Introducing Catalyst: Monitor, train, and deploy self-improving AI models

Catalyst is a newly launched platform designed to optimize production AI applications by integrating monitoring, evaluations, training, and deployment into a single system. It simplifies the process by using actual production data as a training environment, eliminating the need for synthetic environments and reducing costs significantly. Catalyst is compatible with existing OpenAI and Anthropic providers and can be integrated into a project with minimal code adjustments. The platform constructs training and evaluation datasets from real traffic, allowing for a continuous cycle of model improvement through its self-improvement flywheel, which manages data ingestion, training, and deployment. Catalyst's approach addresses the challenges of traditional reinforcement learning environments by providing a more efficient and direct method for improving production AI models. Currently available in public beta, Catalyst covers associated costs and offers users an opportunity to experience its full capabilities in optimizing AI systems using real-world data.

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