Whether automotive, manufacturing, energy, or pharma: our sovereign AI infrastructure integrates into every industry, independent of your existing systems and processes.
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We make sure your company data and AI models stay on your own infrastructure, independent of external cloud providers and ready for the requirements of the EU AI Act.
You decide where your data stays
Solutions for data sovereignty in the enterprise give you full control over your company data and AI models, no matter where they are stored or processed. For companies across industry, energy, and pharma, this mainly means production, machine, and process data, for example machine parameters, defect patterns, or quality curves refined over years. Anyone who routes this data through a third-party AI provider gives up part of that knowledge and becomes dependent on that provider's pricing, availability, and legal jurisdiction. We build sovereign AI infrastructure that prevents exactly this. Models run on-premise or in your own environment, your data stays where it belongs, and you're prepared for the EU AI Act and NIS2 instead of reacting after the fact.
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Full control over your data
Your production, machine, and process data never leaves your own infrastructure. AI models run on-premise or in a self-hosted environment, traceable for IT, compliance, and works councils, instead of inside an external provider's black box.
Compliance from day one
The EU AI Act and NIS2 raise the bar for AI systems. On-premise AI systems with demonstrable data sovereignty and compliance solve these requirements technically instead of just documenting them, so you're compliant before the deadlines hit.
Predictable costs, no dependency
No single cloud provider's pricing or availability decisions dictate your AI roadmap. Self-hosted infrastructure makes cost and capacity predictable long-term, independent of external API terms.
Data sovereignty by the numbers
For over ten years, craftworks has worked on sovereign AI for industry within European research projects. In EuProGigant, a Gaia-X lighthouse project, we're building a shared production platform with European partners that keeps companies in control of their data. SurfAIce and ESMERA Suspicion show how we turn that research into concrete industrial solutions.
Data sovereignty in the cloud. What matters
Whether ChatGPT, Claude, Gemini, or Copilot: the best-known AI tools run on US providers' servers. What many companies underestimate is that as soon as employees enter design data, process parameters, or internal documents into these tools, that data leaves the company and may fall under the US CLOUD Act, which can grant US authorities access even if the servers are located in Germany or Austria. Data sovereignty means ruling that out. The answer isn't giving up AI.
Modern open-source models match the quality needed for many business applications and run wherever you decide: on-premise, with a cloud provider from Germany or the DACH region, or hybrid. We help you integrate these European alternatives into your infrastructure. Sensitive data stays in-house, non-critical workloads run wherever it makes the most economic sense.
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Successful growth is a decision. Driven by data.
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Frequently Asked Questions about Data Sovereignty
What does data sovereignty mean for companies
Data sovereignty is a company's ability to retain full control over its own data: where it's stored, who accesses it, under which legal jurisdiction it's processed, and who decides how it's reused, independent of an external cloud or AI provider.
What's the difference between data sovereignty and data protection?
What does data ownership mean?
What competitive advantage does data sovereignty bring?
What does Catena-X have to do with data sovereignty?
Is on-premise AI more expensive than cloud AI?
How do you get started with data sovereignty in the enterprise?
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