Cognizant expands enterprise AI solutions through NVIDIA-powered platform
The Cognizant Neuro AI platform, integrated with NVIDIA AI, will support industry-focused language models, agents, digital twins, and infrastructure.

The Cognizant Neuro AI platform, integrated with NVIDIA AI, will support industry-focused language models, agents, digital twins, and infrastructure.
Cognizant is advancing its artificial intelligence offerings by integrating its Neuro AI platform with NVIDIA technologies, aiming to accelerate enterprise-wide adoption of AI across a variety of industries. This collaboration focuses on five primary areas: enterprise AI agents, industry-specific large language models (LLMs), digital twins in smart manufacturing, foundational AI infrastructure, and end-to-end orchestration of AI systems within existing enterprise technology stacks.
Targeting scalable AI implementation for enterprise needs
With enterprises increasingly moving from pilot projects to broader AI adoption, Cognizant is aiming to streamline that transition by combining its proprietary platforms and accelerators with NVIDIA AI capabilities. The company is actively working with global clients to help scale AI investments more effectively, applying AI across operations with a holistic ecosystem that includes infrastructure, data, models, and agent development tools.
As part of the strategy, the Neuro AI platform is designed to integrate foundational elements of AI directly into business environments. By leveraging NVIDIA's software and hardware capabilities, Cognizant supports applications that include domain-specific LLMs and reasoning agents that help enterprises evolve their digital operations. The platform also provides tools to simulate complex environments through digital twins—particularly in manufacturing—and deploy AI infrastructure tailored to business goals.
In his statement, Annadurai Elango, President of Core Technologies and Insights at Cognizant, underlined the shift in market behavior, saying, "We continue to see businesses navigating the transition from proofs of concept to larger-scale implementations of enterprise AI." He noted that the partnership with NVIDIA is intended to "accelerate this process and scale AI value faster for clients through integration of foundational AI elements, platforms and solutions."
NVIDIA’s ecosystem powering domain-specific deployments
As AI becomes increasingly embedded in enterprise frameworks, integration across software and infrastructure layers is seen as essential. Jay Puri, Executive Vice President of Worldwide Field Operations at NVIDIA, emphasized the importance of this alignment, stating, "From models to applications, enterprise AI transformation requires full-stack software and infrastructure with access to domain-specific data."
This technical cooperation aims to address the evolving demands of sectors like healthcare, finance, retail, and manufacturing. Through joint efforts, Cognizant and NVIDIA are enabling organizations to adopt AI solutions that are tailored, scalable, and capable of transforming operational efficiency.
The partnership represents a strategic move to reposition AI from being an experimental technology to a fully integrated tool supporting everyday business processes.