Datadog announced that it has acquired Adaptive ML, a frontier AI startup focused on helping enterprises build, own, and deploy specialized agents and models. Financial terms of the transaction were not disclosed.
Datadog said off-the-shelf models are easy to deploy but often insufficient to solve complex, domain-specific production challenges. The company said sustained AI value depends on the ability to tune, evaluate, and refine models against an organization’s real-time signals.
Adaptive ML developed Adaptive Engine, a platform that enables enterprises to fine-tune open models using reinforcement learning and synthetic data generation. The platform also helps organizations evaluate models against business outcomes using custom AI judges and A/B testing.
Adaptive Engine is designed to close the loop by feeding production signals back into training. This enables organizations to build specialized models they own and that can improve with each deployment.
Datadog said combining Adaptive ML’s capabilities with its observability data will help accelerate the development of specialized AI agents and models for production environments. The company said the goal is to train these systems on real-world signals that matter across cloud observability and security.
The acquisition is expected to support Datadog’s work on autonomous operations. Datadog said the combination could help move AI agents beyond investigation and alerting toward systems that can learn, adapt, and act.
Datadog plans to bring Adaptive ML’s capabilities into its platform over time. The company said future updates will provide more details about how Adaptive ML’s technology will be integrated into Datadog.
