Own Your AI. Control Your Data.
Scale with Confidence.
While 90% of enterprises are experimenting with AI, organizations in highly regulated industries are hitting a wall. They cannot deploy AI at scale without risking sensitive data leaving their jurisdiction or entering black-box managed services.
Forward-thinking organizations are now building AI capabilities they fully own and control. Xebia helps you move from experimentation to production-ready AI without compromising security, compliance, or control. Our solution is designed for regulatory confidence, operational transparency, and long-term flexibility.
Why Sovereign AI Matters?
As AI moves from experimentation to business-critical systems, organizations are rethinking how AI is built, deployed, and governed. What worked for early pilots often falls short when AI becomes embedded in core operations.
Sovereign AI is about choice, transparency, and long-term control, ensuring that your AI capabilities can evolve alongside regulatory requirements, business needs, and technology landscapes.
Rather than relying solely on fully managed services, many enterprises are adopting a ‘build once, run anywhere’ approach that enables seamless portability across on-premises and cloud environments.
Our Expertise
Define a future-proof AI foundation that aligns agentic architectures with regulatory, security, and business requirements.
Design and deploy high-performance, GPU-enabled AI platforms across on-premises, private cloud, or compliant public cloud environments.
Build and operate AI systems where you retain full ownership of models, data, and decision logic.
Ensure transparency, auditability, and compliance across the entire AI lifecycle.
Ensure reliable, secure, and cost-efficient AI operations with ongoing monitoring, orchestration, optimization, and lifecycle management, delivered by Xebia experts.
Equip your organization with the skills, processes, and technical knowledge to fully own, operate, and evolve your AI platform without long-term dependency.
Own your data, models, and infrastructure – no hidden dependencies.
Transparent AI systems you can audit, explain, and trust.
Architectural portability across on-premises and cloud environments.
Designed for compliance, auditability, and long-term risk mitigation.
Production-ready AI platforms built to grow with your business.
Uptime for critical AI processes via a self-contained stack.
Xebia partners with NVIDIA to deliver more than AI compute; we leverage the full NVIDIA AI Enterprise software stack to build sovereign, production-grade AI platforms. By integrating NVIDIA’s advanced software ecosystem directly into our Sovereign AI Platform, we ensure that clients can deploy cutting-edge intelligence while maintaining absolute control.
We offer the following NVIDIA technologies into the core of our Sovereign AI solution:
Serves as the high-performance inference engine of our Sovereign AI platform, enabling deployment of open models (such as Llama 3 or Mistral) anywhere: on-prem or in a private cloud. It provides orchestration and scale for secure, production-grade model inference within your controlled environment.
This enables self-hosted inference that runs entirely within your secure boundary, ensuring enterprise-grade security, lowest-possible latency, and full control over sensitive data without relying on external black-box providers.
Our People
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.
As the CTO, Xebia Cloud and Data Solutions, Diederik leads the Xebia Base initiative that focuses on building data, ML, and cloud infrastructure. An active programmer, he is a strong advocate for knowledge sharing and innovation.
Julian is a Data + AI Engineering Lead at Xebia Data. He builds MLOps platforms, AI products, and high-performing teams. With deep expertise in MLOps and a sharp eye on GenAI trends, he helps companies implement best practices and adapt to emerging technologies.
With 10+ years at the intersection of tech and business, Giovanni leads AI transformation at scale. Backed by a PhD in theoretical physics, he focuses on innovation, growth culture, and delivering sustainable impact through advanced data and AI solutions.
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.
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Enterprises are no longer asking whether AI works. They are asking how to deploy it responsibly, securely, and at scale.
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Why organizations need to treat sovereignty as a strategic design principle—not an afterthought.
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