Tata Consultancy Services (TCS) launched its Autonomous Engineering Lab powered by NVIDIA at its Global Axis campus in Bengaluru.The new facility will serve as a physical AI hub to accelerate real-world deployment of AI-led solutions across mobility and manufacturing. The lab is also meant to help enterprises move from pilots to production scale deployment to design, test and validate Industrial AI solutions. To do so, it provides a controlled environment for testing solutions before roll-out, reducing deployment risks and improving time-to-market.“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. We will build on this momentum into scaled deployment and enterprise-wide transformation for more customers,” said Sreenivasa Chakravarti, Global Head & Vice President of Industrial Autonomy and Engineering, TCS.According to Alvin DaCosta, Vice President, AI Consulting Partners, NVIDIA, enterprises require specialised infrastructure to bridge the gap between simulation and real-world deployment as they push to operationalise AI across physical operations. Through TCS’ Industrial Autonomy & Engineering (IA&E) capabilities, customers will be able to integrate AI into products, plants and operational systems to enable intelligent, software-defined, and autonomous enterprises.The lab features a comprehensive suite of solutions across mobility and industrial domains, including TCS DriveSphere, a connected, AI-led mobility platform, enabling software-defined vehicles through digital twins, real-time data ingestion, predictive analytics, and over-the-air lifecycle management.The AI-led Mobility & Autonomous Systems Solutions enable advanced driver assistance systems (ADAS), autonomous driving capabilities, perception systems, and intelligent decision-making. Physical AI & Smart Manufacturing Use Cases AI will be embedded into machines, plants, and industrial systems to enable predictive maintenance, automated quality inspection, and real-time process optimisation. Agentic AI & Vision AI Solutions Advanced AI systems capable of contextual decision-making across engineering, manufacturing, and service operations—enabling higher levels of autonomy.Digital Twin & Simulation Environments High-fidelity simulations, supported by blueprints of Industrial Autonomy for vehicles, factories, and operations will accelerate design validation, scenario testing, and lifecycle optimization.Published on July 15, 2026