The difference between good and great comes from systematic experimentation. Compare any model or input head-to-head to improve the usefulness of your AI application
Instantly deploy new models, test combinations of models and parameters, and measure core user, performance, and business metrics
Benchmark your prompts offline using your evaluation datasets, then ship to production as an A/B test. By linking evals and real-world testing, your team can measures real impact
Run growth experiments to boost sign ups, reduce time to value, increase stickiness and long-term retention. Plus, link model or prompt changes to your core growth metrics
Track model inputs, outputs, user, performance, and business metrics all in one place. Then, optimize every surface for quality, speed, and cost