Cognizant to deploy Neuro AI platform to accelerate enterprise AI adoption in collaboration with NVIDIA

Cognizant has announced advancements leveraging NVIDIA Artificial Intelligence (AI) to enhance enterprise AI adoption across five key areas, including AI agents and industry-specific large language models (LLMs). The collaboration is focused on accelerating AI integration for clients and aims to optimize operational efficiency and decision-making.

The five areas of focus include the development of enterprise AI agents, tailored industry LLMs, digital twins for smart manufacturing, robust infrastructure for AI, and the capabilities of Cognizant's Neuro AI platform to facilitate integration of NVIDIA AI technology across clients' technology stacks.

Annadurai Elango, president of Core Technologies and Insights at Cognizant, stated, “We continue to see businesses navigating the transition from proofs of concept to larger-scale implementations of enterprise AI. Through our collaboration with NVIDIA, Cognizant will be building and deploying solutions that accelerate this process and scale AI value faster for clients.”

Jay Puri, executive vice president of Worldwide Field Operations at NVIDIA, added that the Cognizant Neuro AI platform is designed to provide specialized applications and LLMs to support businesses in the Edge Resource Allocator (ERA) of AI.

Cognizant's advancements were highlighted at NVIDIA GTC 2025, where the company detailed its strategies, including enhancing multi-agent AI systems for adaptive operations, developing industry-oriented LLMs to improve business processes, utilizing digital twin technology, and providing robust infrastructure for running AI models across various environments.

The integration of NVIDIA AI technologies is expected to help Cognizant's clients improve efficiency and streamline their operations as they advance their AI initiatives. Nitish Mittal, a partner at Everest Group, noted the importance of Cognizant's partnership with NVIDIA in unlocking value during the evolving AI landscape.