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
Nothing moves without authorization
Ownership is not the same as licensing rights
Specialist review where it is needed
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.