What is Scorecard?
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.
Problem
Users (teams building AI in high-stakes domains) rely on manual evaluation processes and fragmented feedback systems leading to slow iteration cycles and inconsistent agent performance
Solution
AI evaluation platform (dashboard) that combines LLM evals, human feedback, and product signals to automatically improve AI agents, enabling users to test, optimize, and deploy AI systems confidently
Customers
AI developers, product managers, and engineering teams at enterprises or startups building mission-critical AI applications (e.g. healthcare, finance, legal tech)
Unique Features
Unified feedback system merging automated LLM evaluations with human judgment and real-world product metrics
User Comments
Accelerates AI deployment cycles
Reduces performance risks in production
Simplifies team collaboration on agent tuning
Provides actionable improvement insights
Essential for compliance-sensitive AI systems
Traction
No public metrics disclosed
Market Size
The global AI engineering tools market is projected to reach $10.2 billion by 2027 (MarketsandMarkets)
