Cognizant to Deploy Neuro AI Platform to Accelerate Enterprise AI Adoption in Collaboration with NVIDIA
Cognizant (NASDAQ: CTSH) has announced significant advancements in collaboration with NVIDIA AI to accelerate enterprise AI adoption across five key areas. The company's Neuro® AI platform will integrate NVIDIA AI technology to deliver solutions in:
- Enterprise AI agents using Cognizant® Neuro AI Multi-Agent Accelerator
- Industry-specific large language models (LLMs)
- Digital twins for smart manufacturing
- Foundational AI infrastructure
- Platform capabilities integration
Notable achievements include a healthcare-focused LLM that has shown 30-75% effort reduction, 30-40% improved coding accuracy, and 40-45% faster time to market. The infrastructure solutions have demonstrated 2.7x cost efficiency and 1.8x performance improvement in Spark workloads for a major U.S. healthcare client.
Cognizant (NASDAQ: CTSH) ha annunciato importanti progressi in collaborazione con NVIDIA AI per accelerare l'adozione dell'IA aziendale in cinque aree chiave. La piattaforma Neuro® AI dell'azienda integrerà la tecnologia NVIDIA AI per fornire soluzioni in:
- Agenti IA aziendali utilizzando il Cognizant® Neuro AI Multi-Agent Accelerator
- Modelli di linguaggio di grandi dimensioni specifici per settore (LLM)
- Doppie digitali per la produzione intelligente
- Infrastruttura IA di base
- Integrazione delle capacità della piattaforma
Tra i risultati significativi vi è un LLM focalizzato sulla salute che ha mostrato una riduzione dello sforzo del 30-75%, una migliore precisione di codifica del 30-40% e un tempo di commercializzazione più rapido del 40-45%. Le soluzioni infrastrutturali hanno dimostrato una efficienza dei costi di 2,7 volte e un miglioramento delle prestazioni di 1,8 volte nei carichi di lavoro Spark per un importante cliente sanitario degli Stati Uniti.
Cognizant (NASDAQ: CTSH) ha anunciado avances significativos en colaboración con NVIDIA AI para acelerar la adopción de IA empresarial en cinco áreas clave. La plataforma Neuro® AI de la compañía integrará la tecnología de NVIDIA AI para ofrecer soluciones en:
- Agentes de IA empresarial utilizando el Cognizant® Neuro AI Multi-Agent Accelerator
- Modelos de lenguaje de gran tamaño (LLM) específicos de la industria
- Gemelos digitales para la fabricación inteligente
- Infraestructura de IA fundamental
- Integración de capacidades de plataforma
Logros notables incluyen un LLM enfocado en la salud que ha mostrado una reducción del esfuerzo del 30-75%, una mejora en la precisión de codificación del 30-40%, y un tiempo de comercialización más rápido del 40-45%. Las soluciones de infraestructura han demostrado una eficiencia de costos de 2.7 veces y una mejora de rendimiento de 1.8 veces en cargas de trabajo de Spark para un importante cliente de salud en EE. UU.
코그니전트 (NASDAQ: CTSH)는 NVIDIA AI와 협력하여 다섯 가지 주요 분야에서 기업 AI 채택을 가속화하기 위한 중요한 발전을 발표했습니다. 회사의 Neuro® AI 플랫폼은 NVIDIA AI 기술을 통합하여 다음과 같은 솔루션을 제공합니다:
- 코그니전트® Neuro AI 다중 에이전트 가속기를 사용하는 기업 AI 에이전트
- 산업별 대형 언어 모델 (LLM)
- 스마트 제조를 위한 디지털 트윈
- 기초 AI 인프라
- 플랫폼 기능 통합
주목할 만한 성과로는 30-75%의 노력 감소, 30-40%의 코딩 정확도 향상, 40-45%의 시장 출시 시간 단축을 보여준 헬스케어 중심의 LLM이 있습니다. 인프라 솔루션은 주요 미국 헬스케어 고객을 위한 Spark 작업 부하에서 2.7배의 비용 효율성과 1.8배의 성능 향상을 입증했습니다.
Cognizant (NASDAQ: CTSH) a annoncé des avancées significatives en collaboration avec NVIDIA AI pour accélérer l'adoption de l'IA d'entreprise dans cinq domaines clés. La plateforme Neuro® AI de l'entreprise intégrera la technologie NVIDIA AI pour fournir des solutions dans :
- Agents IA d'entreprise utilisant le Cognizant® Neuro AI Multi-Agent Accelerator
- Modèles de langage de grande taille (LLM) spécifiques à l'industrie
- Jumeaux numériques pour la fabrication intelligente
- Infrastructure IA fondamentale
- Intégration des capacités de la plateforme
Parmi les réalisations notables, on trouve un LLM axé sur la santé qui a montré une réduction de l'effort de 30-75%, une amélioration de la précision de codage de 30-40% et un temps de mise sur le marché plus rapide de 40-45%. Les solutions d'infrastructure ont démontré une efficacité des coûts de 2,7 fois et une amélioration des performances de 1,8 fois dans les charges de travail Spark pour un important client du secteur de la santé aux États-Unis.
