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Datadog Shares Climb After Company Acquires Reinforcement Learning Startup Adaptive ML - Datadog (NASDAQ:
Datadog, Inc. (NASDAQ:DDOG) shares are trading higher. The company announced it acquired Adaptive ML. * Datadog stock is gaining positive traction. Why is DDOG stock advancing? The Acquisition Adaptive ML is a frontier AI startup developing a Reinforcement Learning Operations platform designed to help enterprises build, own, and deploy their own specialized AI agents and models. The startup will join Datadog AI Research, accelerating the company's research efforts around world models and agentic LLM post-training for observability. Financial terms of the deal were not disclosed. Datadog AI Research focuses on fundamental technical problems and collaborates with Datadog's product and engineering teams to translate research advances into products -- an area where Datadog already invests more than $1 billion annually in R&D. Recent research initiatives include Toto 2.0, as well as products like Bits Investigation, Bits Code and Bits Security Analyst, which have conducted hundreds of thousands of investigations on behalf of customers. "We started Adaptive to give every enterprise the ability to perpetually improve its own AI. 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," said Julien Launay, co-founder and CEO of Adaptive ML. Datadog Shares Edge Higher DDOG Price Action: At the time of publication, Datadog shares are trading 3.65% higher at $269.87, according to data from Benzinga Pro. Image via Shutterstock This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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The Future of Autonomous Observability: Datadog Acquires Adaptive ML to Pioneer RLOps
Adaptive ML will join Datadog's AI lab to build frontier AI infrastructure to address cutting-edge research challenges within observability and security Datadog, Inc. 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.
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Datadog has acquired Adaptive ML, a frontier AI startup behind the world's first Reinforcement Learning Operations platform. The acquisition strengthens Datadog's AI research capabilities, enabling enterprises to build and deploy specialized AI agents while advancing work on world models and agentic LLM post-training for observability and security.
Datadog has completed an AI acquisition of Adaptive ML, bringing the reinforcement learning startup into its expanding research operations
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. The deal, announced with undisclosed financial terms, marks a significant move for Datadog as it intensifies efforts to develop specialized AI agents capable of handling increasingly complex software systems. Adaptive ML will join Datadog AI Research, the company's dedicated lab focused on translating fundamental technical problems into production-ready solutions.
Source: CXOToday
The transaction directly addresses the growing demand for enterprises to build, own, and deploy their own AI infrastructure rather than relying solely on third-party solutions. Adaptive ML developed what the companies describe as the world's first Reinforcement Learning Operations platform, or RLOps, designed specifically to enable this capability at production scale
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.Adaptive ML's Reinforcement Learning Operations platform tackles what co-founder and CEO Julien Launay identifies as the hardest challenge in enterprise AI: achieving production scale. "The missing piece was never the algorithm, the hardest part was production scale," Launay explained
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. The platform allows organizations to continuously improve their AI systems using real-world signals, a capability that becomes particularly powerful when combined with Datadog's extensive infrastructure reach.This acquisition positions Datadog to accelerate work on world models and agentic LLM post-training specifically for observability and security applications. The integration aims to deliver what Launay describes as "continuous intelligence"—AI systems that perpetually learn and adapt from the massive streams of operational data flowing through Datadog's platform
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. For enterprises struggling with AI complexity, this approach offers a path toward autonomous systems that improve without constant manual intervention.Datadog acquires Adaptive ML at a time when the company is already investing over $1 billion annually in R&D, a substantial commitment that underscores its strategic focus on AI-driven observability and security
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. This R&D investment has already yielded concrete results, including recent research initiatives like Toto 2.0 and products such as Bits Investigation, Bits Code, and Bits Security Analyst, which have conducted hundreds of thousands of investigations for customers1
.Ameet Talwalkar, Datadog's Chief Scientist, emphasized that the acquisition aligns naturally with the company's existing work. "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," he stated
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. The addition of Adaptive ML's team and technology accelerates this mission, particularly as AI continues to intensify complexity across software systems.Related Stories

Source: Benzinga
Investors responded positively to the news, with Datadog shares climbing 3.65% to $269.87 following the announcement
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. The market reaction suggests confidence in Datadog's strategy to differentiate through proprietary AI capabilities rather than relying on generic large language models.The acquisition positions Datadog to address a critical gap in the enterprise AI landscape: the ability to deploy frontier AI that learns continuously from operational environments. As organizations face mounting pressure to manage increasingly complex infrastructure, the combination of Adaptive ML's RLOps platform with Datadog's unmatched access to real-world infrastructure data could enable a new category of autonomous observability and security tools. Watch for how Datadog integrates these capabilities into its existing product suite and whether the continuous intelligence approach delivers measurable productivity gains for enterprises navigating AI-driven complexity.
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