Baserun

Baserun is an observability and evaluation platform for Large Language Model (LLM) applications that helps AI development teams streamline their entire development cycle from identifying issues to evaluating solutions. Founded in 2023 by Effy Zhang and Adam Ginzberg in San Francisco, Baserun emerged from Y Combinator's Summer 2023 batch to address the critical challenges developers face when building, testing, and deploying LLM-powered applications.

The company provides a comprehensive suite of tools that enable developers to test their LLM applications, identify and fix bugs, and ensure reliable performance in production. At the heart of Baserun's platform is an intuitive SDK that provides immediate insights into LLM features and agents during testing while continuously monitoring their behavior in production environments. The platform captures input variables, prompt templates, and critical metadata such as cost, latency, and token usage per LLM request, giving teams full visibility into their AI workflows.

Baserun has raised $500,000 in seed funding from Y Combinator and operates with a small but focused team of approximately 2 employees. The company's mission is to help AI teams ship LLM features with confidence by providing the testing, monitoring, and evaluation infrastructure necessary to build production-ready AI applications. With the rapid growth of generative AI applications, Baserun is positioned at the intersection of observability and AI development, serving the needs of startups and enterprises building the next generation of intelligent software.