Datadog has acquired Adaptive ML, a frontier AI startup developing the first Reinforcement Learning Operations platform for building and deploying specialised agents and models. Financial terms were not disclosed. Adaptive ML will join Datadog AI Research to accelerate development of world models and agentic large language model post-training for observability. The startup's technology enables enterprises to build and continuously improve their own AI systems at production scale. Founded to help enterprises perpetually improve their AI, Adaptive ML will leverage Datadog's real-world infrastructure data to develop intelligent agents. Datadog invests over $1 billion annually in research and development, recently launching products like Bits Investigation and Bits Security Analyst, which have conducted hundreds of thousands of investigations for customers.

Adaptive ML has appointed Marine Boulot as chief marketing officer and Sam Jones as chief revenue officer as the enterprise reinforcement learning platform moves to scale its commercial operations. The company has production deployments at AT&T, Manulife and Deloitte. Boulot brings over 20 years of marketing experience from companies including Palantir, Improbable and Veolia. Jones has over 15 years in enterprise revenue leadership, most recently as head of enterprise sales at Postman. The dual appointments signal Adaptive ML's push to establish category ownership in enterprise reinforcement learning. The company's platform enables organisations to build and improve AI models on their own infrastructure at up to 90% lower cost than closed alternatives. Adaptive ML is headquartered in New York with research operations in Paris.