Agent Evaluation and Benchmarking Platform
A platform for systematically evaluating AI agent performance against custom test suites. Teams define success criteria, create test scenarios, and run automated evaluations to measure accuracy, reliability, and speed before deploying agent updates.
🎯The Problem
There's no CI/CD for AI agents. Teams push agent changes to production and pray. When they update prompts, swap models, or change tool configurations, they have no systematic way to know if the agent got better or worse.
💡The Solution
A testing platform where teams define evaluation scenarios with expected outcomes. The platform runs agents against these test suites automatically (on every prompt change or on a schedule) and reports pass rates, regressions, and quality scores.
👥Target Users
AI engineering teams, QA teams at AI-first companies, product managers overseeing AI features, MLOps engineers
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