The partnership brings Mistral’s frontier AI models directly to Cloudera customers’ governed data across cloud, on-premises and edge environments.
Cloudera, which says it is the only company bringing AI to data anywhere, and Mistral, a global frontier AI lab, on Wednesday announced a strategic partnership to bring secure, sovereign AI directly to enterprise data wherever it resides.
Cloudera and Mistral will combine Cloudera’s hybrid data and AI platform with Mistral’s sovereign AI models to give enterprises a secure path to build, customize and run AI using their own private data. The collaboration is designed to enable organizations to bring intelligence directly to their data across cloud, on-premises, edge, sovereign, and air-gapped environments, without requiring sensitive information to leave their control.
For enterprises managing large and sensitive data estates, the companies said, this approach provides greater control, choice and flexibility over how and where AI runs. Organizations can run inference privately, customize AI using proprietary data, and deploy AI applications within their existing security and governance boundaries, while gaining greater control over the economics of AI at scale.
“Enterprise AI is entering a new phase where organizations need more than access to powerful models — they need the freedom to unlock specialized intelligence using their data, on their terms,” said Abhas Ricky, chief business officer and general manager of applied AI at Cloudera. “Together with Mistral, we are giving enterprises the ability to run AI where their data lives, customize it with their own intellectual property, and maintain control over their data, infrastructure and economics. That combination of intelligence and control is essential to moving AI from experimentation into production.”
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Bringing Intelligence to the Data
For enterprises operating in highly regulated and data-intensive industries, moving sensitive or proprietary information to external AI services can introduce regulatory, security and operational challenges.
Cloudera and Mistral said they are addressing those challenges by bringing secure, sovereign AI directly to the enterprise data perimeter.
Mistral’s suite of frontier models and tools will be integrated with Cloudera’s hybrid data and AI platform, enabling customers to run their own custom AI models and applications across what the companies say is 30 exabytes of data. Enterprises will have deployment flexibility across public, private, on-premises and fully air-gapped environments, while maintaining consistent governance and control over their context.
The partnership will span Mistral’s portfolio of frontier AI models and tools, including reasoning, chat, coding, document intelligence and voice, giving Cloudera customers more choice in how they apply AI to their enterprise data.
By enabling organizations to run inference within their own environments, the collaboration is also meant to give customers greater flexibility over the economics of AI. Enterprises can choose the deployment model and infrastructure that best fit their workloads, rather than depending exclusively on public API consumption models as AI usage scales.
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From Private Inference to Proprietary Intelligence
Through Mistral Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge, organizations using Cloudera’s platform can customize and train models on large volumes of private enterprise data within controlled environments. For enterprises with petabytes of proprietary information, the companies said, this creates an opportunity to transform decades of institutional data and domain expertise into differentiated AI while maintaining ownership and sovereignty over both the data and the resulting intelligence.
Developers and practitioners will also be able to securely build AI-powered experiences using private enterprise data within local environments — from conversational access to governed data to AI-assisted software development and agentic workflows — without exposing sensitive business context or intellectual property to external environments.
Cloudera and Mistral also intend to collaborate on the next generation of AI at the edge, bringing increasingly capable inference closer to where enterprise data is created. The companies said this will let organizations explore intelligent applications across disconnected, latency-sensitive and resource-constrained environments where relying on centralized cloud infrastructure is not practical.
“Our mission is to make frontier AI available to enterprises without requiring them to give up control over their data, infrastructure or intellectual property,” said Kamal Brar, senior vice president of partnerships and alliances at Mistral. “Cloudera manages some of the world’s most valuable enterprise data estates, making this partnership a powerful opportunity to bring our technology directly to where that data lives. Together, we can give customers the ability to build AI that reflects their own data and expertise and deploy it securely wherever their business requires.”
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Expanding Choice for Enterprise AI
The partnership also expands the Cloudera Enterprise AI Ecosystem, through which Cloudera works with AI model, infrastructure, application and technology providers to give customers flexibility in how they build and deploy enterprise AI.
Mistral adds a new dimension to that ecosystem by letting customers access and customize its models and AI capabilities directly alongside their governed enterprise data. Both companies said the partnership reflects their commitment to an open approach to enterprise AI, giving customers choice across models, infrastructure and deployment environments rather than locking their data or AI strategy into a single technology stack.
The joint Cloudera and Mistral solutions will be available through Cloudera’s enterprise sales team and partner ecosystem, with additional integrations and capabilities rolling out over time.
