Build for every language & culture.
Training and evaluation data from native speakers in 100+ languages and 150+ countries - fine-tune for the contexts your model will actually encounter, not just English.
Models that work
in every language.
Native speakers judge and localize across languages and cultures.
Recruit native speakers
Verified locals, not second-language approximations.
Evaluate & localize
Translation, localization, and cultural judgment in context.
Localized, judged data
Culturally-grounded data for models that travel.
A loop that compounds.
Real human judgment, on a loop.
Improve your models with feedback from real, verified participants.
Recruit, gather human judgment, train, and evaluate - then run it again.
Built for high-quality AI data.
Verified human expertise, quality controls, and the full pipeline - from evaluation to fine-tuning.
Verified human expertise
Domain experts and everyday users - identity-verified across 150+ countries and 100+ languages.
Quality controls built in
Attention checks, inter-rater agreement, and fraud prevention keep every dataset clean.
The full pipeline
Evaluation, preference data, annotation, and fine-tuning - delivered into your stack via API.
One panel for every data need.
Evaluation, alignment, and fine-tuning data - from the same verified human network.
A global network of verified experts.
Wherever your model ships, recruit the real people who can judge it - by domain, language, and culture.
150+ countries
Recruit experts and everyday users wherever your model is used - real local judgment, not a US-only sample.
100+ languages
Multilingual and cross-cultural data from real native speakers - for models that work everywhere.
Verified & fraud-free
Identity-checked participants, sourced directly - never scraped, borrowed, or synthetic.
