DataRobot has announced its acquisition of Agnostiq, a Toronto-based startup specializing in distributed computing solutions, to enhance its capabilities in developing agentic AI applications and managing compute resources. DataRobot, which focuses on enterprise AI and AutoML platforms, aims to integrate Agnostiq’s open-source Covalent platform into its ecosystem. This integration will enable businesses to improve compute orchestration across various environments (multi-cloud, on-premises, and hybrid) while utilizing different types of processors (CPUs, GPUs, NPUs).
The acquisition addresses challenges businesses face in transitioning to functional agentic AI applications, which often stem from managing fragmented tools and environments, leading to higher costs and inefficiencies. DataRobot’s CEO, Debanjan Saha, stated that integrating Agnostiq’s technology would allow AI teams to develop and manage agentic AI applications more effectively, producing tangible business results.
DataRobot’s platform caters to both technical and non-technical users, with features for automating tasks and customizing neural networks. By adopting agentic AI, DataRobot aims to simplify AI deployment while enhancing performance and reducing costs through dynamic compute orchestration. Agnostiq’s CEO, Oktay Goktas, expressed enthusiasm for the collaboration, emphasizing the potential for rapid AI solution development.
This acquisition is part of DataRobot’s broader strategy to solidify its presence in the enterprise AI market, following previous acquisitions like Algorithmia, Paxata, and ParallelM. Although Agnostiq has a background in quantum computing, the focus of this acquisition appears to shift toward AI and high-performance computing. The future role of quantum computing in Covalent under DataRobot remains uncertain.