Expert data for AI companies.
Verified physicians, lawyers, and native speakers in the languages your models are weakest in. Credentials checked, work sampled, delivered in days rather than quarters.
Model evaluation and ranking
Native speakers and credentialed professionals rate, rank, and correct model output against rubrics you define.
Expert-written data
Physicians, lawyers, engineers, and other licensed professionals author prompts, answers, and reference material in their own language.
Red-teaming and safety
Adversarial testing in dialects and cultural contexts that English-first red teams routinely miss.
Localization QA
Dialect-accurate review of translated and generated text, with clear, actionable feedback for every failure.
How engagements work
Send task type, language and dialect, tooling, volume, and timeline.
We shortlist verified experts from our pool and share profiles and rates.
A small paid batch validates rubric fit and quality before scaling.
Ongoing delivery with QA sampling, throughput reporting, and one point of contact.
Common questions
A verified network of native-speaking professionals for AI training data and evaluation. Doctors, lawyers, engineers, scientists, linguists. We focus on the languages where models are weakest: Arabic and its dialects, Hindi, Urdu, Swahili, Indonesian, and more than 20 others.
We're not a crowd of 250,000 anonymous workers, and we won't send you 400 resumes to sort through. Every expert here has had their license documents reviewed, their identity matched, and their knowledge tested. And we tag people down to the dialect. Egyptian Arabic and Gulf Arabic are not the same thing, and your model knows it even if your current vendor doesn't.
Days, usually. Not months.
In your own tools. Label Studio, Argilla, your internal platform, or a spreadsheet if that's what you use. Your data never touches our systems, and every expert signs an NDA before getting access.
Calibration before real work starts, golden sets during, agreement tracking throughout, and a senior expert reviews a sample of everything before it reaches you.