Company is active
Event Year: 2025
Company is active
Event Year: 2025
Lemma is designed to facilitate continuous learning and improvement in AI agents by leveraging user feedback and real-world production outcomes. Moving beyond traditional methods of manual prompt engineering and reactive debugging, Lemma proactively identifies performance degradation, precisely isolates the failure points within the AI agent's process, and automatically generates optimized prompt suggestions. These improvements can be seamlessly implemented through Lemma's API or by creating a pull request directly within the user's codebase.
Developed by experienced AI engineers who have personally encountered these challenges, Lemma transforms static AI agents into dynamic, self-improving systems. This empowers teams to accelerate the deployment of dependable AI products, achieving compounding performance enhancements over time.
Lemma's core philosophy: Deploy once, learn perpetually.
Lemma is designed to facilitate continuous learning and improvement in AI agents by leveraging user feedback and real-world production outcomes. Moving beyond traditional methods of manual prompt engineering and reactive debugging, Lemma proactively identifies performance degradation, precisely isolates the failure points within the AI agent's process, and automatically generates optimized prompt suggestions. These improvements can be seamlessly implemented through Lemma's API or by creating a pull request directly within the user's codebase.
Developed by experienced AI engineers who have personally encountered these challenges, Lemma transforms static AI agents into dynamic, self-improving systems. This empowers teams to accelerate the deployment of dependable AI products, achieving compounding performance enhancements over time.
Lemma's core philosophy: Deploy once, learn perpetually.
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
B2B
B2B
B2B -> Engineering, Product and Design
B2B -> Engineering, Product and Design
Team size: 2
Hiring: No
Team size: 2
Hiring: No