As manufacturers explore ways to bring artificial intelligence into real-world operations, L&T Technology Services (LTTS) has launched its 1st AI-native Engineering Intelligence (EI) Lab for digital manufacturing in India. The company also plans to establish a similar facility in the US by the end of the current financial year.
Built using Siemens and Nvidia technologies, the lab will demonstrate how AI-native manufacturing, digital twins and autonomous systems can work together across industrial lifecycles. It will focus on manufacturing shop floors, warehouses, distribution and supply chains, where AI can automate operations and improve productivity.
“AI is right now used in the area of application engineering, but I believe that the physical assets, whether it be on the edge of the product or it be on the shop floor and manufacturing, will actually be a lot bigger than what enterprise AI is today. So the intent of creating this lab, which is actually dealing with discrete manufacturing use cases at this stage, is to actually expand that discrete and process manufacturing,” said Amit Chadha, CEO and Managing Director of LTTS.
4 pillars of the EI Lab
The facility is built around 4 capability areas: manufacturing intelligence, AI-native factory, operations AI and autonomy, and EIOne.
EIOne is LTTS’ platform that combines more than 100 Engineering Intelligence solutions and agentic AI swarms within a single governed ecosystem.
“AI is transforming how manufacturers design, simulate and operate the factories of the future,” said Vishal Dhupar, Managing Director for South Asia at Nvidia.
“The EI Lab, combining Nvidia technologies spanning hardware, software and world models and LTTS’ deep engineering expertise, gives manufacturers a practical environment to explore and validate AI-driven, simulation-first approaches to industrial transformation.”
LTTS currently serves around 4 clients in the physical AI segment, including 2 in North America and 2 in Europe.
Chadha did not disclose the investment required to establish the lab or its planned workforce. However, he said the company spends around 2% of its revenue on internal research and development.
“We spend about 2 per cent on internal ER&D efforts, setting up labs, training people, building assets. So that is what we are leveraging here,” he added.
Physical AI aims to help AI systems understand and reason about the physical world. Its applications include robotics, simulation, product design, manufacturing and other real-world operations.
Also read: Viksit Workforce for a Viksit Bharat
Do Follow: The Mainstream LinkedIn | The Mainstream Facebook | The Mainstream Youtube | The Mainstream Twitter
About us:
The Mainstream is a premier platform delivering the latest updates and informed perspectives across the technology business and cyber landscape. Built on research-driven, thought leadership and original intellectual property, The Mainstream also curates summits & conferences that convene decision makers to explore how technology reshapes industries and leadership. With a growing presence in India and globally across the Middle East, Africa, ASEAN, the USA, the UK and Australia, The Mainstream carries a vision to bring the latest happenings and insights to 8.2 billion people and to place technology at the centre of conversation for leaders navigating the future.