Evaluate, Optimize, and Ship AI Agents
For teams building AI in high-stakes domains, Scorecard combines LLM evals, human feedback, and product signals to help agents learn and improve automatically, so that you can evaluate, optimize, and ship confidently.
Scorecard enables self-improving agents by creating a fast feedback loop where teams test smarter, validate metrics, and continuously optimize performance—replacing traditional workflows that rely on manual expert review
Scorecard provides agent management and deployment tools that identify real-world usage issues and allow non-technical team members to manage agents, reducing deployment friction
Scorecard provides validated metric libraries with industry benchmarks and allows custom metric creation, enabling teams to make evidence-based decisions backed by real data rather than gut reactions
Scorecard runs agents through 10,000+ realistic scenarios and delivers feedback in minutes instead of weeks, enabling teams to identify issues early and ship with confidence through structured testing and clear metrics
Scorecard's prompt playground and version storage features let teams create, test, track, and share their best-performing prompts in one centralized location, creating a single source of truth