CompanyAiDeveloper Tools
ZeroEval
ZeroEval is a New York-based AI startup from Y Combinator's Summer 2025 batch building an auto-optimizer for AI agents. Founded by Jonathan Chavez and Sebastian Crossa - two friends who met in college in Mexico - the platform captures every interaction your AI agent makes, scores quality with custom LLM judges, and automatically turns real production data into better prompts. The result: agents that get smarter after launch without manual intervention. Trusted by DoorDash, Datadog, Hugging Face, and Harvard Medical School, ZeroEval closes what the founders call 'the last mile reliability gap' in agentic AI.
2025Founded
New YorkHQ
YC standard (~$500K)Pre-Seed / YC Batch
ai-agentsllm-evaluationauto-optimizationobservabilityprompt-optimizationyc-s25