Cognizant (NASDAQ: CTSH) hat bedeutende Fortschritte in Zusammenarbeit mit NVIDIA AI angekündigt, um die Einführung von Unternehmens-KI in fünf Schlüsselbereichen zu beschleunigen. Die Neuro® AI-Plattform des Unternehmens wird die NVIDIA AI-Technologie integrieren, um Lösungen in folgenden Bereichen anzubieten:
- Unternehmens-KI-Agenten mit dem Cognizant® Neuro AI Multi-Agent Accelerator
- Branchenspezifische große Sprachmodelle (LLMs)
- Digitale Zwillinge für intelligente Fertigung
- Grundlegende KI-Infrastruktur
- Integration von Plattformfähigkeiten
Bemerkenswerte Erfolge umfassen ein auf Gesundheitswesen fokussiertes LLM, das eine Reduzierung des Aufwands um 30-75%, eine Verbesserung der Codierungsgenauigkeit um 30-40% und eine 40-45% schnellere Markteinführungszeit gezeigt hat. Die Infrastrukturlösungen haben eine 2,7-fache Kosteneffizienz und eine 1,8-fache Leistungsverbesserung bei Spark-Arbeitslasten für einen großen US-Gesundheitskunden demonstriert.
- Partnership with NVIDIA strengthens Cognizant's AI capabilities and market position
- Healthcare LLM demonstrates significant efficiency gains: 30-75% effort reduction
- Infrastructure solution shows 2.7x cost efficiency improvement
- Development of industry-specific AI solutions across multiple sectors
- None.
Insights
Cognizant's expanded collaboration with NVIDIA represents a strategic positioning in the enterprise AI implementation space as businesses move beyond pilots to scalable deployments. The announcement outlines five concrete offering areas that transform Cognizant from a traditional IT services player into an AI orchestration partner.
The Neuro AI Multi-Agent Accelerator is particularly significant as it addresses the emerging enterprise need for orchestrated AI agents that can work together on complex business processes. By leveraging NVIDIA NIM microservices, Cognizant is creating a technical advantage in the rapidly evolving multi-agent systems market.
The company's development of industry-specific LLMs shows early quantifiable results with their healthcare administrative model demonstrating
Their digital twin capabilities for manufacturing, powered by NVIDIA Omniverse, position Cognizant in the high-value industrial transformation segment where simulation capabilities can drive substantial operational improvements.
What's notable is the infrastructure component offering "GPU as a Service" - a critical capability as enterprises struggle with AI compute costs and availability. Their implementation for a healthcare client yielding 2.7x cost efficiency demonstrates tangible economic benefits beyond theoretical capabilities.
This comprehensive AI strategy across the technology stack - from infrastructure to industry solutions - strengthens Cognizant's competitive position against both pure-play AI firms and traditional IT service providers.
Cognizant's NVIDIA collaboration marks a significant business pivot toward higher-margin AI implementation services at a crucial market inflection point. As enterprises transition from experimental AI to production-scale implementations, Cognizant is strategically positioning itself as an orchestration layer between NVIDIA's sophisticated technology and enterprise clients seeking business value.
The five-pronged approach demonstrates mature strategic thinking by addressing the entire AI value chain - from infrastructure to industry-specific applications. Most compelling is their focus on multi-agent systems, which represents the next evolution beyond single-purpose AI tools. By developing pre-built agent networks for specific business functions, Cognizant is creating scalable, repeatable intellectual property that can drive margin expansion beyond traditional services.
Their industry-specific LLMs strategy is particularly astute, as it leverages Cognizant's existing vertical expertise while creating differentiated AI offerings. The healthcare administrative model's
The industrial digital twin offering addresses manufacturing efficiency - a sector where AI can drive substantial operational improvements with direct bottom-line impact. By combining NVIDIA Omniverse's simulation capabilities with their industry knowledge, Cognizant can address high-value manufacturing pain points.
Most importantly, the infrastructure component addresses the practical deployment challenges enterprises face - balancing performance, cost, and governance requirements. This full-stack approach positions Cognizant as a comprehensive AI transformation partner rather than a point solution provider.
Cognizant will offer solutions across key growth areas, including enterprise AI agents, tailored industry large language models and infrastructure with NVIDIA AI.
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™ 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™, 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™ 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.
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