Build better GenAI for with human feedback
Evaluate your models on metrics that truly matter, using our self-serve platform and ready-to-use subjective studies.
Trusted by researchers at
Transform opinions into evidence.
Create benchmarks by measuring preferences using our growing library of highly configurable studies.
Pairwise preferences
Collect unbiased preferences through side-by-side comparisons.
Surveys
Build surveys to gather qualitative feedback on your model's outputs.
Rubrics and learboards
Compile the results of your evaluations into a leaderboard to track progress over time.
How appropriate is this voice?
Localization
Interfaces localized into 13 languages. More on request.
Fluent raters
Raters fluent in many languages and dialects.
Filter out the noise
Find raters who perform well on your task.
Know the limits of your audio model.
Discover failure modes of your audio pipeline before your users do.
Integrate evaluation into your pipeline.
Upload datasets, configure experiments and retrieve results programmatically, without leaving your existing workflow.
RLHF
Define large-scale experiments to collect human feedback for model fine-tuning.
Regression tests
Create repeatable evaluations to test model performance over time and across versions.
Automated workflows
Use webhooks to automatically respond when data collection completes.
Evaluate interactive experiences.
Embed interactive avatars, 3D worlds, videos and custom interfaces directly into a study to collect structured feedback.
Any content
Display any content by embedding JavaScript or external sites.
Session recordings
Replay interactions to get a deeper understanding of the user experience.
Debugger
Debug implementations directly in the browser.