Datadog Acquires Adaptive ML to Add RLOps Team to AI Research
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Datadog, Inc. acquired Adaptive ML, bringing the Adaptive ML team into Datadog AI Research. The move connected Adaptive ML’s Reinforcement Learning Operations (RLOps) work with Datadog’s research program tied to observability.
The announcement linked the acquisition to Datadog’s focus on observability and security and said Datadog had invested over $1B in R&D annually. It also referenced research initiatives such as Toto 2.0 and products including Bits Investigation, Bits Code, and Bits Security Analyst, which it said had conducted hundreds of thousands of investigations on behalf of customers.
Adaptive ML developed an RLOps platform described as enabling enterprises to build, own, and deploy their own specialized agents and models. Datadog said Adaptive ML would join Datadog AI Research to support work on world models and agentic LLM post-training for observability.
Datadog stated Adaptive ML would join Datadog AI Research and collaborate with Datadog product and engineering teams to translate research advances into products. Forward-looking statements in the release addressed potential benefits of new products and features.
“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.
Press release, provided by Globe Newswire on behalf of Datadog. Read the original.