed?
No. We match qualifying datasets with buyers who have a relevant need, but no transaction is guaranteed. You are compensated only if a license is agreed and completed.
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.