DataRobot Gives Enterprises Full Control Over Where and How Their AI Runs
BOSTON, July 22, 2026 — Sovereign AI has moved from a government concern to a boardroom one. The shift was recently accelerated when a government directive cut off access to a widely used AI model overnight with no warning, no transition period, and no recourse for the organizations that had built on it. Enterprises across financial services, defense, healthcare, and other regulated industries are now asking a question that didn’t used to come up: who actually controls our AI, the data it touches, and the infrastructure it runs on?
For years, the answer was assumed: run it in the cloud, trust the provider, move on. But that assumption is no longer holding true. Regulatory requirements are tightening, data residency rules are multiplying, and organizations are realizing that AI built entirely on third-party infrastructure means a third party always sits between them and their own systems, models, and data.
The hyperscalers’ answer has been in-region cloud offerings. But those efforts move slowly, carry steep operating costs, and typically ship with only a fraction of the services available in the primary cloud. Organizations that need sovereign infrastructure today are often told to wait or to settle for less. Leading industry analysts have taken note, specifically recognizing DataRobot’s governance strengths relative to the same cloud providers many enterprises are now hesitant to hand their most sensitive AI workloads to.
The DataRobot Agent Workforce Platform takes a different approach. It’s the only agentic AI platform that runs fully outside the public cloud, on-premise, air-gapped, in a virtual private cloud, or across any combination of public clouds, with the same governance, monitoring, and control wherever it runs. Organizations can bring their own models, including open-source models, and operate them entirely within infrastructure they own, with no dependency on a third party’s continued goodwill, uptime, or policy decisions.
“If you don’t own your models, your infrastructure, and your governance, you don’t fully own your AI. We built the DataRobot Agent Workforce Platform so enterprises never have to choose between capability and control. You get both — and the ability to actually put agentic AI into production, instead of stalling in review,” said Venky Veeraraghavan, Chief Product Officer at DataRobot.
This need is most acute where data residency and control are not optional. Financial services firms face strict regulatory scrutiny over where customer data lives. Defense and intelligence organizations require infrastructure no outside party can access, interrupt, or revoke. Healthcare systems must keep patient data within jurisdictional boundaries. For these organizations, the best AI platform means nothing if they don’t control it.
The DataRobot Agent Workforce Platform is co-engineered with NVIDIA and validated across infrastructure from Dell and Nebius, giving organizations the flexibility to deploy and govern AI on their own terms, wherever those terms require it to run.
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Learn more at https://www.datarobot.com/solutions/partners/dell/.
About DataRobot
DataRobot empowers AI teams to deliver the agentic workforce of the future. Our platform enables organizations to create and scale AI agents that integrate directly with business processes—driving efficiency, transforming operations, and delivering real results. With built-in governance and safeguards, we help enterprises deploy AI securely and confidently. For more information, visit our website and connect with us on LinkedIn.
Contact: press@datarobot.com