Corporate-quality, boutique care.
We’re a human-verified data labeling studio based in the Netherlands. Our promise: <1% error, clear communication, and results you can train on immediately.
What we believe
- Quality beats volume — every single time.
- People first: annotator → reviewer → founder QA.
- Partners, not vendors: we solve together.
Our story
ClarityLabel started with a simple idea: most models don’t fail because of algorithms — they fail because of poor data. We built a studio that obsesses over detail, feedback loops, and human accountability.
Today we support startups and research teams that need reliable, reproducible datasets without the overhead of managing large labeling operations.
How we work (3-step QA)
- Annotator pass: guided instructions, examples, and edge cases.
- Reviewer pass: second person checks, normalizes, and flags ambiguity.
- Founder QA: final consistency review and acceptance.
Guarantee: error rate <1% or we relabel for free.
Double Quality Check
Two pairs of eyes plus founder review. Your data stays consistent across the full batch.
Direct Communication
Always talk to the founder. Fast decisions, clear rules, zero bureaucracy.
<1% Error Guarantee
If we ever exceed 1% error, we re-label at no cost. That’s our commitment.
Founder’s note
“Clean data is a product. We treat it with the same care a craftsman gives a finished piece: slow where it matters, fast where it’s safe. If your model depends on it, we obsess over it.”
Values
- Clarity: simple instructions, examples, and edge-case playbooks.
- Care: treat every object as if it changes a prediction — because it does.
- Commitment: we fix mistakes; we don’t hide them.