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Adaptive ML was founded in 2023 by a team including Julien Launay, with a mission to help organizations build, own, and deploy specialized AI agents and models. The company developed the Adaptive Engine, an RLOps (Reinforcement Learning Operations) platform designed for enterprises to enhance their AI capabilities. This platform focuses on post-training and continuous improvement of large language models using real production data. The Adaptive Engine supports various features, including reinforcement learning-based fine-tuning, synthetic data generation, custom AI judges for evaluating model outputs, A/B testing of model configurations, and feedback loops for ongoing model enhancement. Adaptive ML's technology was utilized in enterprise deployments, particularly in areas like search optimization and customer support, processing tens of trillions of tokens across large organizations. On June 30, 2026, Adaptive ML was acquired by Datadog, which aims to leverage its expertise in AI research to enhance cloud observability and security.