Trace keynote recap: See it, improve it, optimize it

Braintrust is tackling the challenges of AI observability and scalability by developing a platform that enhances the ability to surface meaningful insights from vast data volumes, enabling continuous iteration and automation. The platform leverages Brainstore, a purpose-built database providing rapid query performance and real-time trace visibility, to assist teams in diagnosing and resolving issues effectively without data loss. It introduces features like semantic search, SQL-first trace analytics, and trace-level scoring to streamline debugging and performance assessment. Braintrust's Topics and Loop functionalities allow for proactive issue discovery and iterative improvement by summarizing patterns and connecting observability with evaluations in a unified workflow. The introduction of the Braintrust CLI and Gateway further standardizes AI operations, enabling efficient model management and observability across various providers. By focusing on rapid iteration and systematic integration of AI SDLC processes, Braintrust aims to help teams create and maintain high-quality AI products.

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