The simulation platform for agent self-improvement
Be at the frontier
You can't QA your way to the frontier.
Building more complex agents means you have to test each change against exponentially more scenarios to get it to work.
Self-improvement through simulation is how frontier labs build best-in-class agents. Now you can too.
The Fast Feedback Loop for Agent Development
Scorecard helps you make sense of AI performance. With tools to test and evaluate AI agents, map out real scenarios and bring clarity to AI performance. Gain insights, identify risks early, and ship with confidence.
Get feedback in minutes, Not weeks
Run your agent through thousands of realistic scenarios and get results in minutes. Stop waiting weeks for experts to review production logs.
Version and Store Your Best Prompts
Create, test, and track your best-performing prompts all in one place. Keep a history of what works and give your team access to a single source of truth.
Create Trustworthy Metrics
Start with Scorecard’s validated metric library to access industry benchmarks. Customize proven metrics or create your own to track what matters most to your business.
Run 10,000 SCenarios before you ship
Run structured tests that provide clear, actionable insights, so you can be confident in performance before going live.
Test at the speed of thought in the Scorecard Playground.
Learn more about how it all comes together
Scorecard creates a fast feedback loop for AI agents. You test smarter, validate the right metrics, and improve your agents with continuous evaluation
