Defect-grade labels for industrial inspection AI.
Visual-inspection models live or die on label precision — a missed scratch is a shipped defect. Labelix runs dedicated, in-office pods that label defects, anomalies and assembly states consistently across every product line you add.
- Independent & neutral
- In-office · NDA-bound
- Live in ~3 weeks
- Never crowdsourced
The annotation your models actually need.
The bottleneck isn't the model. It's the labels behind it.
Every new product line, factory or defect class needs a fresh labeled set before the model works.
Subtle, rare defects demand consistent reviewers — not a crowd that changes task to task.
Inspection imagery from your line is sensitive IP you can't send to anonymous workers.
A dedicated team — not a crowd you can't see.
Automated optical inspection · semiconductor & electronics defect detection · food & CPG quality · infrastructure & asset inspection.
A dedicated pod, live in ~3 weeks
We recruit and train a dedicated, in-office team for your domain and ramp it under daily QA — not a rotating, anonymous crowd. A small paid pilot proves quality before you scale.
Independent & data-firewalled
No Big-Tech owner, no conflicted incumbent. Your data is handled by vetted staff under signed NDAs in a controlled, access-controlled environment — never farmed out.
Consistency that compounds
The same retained team learns your taxonomy and edge cases, so each new product line, region, template or language is a re-train — not a restart.
Questions, answered straight.
Still have one? Tell us about your data and we'll scope a small paid pilot.
Defect and anomaly detection, surface and cosmetic flaws, assembly and presence verification, severity grading, and part/wafer/PCB labeling — as bounding boxes, segmentation masks or classification, scoped to your defect taxonomy.
Put a dedicated industrial & manufacturing vision pod on your data.
Start with a small paid pilot — see the quality before you scale. Independent, in-office, and live in about three weeks.