Cognizant to Deploy Neuro AI Platform to Accelerate Enterprise AI Adoption in Collaboration with NVIDIA
Cognizant will offer solutions across key growth areas, including enterprise AI agents, tailored industry large language models and infrastructure with NVIDIA AI.
TEANECK, N.J., March 25, 2025 /PRNewswire/ -- Cognizant (NASDAQ: CTSH) announced advancements built on NVIDIA AI aimed at accelerating the cross-industry adoption of AI technology in five key areas: enterprise AI agents, industry-specific large language models (LLMs), digital twins for smart manufacturing, foundational infrastructure for AI, and the capabilities of Cognizant's Neuro(®) AI platform to integrate NVIDIA AI technology and orchestrate across the enterprise technology stack.
Cognizant is working with global clients to help them scale AI value efficiently, leveraging extensive industry experience and a comprehensive AI ecosystem comprising infrastructure, data, models, and agent development powered by proprietary platforms and accelerators. NVIDIA AI plays a key role in Cognizant's AI offerings, with active client engagements underway across industries to enable growth and business transformation.
"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."
At NVIDIA GTC 2025, Cognizant presented its intent to deliver offering updates across the following five areas:
-- Enterprise AI agentification powered by Cognizant(®) Neuro AI
Multi-Agent Accelerator: Running on NVIDIA NIM(TM) microservices, this
framework will enable clients to rapidly build and scale multi-agent AI
systems for adaptive operations, real-time decision-making and
personalized customer experiences. With these frameworks clients can
create and orchestrate agents using a low-code framework or use
pre-built agent networks for various enterprise functions and
industry-specific processes such as sales, marketing, and supply chain
management. The frameworks also allow clients to easily integrate
third-party agent networks and most LLMs.
-- Building multi agents for scale: Cognizant works to enhance business
operations through the use of multi-agent systems and integration with
NVIDIA NIM, NVIDIA Blueprints, and NVIDIA Riva speech AI. The company
will be developing a future-proof agent architecture that supports
modular and adaptable agent design to meet evolving needs and the
long-term viability and adaptability of AI solutions. This includes
pre-built integrations with security guardrails and human oversight.
This approach aims to enable enterprises to develop and deploy
market-ready applications tailored to their specific needs using the
pre-built agent catalog. Examples include industry agents such as
insurance claims underwriting multi-agent systems, appeals and
grievances multi-agent systems, automated supply chain multi-agent
systems and contract management multi-agent systems.
-- Industry LLMs: Cognizant is developing industry-oriented LLMs powered by
NVIDIA NeMo and NVIDIA NIM. These solutions are tailored to meet the
unique needs of different industries and build on Cognizant's deep
industry expertise to drive innovation and improve business outcomes.
For example, Cognizant has developed a fine-tuned language model to
transform healthcare administrative processes. This system will leverage
Cognizant's domain expertise and NVIDIA technology to enhance medical
code extraction and support higher accuracy, reduced errors, and better
compliance with HIPAA and GDPR standards. It is designed to help clients
cut costs, decrease latency, improve revenue cycle management and help
ensure accurate risk adjustment. In internal Cognizant benchmarking, the
model has demonstrated effectiveness in reducing effort by 30-75
percent, boosting coding accuracy by 30-40 percent, and accelerating
time to market by 40-45 percent.
-- Industrial digital twins: Cognizant's smart manufacturing and digital
twin offerings, accelerated by NVIDIA Omniverse(TM), will aim to drive
digital transformation by combining NVIDIA Omniverse's synthetic data
generation, accelerated computing, and physical AI simulation
technologies to address challenges in manufacturing operations and
supply chain management. These capabilities will be designed to assist
clients in enhancing plant layout and process simulations with real-time
insights and predictive analytics, while also supporting improved
operational efficiency and optimized plant capital expenditure. This
offering enables integration of diverse data from applications, systems
and sensors with synthetic data, allowing clients to simulate various
scenarios and find solutions to issues in the plant. Additionally, by
building the necessary digital infrastructure, including IT systems and
skilled personnel, Cognizant's offerings can be used to create and
manage digital twins for large-scale systems, such as factories, smart
grids, warehouses, or entire cities, with precision and efficiency.
-- Infrastructure for AI: Implementing AI effectively requires robust AI
infrastructure and data prepared for AI. Cognizant's infrastructure for
AI, accelerated by NVIDIA, will provide clients access to NVIDIA AI
technology via "GPU as a Service", along with secure and managed
infrastructure. This helps ensure that AI models can be run in various
environments, including the cloud, data centers or at the edge.
Additionally, Cognizant intends to use NVIDIA RAPIDS(TM) Accelerator for
Apache Spark to help clients accelerate data pipelines for AI
implementations, facilitating efficient and scalable operations. In one
example implementation for a large healthcare client in the U.S., use of
Cognizant's infrastructure for AI resulted in a 2.7x cost efficiency
improvement and a 1.8x enhancement in the performance of their Spark
workloads.
"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."
About Cognizant
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
For more information, contact:
U.S.
Europe / APAC
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Name Ben Gorelick
Name Christina Schneider
Name Rashmi Vasisht
Email benjamin.gorelick@cognizant.com Email Email
christina.schneider@cognizant.com rashmi.vasisht@cognizant.com
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