Indian technology companies are widening their work with NVIDIA in 2026, moving beyond access to graphics processors and into the development of enterprise AI agents, digital twins, robotics, drug discovery systems and AI-ready infrastructure.
L&T Technology Services, Persistent Systems, Infosys, Tech Mahindra, Wipro and Tata Consultancy Services are among the companies using NVIDIA’s computing platforms, models and software frameworks. Their projects cover manufacturing, healthcare, customer service and back-office operations.
The collaborations also show a change in the role of Indian IT companies. Instead of limiting their work to implementing third-party software, they are developing industry-specific systems built on NVIDIA’s AI stack.
1. TCS Applies NVIDIA Technology to Manufacturing
Tata Consultancy Services is using NVIDIA platforms in manufacturing and physical AI projects.
Its work includes NVIDIA Metropolis, the blueprint for video search and summarisation, and Omniverse libraries. These tools can process industrial video, connect information with digital twins and support automated inspection.
TCS also demonstrated its physical AI capabilities at NVIDIA GTC 2026. Its work combines real-time sensing, simulation and automated decision-making through NVIDIA Omniverse, Isaac Sim, Metropolis and NVIDIA NIM.
The company’s NVIDIA-related projects extend across manufacturing, automotive, telecommunications and financial services.
2. L&T Technology Services Builds AI Systems for Industry and Healthcare
At NVIDIA GTC 2026, L&T Technology Services, or LTTS showcased a Virtual Lights-Out Factory designed to support more autonomous manufacturing operations. The system combines NVIDIA Omniverse, NVIDIA Isaac and CUDA-accelerated computing with digital twins, robotics and real-time decision-making tools.
LTTS has also developed an AI-powered digital twin platform for lung diagnostics. The platform uses CT scan data to reconstruct a three-dimensional model of a patient’s lungs, covering structures such as airways, blood vessels, lung lobes and lesions.
The system uses NVIDIA MONAI for medical-image processing and TensorRT for AI inference. It is intended to support respiratory diagnostics, surgical planning, biopsy procedures and bronchoscopy navigation.
3. Persistent Systems Takes NVIDIA AI Into Drug Discovery
Persistent Systems is using NVIDIA technology to develop specialised applications for the healthcare and life sciences sector.
In March, the company introduced a Generative Molecules and Virtual Screening solution built on NVIDIA BioNeMo and the NeMo Agent Toolkit. The platform brings together protein-structure prediction, molecule generation, virtual screening and compound-ranking processes.
The system is intended to assist life sciences companies during the early stages of drug discovery. It allows research teams to evaluate possible compounds digitally before moving selected candidates into laboratory testing.
Persistent’s work with NVIDIA is focused on computational drug discovery rather than general-purpose generative AI. The company is combining its engineering and healthcare capabilities with NVIDIA’s biomedical models and accelerated computing infrastructure.
4. Infosys Focuses on Enterprise AI Agents
Infosys is expanding its NVIDIA relationship through enterprise AI and agent-based applications.
The company is among the Indian global systems integrators working with NVIDIA AI Enterprise and NVIDIA Nemotron models. These tools are being used to build agents that can carry out defined tasks within customer-service, back-office and productivity workflows.
Infosys is linking the NVIDIA software stack with its Topaz portfolio of AI-first services and platforms. The work is aimed at helping corporate customers move AI projects from trial deployments into business operations.
The partnership adds to Infosys’ broader work with NVIDIA on generative AI, model deployment and enterprise-grade computing.
5. Tech Mahindra Targets Agentic and Sovereign AI
Tech Mahindra is also working with NVIDIA on enterprise agents and sovereign AI systems.
The company has used NVIDIA AI Enterprise to build AI frameworks for business applications. Its work covers areas such as automated operations, industry-specific AI services and computing environments designed to keep data and AI workloads within a country or organisation’s preferred infrastructure.
In 2026, the partnership has placed greater emphasis on agentic AI. Tech Mahindra is developing systems that can process information, make decisions within defined limits and complete multi-step business tasks.
NVIDIA has also identified the company as a partner for sovereign AI factories, which are designed to provide locally controlled infrastructure for training and running AI models.
6. Wipro Broadens Work Across AI Infrastructure and Automation
Wipro is expanding its NVIDIA partnership across enterprise AI, data centres and industrial automation.
In March, Wipro launched an AI-Data Center solution that combines Wipro Intelligence with NVIDIA AI Enterprise. The system is designed to support enterprise-scale AI deployments and modernise data-centre environments.
The company is also using NVIDIA NeMo and GPU-accelerated inference in a contact-centre system. Its functions include real-time transcription, conversation summaries, knowledge assistance, suggested actions and automated post-call documentation.
Wipro PARI, the company’s industrial automation business, is using NVIDIA infrastructure, Omniverse and the Isaac robotics platform for applications in the automotive and consumer sectors.
NVIDIA also lists Wipro among its partners for sovereign AI factories. This places the company across both application development and the infrastructure required to operate AI systems.
Partnerships Move Into Specialised Applications
The latest collaborations cover a wider range of NVIDIA technology than earlier cloud and GPU arrangements. Indian IT companies are now using NVIDIA models, development frameworks, simulation platforms and robotics tools to create systems for specific industries.
