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DataNexx
DataNexx

Proprietary real-world data for AI

Real-world data the internet doesn't have.

We turn lab, production and process records — what was measured, and how your experts handled it — into licensable AI datasets, and source data AI teams can't find online.

Evaluate Your Data Request a DatasetBook a call
  • No raw data to start
  • Confidential
  • Global
Record MT-0418 · TensileIllustrative
  1. 01Physical world
    Specimen · Al 6061-T6 · Ø 12.5 mm · lot 22-B
  2. 02Measurements
    UTS 312 MPa
    Elong. 11.8 %
  3. 03Expert decision
    Engineer review: necking before fracture, consistent with ductile failure
  4. 04Verified outcome
    Pass · ductile fracture
  5. 05Structured data
    { "alloy": "6061-T6", "uts_mpa": 312, "failure": "ductile", "result": "pass" }
  6. 06AI
    Training · evaluation · reinforcement learning
  1. 01 →The physical worldSamples, materials, machines, batches
  2. 02 →MeasurementsInstruments, sensors, test rigs
  3. 03 →Expert decisionsTechnicians, engineers, operators
  4. 04 →Verified outcomesPass / fail, failure mode, result
  5. 05 →Structured dataDocumented, de-identified, licensed
  6. 06 AITraining, evaluation, RL, agents

Why it matters

What AI needs isn't always more text.

Public data shows what people wrote. Operational data shows what actually happened. Process data shows how experts got there.

  1. Inputs
  2. Measurements
  3. Expert decisions
  4. Failures
  5. Corrections
  6. Verified outcomes

Worked example · Materials

Illustrative

  1. 01Input — material sample
  2. 02Measurement — stress test
  3. 03Expert action — engineer review
  4. 04Failure / exception — early fracture
  5. 05Correction — heat-treatment change
  6. 06Verified outcome — pass on retest

Failures & corrections

The best records often start with something going wrong.

Failures and fixes can be especially useful: they show models how experts recover when normal workflows break.

Sensor 07 · vibrationIllustrative
NormalAnomaly flaggedCorrected · verified

  • 01 — Manufacturing

    1. 01Machine state
    2. 02Defect
    3. 03Engineer diagnosis
    4. 04Corrective action
    5. 05Good production

  • 02 — Laboratory

    1. 01Sample
    2. 02Unexpected result
    3. 03Retest
    4. 04Expert review
    5. 05Verified result

  • 03 — Quality workflow

    1. 01Deviation logged
    2. 02Investigation
    3. 03Root cause
    4. 04CAPA approved
    5. 05Effectiveness check

What buyers look for

What makes data valuable?

The strongest datasets combine several of these.

SPEC 01
Proprietary
Not widely available online.
SPEC 02
Measured
Generated from real physical, scientific or operational processes.
SPEC 03
Verified
Contains known outcomes, pass/fail decisions, final resolutions or ground truth.
SPEC 04
Expert-reviewed
Contains judgment from engineers, scientists, technicians, operators or other qualified people.
SPEC 05
Longitudinal
Years of history may contain edge cases, rare events, failures and process changes.
SPEC 06
Connected
Inputs, measurements, actions and outcomes can be linked together.
SPEC 07
Multimodal
Structured records, signals, images, documents, video, audio or sensor data.
SPEC 08
Rights-cleared
Clear provenance and the right to license it.

More of these characteristics usually means more useful data.

Where it lives

Your data is probably already here.

Years of records in systems you use every day — 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.

Where we start

Where valuable records already exist.

All 11 categories

Who we're looking for

You know where the records are.

We usually start with one of these people. Not on the list? We still want to hear from you.

  • 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

Are you a fit? Book a call

How it works

Assess. Talk. Prepare. License.

See the full process
  1. 015 minutes

    Assess

    Describe your data. No uploads, no raw data.

  2. 0230-minute call

    Talk

    We agree what's in scope — and what isn't.

  3. 03Before transfer

    Prepare

    Rights review, de-identification, documentation.

  4. 04If a buyer fits

    License

    Signed terms. You're paid when a deal closes.

Evaluate Your Data Book a call

No sale is guaranteed. Nothing is shared without your approval.

For AI companies

You specify it. We source it.

Skip the catalog. Tell us what your model needs and we find the organizations that generate it.

Request a Dataset
  • 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.

Trust

Measured. Reviewed. Resolved.

Real measurements, expert decisions and verified outcomes — licensed only with the rights to do so.

No raw data for an initial evaluation

Nothing moves without authorization

Ownership is not the same as licensing rights

Specialist review where it is needed

How we handle rights, privacy and confidentiality

Differentiation

Real-world ground truth, sourced from the people who produced it.

DataNexx finds proprietary data AI companies cannot get from the public internet and helps the organizations that created it license it responsibly.

Read our data licensing principles

  • NOTWeb scraping

    Our datasets come from the organizations that generated them, with their authorization.

  • NOTConsumer data brokerage

    We do not trade in personal information about consumers.

  • NOTSynthetic data generation

    We work with measured data. It complements synthetic data rather than replacing it.

Own valuable data?

Check your data's licensing potential.

A confidential, no-raw-data assessment of your organization's scientific, industrial or operational records.

Evaluate Your Data Book a call

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.

Request a Dataset