Generative AI
Preference, evaluation and supervised datasets for models that generate useful, relevant responses.
- Evaluation rubrics
- Expert contributors
- Reviewed outputs
Industries
We focus on AI use cases where language, technical knowledge or safety context materially changes what good data looks like.
Preference, evaluation and supervised datasets for models that generate useful, relevant responses.
Code review, debugging, test creation and technical evaluation with qualified developers.
Multilingual evaluation, localisation, intent work and culturally informed quality review.
Problem creation, solution verification and reasoning-quality assessment by capable specialists.
Conversation labelling, policy adherence, tone review and realistic support scenarios.
Policy testing, red teaming and structured identification of harmful or unreliable behaviour.
Need another specialist domain?
Share the exact expertise, language and review level. We’ll assess the contributor profile and operating requirements.