ZeroEval Analysis
What is ZeroEval?
ZeroEval specializes in enhancing AI agents through real-time evaluation and optimization. Their unique approach involves using calibrated LLM judges that learn from production data, enabling continuous improvement. This results in smarter AI agents that adapt and perform better over time.
Location
80 State Street, Albany, New York 12207, United States
Employees
1-10
Founded
2025
Industry
B2B
AI Category
AI-native
YC Batch
S25
YC Partner
Jon Xu
Who are the founders of ZeroEval
SC
Sebastian Crossa
Co-Founder
JC
Jonathan Chávez
Co-Founder
Product Description
ZeroEval specializes in enhancing AI agents through real-time evaluation and optimization. Their main product offerings include:
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Calibrated LLM Judges: These are AI models that learn from production data and improve over time. They help identify issues faster by learning from mistakes, which enhances the overall performance of AI agents.
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Real-time Tracing and Labeling: This feature allows for the instant capture and labeling of production traces, enabling teams to monitor and optimize AI performance continuously.
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Optimization with Human Feedback: ZeroEval's services include optimizing model generations by incorporating human feedback, which is derived from the production data, ensuring that the AI agents are aligned with user expectations and requirements.
Key Benefits:
- Continuous improvement of AI agents through learning from real-world data.
- Faster identification of issues, leading to more efficient troubleshooting.
- Enhanced adaptability of AI systems, making them smarter and more effective over time.
Overall, ZeroEval's offerings are designed to support AI development teams in tech companies and organizations that utilize AI agents for customer interactions.
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