Data category
Quality Control & QA
Inspections, dispositions and root-cause analyses — the record of expert judgment on real product.
Why it matters for AI
Measured, judged, resolved.
QC records capture decisions, not just readings: a qualified person looked at a measurement and decided what it meant. Those labeled judgments — including the failures — are some of the most useful supervision signals for industrial AI.
Typical data
- Inspections
- Pass / fail determinations
- Quality measurements
- Defect classifications
- Root-cause analyses
- Corrective actions
Representative workflow
Illustrative
- 01Part or batch
- 02Inspection plan
- 03Measurements
- 04Inspector disposition
- 05Root cause
- 06Corrective action
- 07Verified closure
Who typically holds it
- Quality departments
- Contract manufacturers
- Third-party inspection firms
- Certification bodies
Potential AI applications
- Quality-control and inspection models
- Computer vision for defect classification
- Root-cause reasoning agents
- Evaluation of industrial copilots
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.
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.