SupaEval — Quality Intelligence for AI Agents

AI teams are shipping agents faster than ever. But when an AI agent fails in production, most teams only see the final response was wrong — not why it failed.

Was it the intent?
Retrieval?
Reasoning?
Tool call?
Prompt?
Context?

Debugging AI agents today often feels like debugging a black box.

SupaEval is building the quality intelligence layer for AI agents.

We help teams understand, measure, and improve the performance of their AI systems with structured evaluation, benchmarks, and actionable insights. SupaEval provides the infrastructure to run repeatable evaluations, compare agent versions, and track quality over time so teams can confidently ship AI into production.

With SupaEval, teams can:

• Detect exactly where an AI agent fails
• Run reproducible evaluations and benchmarks
• Compare releases and prompt changes
• Measure retrieval, reasoning, and generation quality
• Track reliability, latency, and cost

Our mission is simple:

Help every AI team build agents that operate with 90%+ quality in production.

If you're building AI agents, copilots, or RAG systems — SupaEval helps you move from guessing to knowing.

SupaEval

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