Datadog, Inc. , a leading AI-powered observability and security platform, has announced the acquisition of Adaptive ML, a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform. The acquisition strengthens Datadog’s investment in AI research and agentic systems, enabling enterprises to build and deploy specialized AI models and agents at scale.
The acquisition of Adaptive ML supports Datadog’s broader strategy of advancing AI-driven observability and security solutions. Adaptive ML will join Datadog AI Research, where it will contribute to developing world models and post-training techniques for large language models (LLMs) tailored to observability use cases.
Datadog AI Research focuses on solving foundational AI challenges while collaborating with product and engineering teams to translate research breakthroughs into production-ready enterprise tools.
Adaptive ML’s core innovation lies in its Reinforcement Learning Operations (RLOps) platform, designed to help enterprises build and continuously improve their own AI agents and models using real-world operational data.
The platform enables organizations to move beyond static models by creating feedback loops where AI systems learn continuously from production environments, improving accuracy, performance, and decision-making over time.
As enterprise systems become increasingly complex, Datadog is focusing on transforming observability data into actionable AI intelligence. The integration of Adaptive ML supports this vision by enabling enterprises to convert infrastructure, application, and security signals into training data for specialized AI agents.
This approach aligns with Datadog’s broader investment in AI-driven tools, including research initiatives and products designed to automate investigation and resolution across security, code, and infrastructure environments.
Julien Launay, Co-founder and CEO, Adaptive ML
“We started Adaptive to give every enterprise the ability to perpetually improve its own AI. The missing piece was never the algorithm, the hardest part was production scale. With Datadog, and the continuous stream of real-world signals that only a platform operating at this unique reach can provide, we will work directly from the foundation that intelligent agents need to drive exponential productivity gains, reliably and consistently. With Datadog’s unmatched access to real-world infrastructure, we can accelerate towards continuous intelligence.”
Ameet Talwalkar, Chief Scientist, Datadog
“Our lab is focused on leveraging our data and domain expertise to build specialized agents and models, and to effectively turn our data into first-party intelligence. As we continue to bolster our R&D efforts and better serve our customers, bringing Adaptive ML on board is a natural fit to enhance and augment the work we are already doing within our lab.”
Datadog continues to invest heavily in artificial intelligence research and development, spending over $1 billion annually on innovation. The company has recently introduced initiatives such as Toto 2.0 and AI-powered products including Bits Investigation, Bits Code, and Bits Security Analyst, which automate large-scale analysis across observability and security workloads.
The acquisition of Adaptive ML reinforces Datadog’s long-term strategy of integrating AI deeply into observability, security, and infrastructure management.
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
