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Cognizant's Neuro AI Platform: A Game Changer for Enterprise AI Adoption

Cognizant, a global leader in business technology services (NASDAQ: CTSH), has unveiled its latest collaboration with NVIDIA to significantly speed up the adoption of Enterprise AI across various industries. This strategic partnership aims to deliver enhanced AI solutions, particularly in five critical areas: 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’s AI technology.

In today's fast-paced digital landscape, businesses are increasingly faced with the challenge of transitioning from proofs-of-concept to large-scale deployments of AI. Annadurai Elango, the President of Core Technologies and Insights at Cognizant, stated, “We continue to see companies needing to move from proofs-of-concept to large-scale deployment of enterprise AI. Working with NVIDIA enables Cognizant to build and deploy solutions that expedite this transition and accelerate the scaling of AI value for our customers.” This sentiment reflects the ongoing demand for AI capabilities that can drive efficiency and innovation.

Key Areas of Focus

During the NVIDIA GTC 2025 event, Cognizant highlighted its roadmap for advancing AI solutions in the following areas:

1. Enterprise AI Agentification

Cognizant is rolling out a multi-agent AI framework powered by the Cognizant Neuro AI Multi-Agent Accelerator, built on NVIDIA NIM™ microservices. This platform will help clients quickly develop and scale multi-agent AI systems, enabling real-time decision-making and personalized customer experiences. By leveraging low-code frameworks and ready-made agent networks, clients can create and orchestrate agents tailored for sales, marketing, and supply chain management.

2. Building and Scaling Multi-Agents

The company plans to enhance operational efficiency through multi-agent systems integrated with NVIDIA NIM, Blueprints, and Riva speech AI. Cognizant aims to develop a future-ready agent architecture that supports modular design to adapt to evolving needs. This includes pre-built integrations with monitoring support and human oversight for critical business processes, allowing companies to develop market-ready applications tailored to their specific requirements.

3. Industry-Specific LLMs

Cognizant is also focused on creating specialized LLMs tailored to different industries, leveraging NVIDIA NeMo and NVIDIA NIM. These models take advantage of Cognizant's deep industry knowledge to drive innovation and improve business outcomes. For example, a sophisticated language model has been developed to streamline administrative processes in healthcare—enhancing code extraction accuracy and adherence to HIPAA and GDPR standards.

4. Industrial Digital Twins

Cognizant is revolutionizing manufacturing through smart digital twins enabled by NVIDIA Omniverse™, which combines synthetic data generation and AI simulations to tackle challenges in manufacturing and supply chain operations. This initiative aims to improve factory layouts and process simulation by offering real-time insights, predictive analytics, and operational efficiencies while optimizing capital expenditures.

5. AI Infrastructure

To effectively implement AI, businesses require a robust infrastructure and ready access to data. Cognizant’s infrastructure for AI, accelerated by NVIDIA, will provide clients with