TCS opens Bengaluru AI lab for industrial autonomy

TCS has opened the TCS Autonomous Engineering Lab Powered by NVIDIA at its Global Axis campus in Bengaluru, focused on industrial and mobility applications of artificial intelligence.

The lab is designed to help companies design, test and validate AI-based systems before wider deployment in manufacturing and transport. The site will serve as a physical AI hub, using NVIDIA infrastructure to support development and real-world implementation.

TCS described the centre as a first-of-its-kind facility within its network. It is intended to help enterprises move projects from pilot stages to production deployment, a challenge that has slowed broader AI adoption in industrial environments.

Customers will work with TCS engineering and industrial autonomy teams to prototype and simulate use cases across sectors before introducing them into operational settings. The focus is on mobility, manufacturing and industrial operations, where companies are applying AI to products, factory systems and service processes.

Industrial focus

The lab covers several areas, including connected vehicles, manufacturing systems and simulation. One is TCS DriveSphere, a connected mobility platform built around digital twins, real-time data ingestion, predictive analytics and over-the-air lifecycle management.

Another focuses on mobility and autonomous systems based on NVIDIA AI infrastructure, including advanced driver assistance systems, autonomous driving functions, perception systems and decision-making tools. The site will also support smart manufacturing projects such as predictive maintenance, automated quality inspection and process optimisation on factory floors.

The facility also includes agentic AI and vision AI applications for engineering, manufacturing and service operations. These systems are designed to support contextual decision-making and higher levels of autonomy across industrial environments.

Digital twin and simulation environments are another part of the lab's remit. They are intended to let companies test vehicle, factory and operational scenarios in controlled conditions before introducing systems into live settings.

Partnership scope

The opening expands an existing relationship between TCS and NVIDIA in AI, accelerated computing and industry-specific software. The latest move takes that relationship beyond technology integration into joint work on solution development, client engagement and internal expertise.

Users of the lab will also gain access to NVIDIA's ecosystem and computing resources. That access is intended to give engineering teams a place to validate systems before deployment and reduce the risks of introducing AI into operational environments.

Sreenivasa Chakravarti, Global Head & Vice President of Industrial Autonomy and Engineering at TCS, commented on the strategic role of the new site in Bengaluru.

"Bengaluru has long been the engine of India's economy, and this lab harnesses that energy to reimagine what's possible with AI. By combining NVIDIA's powerful AI platform with TCS' Industrial Autonomy & Engineering capabilities, we are creating a space where ideas move rapidly from concept to real-world impact, shaping the future of mobility and industrial systems. As we move forward into our next phase and deepen our collaboration, we will build on this momentum into scaled deployment and enterprise-wide transformation for more customers, with confidence and speed," said Sreenivasa Chakravarti, Global Head & Vice President of Industrial Autonomy and Engineering at TCS.

NVIDIA presented the initiative as a way to connect simulation work with implementation in physical operations, where businesses are under pressure to show practical returns from AI investments.

"As enterprises push to operationalize AI across physical operations, they require specialized infrastructure to bridge the gap between simulation and real-world deployment. Through this collaboration, the TCS Industrial Autonomy & Engineering Lab leverages the full stack NVIDIA AI platform to offer customers a scalable pathway for validating and implementing their next-generation industrial solutions," said Alvin DaCosta, Vice President, AI Consulting Partners organization at NVIDIA.