Own Your Data. Control Its Flow. Trust What It Tells You.
Own Your Data. Control Its Flow. Trust What It Tells You.
In regulated industries, data is both the most valuable asset and the highest-risk liability. Organisations that cannot demonstrate where their data lives, who can access it, and how it flows through their systems face mounting regulatory exposure and strategic vulnerability. Xebia’s Sovereign Data Platform gives enterprises full ownership and control of their data foundation, built on open-source technology, deployed in your jurisdiction, and governed by design from day one.
Why Sovereign Data Matters?
Organisations have spent years accumulating data. Most of it sits in platforms they do not fully control - proprietary cloud services, vendor-managed databases, or infrastructure where access, processing, and residency terms are set by someone else. That worked when data was a supporting function. It is a liability now that data drives decisions, feeds AI systems, and sits in the crosshairs of regulators.
A sovereign data platform changes the relationship between an organisation and its data. It means your data is stored in open formats you own, processed by tools you control, governed by policies you set, and deployable in any jurisdiction your business requires. It removes the dependency on any single vendor’s roadmap, pricing, or terms of service. Running on Kubernetes, it is fully portable and can quickly (re)deploy to new infrastructure as needed.
For organisations building towards sovereign AI, the data platform is the prerequisite. Models trained on data you do not fully control, or that cannot be audited end-to-end, cannot meet the governance standards that regulated production AI demands. Sovereignty starts with data.
Our Expertise
Define the right data foundation for your organisation, one that aligns data residency requirements, regulatory obligations, and long-term business goals.
Design and build a production-grade sovereign data platform (Daedalus) across on-premises, EU cloud, or compliant public cloud environments. Open-source by default.
Embed governance into the platform itself: data cataloguing, lineage tracking, access policy enforcement, and audit trails. Compliance becomes provable, not just claimed.
Architect data flows so that sensitive data never leaves its required jurisdiction. Ensure every storage, processing, and consumption layer meets the applicable legal framework.
Equip your data and engineering teams to own, operate, and evolve the platform independently without long-term reliance on Xebia or any external vendor.
Ongoing platform monitoring, optimisation, and lifecycle management delivered by Xebia experts, so your team can focus on using data, not running infrastructure
Building a sovereign data platform requires more than selecting the right tools. It requires an integrated architecture that combines open storage, governed ingestion, transparent processing, and controlled consumption, deployed in an environment your organisation controls end-to-end. Xebia’s approach is built around five pillars, each of which can be adopted independently or combined into a complete sovereign data foundation.
Your data lives in your environment, processed by your tools, governed by your policies. No hidden copies, no vendor access.
A sovereign data foundation is the prerequisite for Sovereign AI. Once data is clean, governed, and jurisdictionally controlled, it can safely feed your AI systems.
Every component is open-source or open-standard. Switch infrastructure providers, cloud regions, or tooling without rewriting your data platform.
Demonstrate to regulators exactly where data resides and who can access it, at any point in time. GDPR, DORA, NIS2, and sector-specific requirements addressed by design.
Built on Kubernetes and cloud-native tooling. The platform grows from a single use case to enterprise-wide adoption without architectural rewrites.
Policy enforcement, access management, and lineage tracking are embedded at every layer, not applied as a compliance layer on top of an ungoverned system.
Book 30 minutes call with a Xebia adviser
Our People
Data Engineer at Xebia Data, specializing in architecting and building data platforms. With over 20 years of experience across professions, roles, and industries, I focus on solving the hardest challenges of clients. As an entrepreneur and Executive MBA, I work with clients to build integrated technical solutions using the most effective means.
Field CTO at Xebia Data, specializing in the architecture of Data & AI platforms. With over a decade of experience across Data Engineering, MLOps, and leadership, he builds “Golden Paths” across major clouds and Kubernetes. Julian has a special interest in Sovereign AI, leveraging the NVIDIA stack to help organizations build private, autonomous AI infrastructure.
Sales Lead for AI practice with 15+ years of experience across data, analytics, and enterprise technology. Daniel helps organizations turn AI hype into real business impact by productionizing Applied & GenAI use cases, building scalable AI capabilities, and designing future-proof data and agentic platforms.
Our Ideas
2025 marks a new phase in AI Adoption: the rise of agentic systems that act, reason, and collaborate autonomously - reshaping traditional business models.
Enterprises are no longer asking whether AI works. They are asking how to deploy it responsibly, securely, and at scale.
Why organizations need to treat sovereignty as a strategic design principle—not an afterthought.
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