Evaluate agents under real-world pressure.
Test multi-step agents and tool use with humans in the loop - multi-turn scenarios, escalation, and task success judged by verified people, not single-turn benchmarks.

Judge agents on
outcomes, not vibes.
Humans run and grade real agent tasks - end to end.
Recruit expert evaluators
Verified specialists who know what "done right" looks like.
Run & grade agent tasks
Multi-step trajectories judged for completion, tool-use, and safety.
Completion & safety scores
Structured verdicts and failure traces, ready for your pipeline.
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.