Simulates and evaluates AI agents for automatic learning and improvement.
Product memo
Teams building AI agents in high-stakes domains use Scorecard to enable automatic learning and improvement. It replaces traditional QA with simulation and feedback loops, allowing agents to optimize themselves. This approach helps teams iterate faster and deploy complex AI models with greater confidence.
For who
Teams building AI agents in high-stakes domains
Solves what
Enables AI agents to learn and improve automatically through simulation and feedback.
- Agent simulation platform
- Automated LLM evaluation
- Fast feedback loop for development
In their own words
The simulation platform for agent self-improvement
Run your agent through thousands of realistic scenarios. Get feedback in minutes, not weeks.
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 AI agents.
Commercial cues
Model
subscription
Free tier
Yes
Trial
No
Pricing Strategy
- • A free tier lowers adoption friction for early-stage AI agent projects.
- • Monthly billing provides flexibility for teams managing project-based budgets.
Operator context
Founded
Oct 2025
Platform
Web app
Audience
Developers
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Scorecard Expand
Scorecard provides a specialized platform for teams developing AI agents in high-stakes environments. It addresses the challenge of ensuring AI agent reliability by combining LLM evaluations, human feedback, and product signals.
This allows agents to learn and improve automatically through simulation, moving beyond traditional quality assurance. The platform offers features like agent simulation, LLM evaluation, human feedback integration, prompt versioning, and customizable metrics.
This focused approach helps developers iterate quickly and deploy complex AI models with confidence, making it a focused tool for advanced AI development.