Infosys, Intel Deepen Alliance to Take Enterprise AI From Pilot to Production

Infosys and Intel have expanded their collaboration to help enterprises move from AI pilots to production at scale.

The partnership brings together Intel’s high-performance, energy-efficient compute platforms and Infosys Topaz Fabric. It aims to advance open standards across the edge-to-cloud stack and accelerate scalable, secure, and cost-efficient enterprise AI deployments with measurable global impact.

Together, Infosys and Intel are co-innovating on the design, development, optimisation, and benchmarking of AI workloads across Intel Xeon processors, Intel Gaudi AI accelerators, and Intel AI PCs.

The collaboration emphasises “right-sized” AI architectures that balance performance, security, and total cost of ownership, unlocking predictable and production-ready outcomes for mission-critical use cases like IT operations, developer productivity, and automation workflows across industries.

This tie-up brings together data integration, model management, performance monitoring, and built-in security to help organisations move AI from pilots to real business use.

The solution also supports advanced AI agents that can access enterprise data, coordinate tasks, and operate with appropriate controls. The company said it makes it easier to run AI securely and reliably across complex and regulated environments powered by Intel’s compute platforms.

Salil Parekh, Chief Executive Officer, Infosys, said in a statement, “By bringing together Intel’s compute leadership and the capabilities of Infosys Topaz, we are enabling enterprises to unlock AI value at scale—securely, cost-effectively, and with clear business impact.”

“This aims to help our clients institutionalise AI at the core of their operations and transform their AI journey.”

Lip-Bu Tan, Chief Executive Officer, Intel, added, “Working closely with Infosys allows us to bring the power of Intel’s AI hardware ecosystem to enterprises globally. Together, we are delivering performance-optimised, energy-efficient, and open AI solutions that clients can deploy wherever their workloads reside, from data centres to the cloud to the edge.”