Key takeaways
- Xebia partners with NVIDIA and Anthropic to advance enterprise AI deployment from pilot to production.
- The collaboration focuses on infrastructure, models, and engineering essential for scalable AI systems.
- Xebia's approach combines compute, software, and governance to enhance data control and compliance.
- The enterprise GenAI ecosystem leverages Claude for deployment support and includes industry-specific use cases.
- Early implementations demonstrate significant improvements, including faster decision-making and reduced time-to-insight.
IT services firm Xebia has partnered with NVIDIA and Anthropic to help enterprises deploy AI systems at scale. The company said the collaborations focus on infrastructure, models, and engineering needed for production use.
The announcement outlines Xebia’s strategy to combine compute, software, and governance frameworks to move firms from AI pilots to full deployment. It will also support data control and compliance through sovereign AI approaches.
Through its work with NVIDIA, Xebia will use the company’s AI software stack, including NIM Microservices and AI Blueprints. The setup enables enterprises to build and deploy AI systems across hybrid environments.
“AI is no longer about having access to the latest models; it’s about what you do with them,” Anand Sahay, CEO of Xebia, said in a statement. “The real challenge, and opportunity, lies in turning potential into production in a way that is secure, governed, and outcome-focused.”
The company said this approach supports cloud-agnostic deployment with built-in observability and lifecycle management. It also allows organisations to run workloads across regions while meeting data residency requirements.
At the application level, Xebia has launched a Claude-powered enterprise GenAI ecosystem with Anthropic. As an authorised reseller, it will offer deployment support along with governance frameworks and industry use cases.
The company said early implementations show measurable gains. These include a 50–70% reduction in time-to-insight and faster underwriting processes in insurance. It also cited real-time knowledge systems that cut decision cycles from hours to seconds.
Sahay added that the partnerships aim to help organisations move from experiments to “engineered intelligence that delivers lasting value at scale.”
Xebia said it will support these efforts with its global team and training programmes, as it continues to focus on enterprise AI adoption.
