Cognizant will offer solutions across key growth areas, including enterprise AI agents, tailored industry large language models and infrastructure with NVIDIA AI.
Cognizant has unveiled significant advancements leveraging NVIDIA AI, designed to accelerate AI adoption across industries in five key domains: enterprise AI agents, industry-specific large language models (LLMs), digital twins for smart manufacturing, foundational AI infrastructure, and the integration capabilities of Cognizant’s Neuro® AI platform with NVIDIA AI technology to streamline enterprise-wide operations.
With a strong foundation of industry expertise, Cognizant collaborates with global clients to scale AI adoption efficiently. By integrating NVIDIA AI within its AI ecosystem—comprising infrastructure, data, models, and agent development—Cognizant is driving innovation and business transformation through active client engagements across various sectors.
“We continue to see businesses navigating the transition from proofs of concept to larger-scale implementations of enterprise AI,” said Annadurai Elango, president, Core Technologies and Insights, Cognizant. “Through our collaboration with NVIDIA, Cognizant will be building and deploying solutions that accelerate this process and scale AI value faster for clients through integration of foundational AI elements, platforms and solutions.”
“From models to applications, enterprise AI transformation requires full-stack software and infrastructure with access to domain-specific data,” said Jay Puri, executive vice president of Worldwide Field Operations, NVIDIA. “The Cognizant Neuro AI platform is built with NVIDIA AI to deliver specialized LLMs and applications to ready businesses for the era of AI with reasoning agents and digital twins.”
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At NVIDIA GTC 2025, Cognizant highlighted planned innovations in five core areas:
Enterprise AI Agentification with Cognizant® Neuro AI Multi-Agent Accelerator
Leveraging NVIDIA NIM™ microservices, this framework enables organizations to develop and scale multi-agent AI systems for real-time decision-making, adaptive operations, and enhanced customer experiences. Businesses can utilize a low-code framework to build and orchestrate AI agents or integrate pre-built networks for functions such as sales, marketing, and supply chain management. Additionally, enterprises can seamlessly incorporate third-party agent networks and a variety of LLMs.
Scaling Multi-Agent Systems
Cognizant is advancing business operations by integrating multi-agent architectures with NVIDIA NIM, NVIDIA Blueprints, and NVIDIA Riva speech AI. The future-proof agent architecture supports modular and adaptive designs, ensuring long-term scalability and security. With built-in security protocols and human oversight, these frameworks enable market-ready AI applications, including insurance claims underwriting, automated supply chain management, and contract management multi-agent systems.
Industry-Specific LLMs
Cognizant is developing LLMs tailored to industry needs using NVIDIA NeMo and NVIDIA NIM. These models leverage Cognizant’s domain expertise to drive operational efficiency and innovation. For example, a fine-tuned language model for healthcare administration enhances medical code extraction, improving accuracy, reducing errors, and ensuring compliance with HIPAA and GDPR. Internal benchmarking has demonstrated efficiency gains, reducing manual effort by 30-75%, increasing coding accuracy by 30-40%, and accelerating time to market by 40-45%.
Industrial Digital Twins for Smart Manufacturing
Cognizant is advancing digital transformation with NVIDIA Omniverse™, combining synthetic data generation, accelerated computing, and AI-driven simulations to optimize manufacturing and supply chain operations. This solution facilitates real-time insights, predictive analytics, and enhanced operational efficiency while integrating diverse datasets from sensors, applications, and systems. Enterprises can leverage digital twins to refine plant layouts, optimize capital expenditures, and enhance large-scale system management across factories, smart grids, warehouses, and cities.
AI Infrastructure and GPU-as-a-Service
Cognizant’s AI infrastructure, powered by NVIDIA, offers enterprises secure, scalable AI environments via “GPU as a Service,” supporting cloud, data center, and edge deployments. Utilizing NVIDIA RAPIDS™ Accelerator for Apache Spark, Cognizant helps organizations accelerate AI data pipelines for efficient and scalable AI workloads. In a real-world example, a major U.S. healthcare client achieved a 2.7x improvement in cost efficiency and a 1.8x boost in Spark workload performance using Cognizant’s AI infrastructure.
“As we enter the era of AI industrialization, enterprises are seeking to accelerate the value velocity of their AI investments—focusing on outsized economic impact, agentic-led workflow transformation, and industry-specific deployments,” said Nitish Mittal, Partner, Everest Group. “Cognizant‘s deepening partnership with NVIDIA signals the right trajectory for forward-thinking enterprises aiming to unlock breakthrough value in the AI era.”