Datadog Buys Adaptive ML to Boost AI Research Capabilities
Datadog acquires Adaptive ML to strengthen its AI lab focused on observability and security research challenges.
Datadog announced the acquisition of Adaptive ML, a move designed to accelerate the company's artificial intelligence research and development efforts, the cloud monitoring firm said Monday. Adaptive ML's team will be folded directly into Datadog's existing AI lab, where engineers will work on building frontier AI infrastructure targeting some of the most complex technical problems in observability and security.
The deal signals Datadog's intent to deepen its proprietary AI capabilities rather than rely solely on third-party models or off-the-shelf tooling. By absorbing a specialized ML team, Datadog positions itself to develop purpose-built AI systems tuned specifically for the performance monitoring and threat-detection use cases its enterprise customers depend on daily.
Read more Hop-on Inc. Gets Apple App Store Approval for Digitalage iOS App →
Observability platforms are increasingly under pressure to process massive volumes of telemetry data in real time, and security detection demands ever-faster pattern recognition — two domains where custom AI infrastructure can deliver meaningful advantages over generalized solutions. Bringing Adaptive ML in-house gives Datadog researchers direct control over the model development pipeline from the ground up.
The acquisition reflects a broader industry trend in which enterprise software companies are racing to own more of their AI stack, moving beyond integrations with large language model providers toward building specialized research labs capable of producing proprietary breakthroughs. For Datadog, whose platform monitors cloud-scale applications for thousands of companies, the competitive stakes of falling behind on AI are substantial.
Financial terms of the deal were not disclosed. Continue reading at GlobalNewswire.
