Scorecard is a simulation and evaluation platform designed to help teams build, test, and improve AI agents. Its approach centers on a fast feedback loop: teams can run agents through thousands of realistic scenarios, review results in minutes, and identify performance issues before deployment. The platform supports experimentation in an AI laboratory, structured testing, and managing and deploying agents to production without using an IDE.

Scorecard also helps teams organize prompt development by letting them create, test, version, and store prompts in a shared history. For measuring performance, users can draw on a validated metric library and industry benchmarks, customize existing metrics, or define measures tailored to their needs. Structured tests can run at large scale, including up to 10,000 scenarios, while the Scorecard Playground enables rapid experimentation.

By combining simulation, evaluation, and optimization, Scorecard aims to make AI performance clearer, surface risks earlier, and help teams ship with greater confidence.