DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business.
This is the broad commercial model reported for DataRobot. Product-level terms are listed below when available.
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DataRobot announced an expansion of its Agent Workforce Platform capabilities to allow enterprises to deploy and govern AI agents across diverse infrastructure environments, including on-premise, air-gapped, and hybrid cloud settings. The update aims to provide organizational control over AI infrastructure, mitigating risks related to third-party dependencies and data residency requirements. The platform is co-engineered with NVIDIA and validated for use with Dell and Nebius infrastructure to facilitate deployment for organizations in regulated sectors like finance, defense, and healthcare.
DataRobot introduced unified AI governance capabilities designed to function beyond public cloud silos. The feature set provides consistent policy enforcement, audit lineage, and compliance documentation across on-premises, edge, air-gapped, and sovereign environments. The architecture addresses three specific layers: agentic governance for registry and staging, IT governance for identity and access, and infrastructure governance for multi-tenancy and cost management. This solution is co-engineered with NVIDIA and validated with Dell and Nebius infrastructure to ensure portability and reliability in mission-critical applications.
Gartner recognized DataRobot as a Leader in the 2026 Magic Quadrant for Data Science and Machine Learning Platforms for the third consecutive year. The recognition highlights the company's progress in expanding its Agent Workforce Platform, which is vendor-agnostic and designed to operate across cloud, hybrid, and air-gapped environments. The company noted recent strategic partnerships with firms such as Dell, Nebius, and Aon, and emphasized its commitment to helping enterprises operationalize agentic AI workflows outside of hyperscaler-locked infrastructures.