Together Xebia and NVIDIA help enterprises move beyond AI experimentation and into production-scale adoption. We enable organizations to deploy and operate AI systems with the performance, governance, and operational control required in complex and regulated environments.

By combining NVIDIA’s AI platforms with Xebia’s production engineering discipline, delivery accelerators, and governance frameworks, this collaboration ensures AI systems are not only built but run successfully in real-world conditions, including environments where sovereignty, latency, and control are non-negotiable.

Partnership at a Glance

Partnership Launch

Supporting enterprises in operationalizing AI at scale with performance, governance, and control.

2026

Data and AI Consultants

Bringing deep engineering expertise to operationalize AI use cases in production with NVIDIA’s AI technology.

600+

Our Expertise

What We Do

Enterprise AI, Built for Production

Using NVIDIA’s AI platforms and software, Xebia helps organizations design and deploy AI systems that are engineered for production from the start, with clear operational models, governance, and lifecycle management.

Agentic and Multi-Agent Systems

Xebia supports the industrialization of agentic and multi-agent AI workflows, enabling secure orchestration, high-performance inference, and reliable operation in real production environments.

Secure, Sovereign, and Portable Deployments

Solutions can be deployed across private, hybrid, sovereign, and cloud environments, giving organizations control over data and execution. By combining NVIDIA’s AI stack with open-source technologies and Xebia’s cloud-agnostic engineering approach, enterprises avoid unnecessary vendor lock-in while maintaining data sovereignty.

Operational Excellence and Independence

Xebia integrates NVIDIA AI components into its enterprise AI delivery approach. This accelerates time-to-value while ensuring observability, reliability, and long-term operational independence well beyond the initial deployment.


Our People

Data & AI Leaders at Xebia


Mayank Verma

AI leader with 18+ years of experience designing and scaling enterprise AI/ML strategies. Mayank holds a U.S. patent for AI-driven fraud detection and specializes in delivering business impact through secure, production-grade AI solutions across industries.


Giovanni Lanzani

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.


Niels Zeilemaker

Global CTO at Xebia with broad experience across startups and global enterprises. Niels defines data tech stacks and drives architecture strategies, including data mesh implementations, to enable scalable and future-proof solutions.


Daniel van Dijk

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.


FAQs on Xebia and NVIDIA Partnership

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