Press Releases June 30, 2026 04:05 PM

Datadog Acquires Adaptive ML to Accelerate Its Investment in AI Research and Development

Datadog accelerates AI R&D with acquisition of Adaptive ML, enhancing its observability platform with advanced reinforcement learning technology.

By Priya Menon
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Datadog, a leading AI-driven observability and security platform, has acquired Adaptive ML, a startup specializing in Reinforcement Learning Operations. The acquisition aims to boost Datadog AI Research's efforts to develop sophisticated AI agents and models, improving software system observability through advanced continuous intelligence. This move complements Datadog's significant annual R&D investment and existing AI-driven product innovations.

Datadog Acquires Adaptive ML to Accelerate Its Investment in AI Research and Development
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Key Points

  • Datadog acquires Adaptive ML to integrate reinforcement learning operations and enhance AI-driven observability solutions.
  • Adaptive ML will join Datadog AI Research to accelerate development of world models and agentic large language models tailored for infrastructure monitoring.
  • Datadog is investing over $1 billion annually in R&D to maintain leadership in AI-powered security and observability platforms, including products like Bits Investigation and Bits Security Analyst.

NEW YORK, June 30, 2026 (GLOBE NEWSWIRE) -- Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced it has acquired Adaptive ML, a frontier AI startup developing the world's first Reinforcement Learning Operations (RLOps) platform, enabling enterprises to build, own, and deploy their own specialized agents and models.

Adaptive ML will join Datadog AI Research, accelerating Datadog’s investment and research efforts around world models and agentic LLM post-training for observability. Datadog AI Research focuses on fundamental technical problems and collaborates with Datadog's product and engineering teams to translate research advances into products.

“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,” said Julien Launay, co-founder and CEO, Adaptive ML.

“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,” said Ameet Talwalkar, Datadog's Chief Scientist.

As AI continues to intensify the level of complexity software systems are facing on a daily basis, Datadog has invested over $1B in R&D annually — significantly contributing to the end-to-end observability and security solutions it has delivered to customers. Recently, that includes research initiatives like Toto 2.0, as well as products like Bits Investigation, Bits Code, and Bits Security Analyst, which have already conducted hundreds of thousands of investigations on behalf of customers.

About Datadog
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.

Forward-Looking Statements
This press release may include certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on May 7, 2026, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

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Risks

  • Potential integration challenges of Adaptive ML's technology and teams into Datadog’s existing AI research infrastructure.
  • Uncertainty regarding the timely development and commercialization of new AI models and agents to deliver expected productivity gains.
  • Risks associated with rapid AI advancements and competition that could impact Datadog's market position in observability and security sectors.

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