TCS launches fully automated facility in Pune to advance AI-led manufacturing

Tata Consultancy Services launched a new lab in Pune. This facility is India's first lights-out factory lab for AI. It will help manufacturers prototype and validate AI-first production systems. The lab demonstrates how self-optimising factories a...

Reuters
FILE PHOTO: Figurines with computers and smartphones are seen in front of TCS: Tata Consultancy Services logo in this illustration taken, February 19, 2024. REUTERS/Dado Ruvic/Illustration/File Photo
New Delhi: Tata Consultancy Services (TCS) on Wednesday announced the launch of an Industrial Autonomy & Engineering Lab at its Sahyadri Park campus in Pune, which the IT major described as India's first lights-out factory lab aimed at advancing artificial intelligence (AI)-led manufacturing.

A lights-out factory refers to a manufacturing facility where autonomous systems operate production lines with minimal human intervention.

In a regulatory filing, TCS said the new facility houses a fully robotic battery pack assembly line. The live multi-stage setup will allow manufacturers to prototype, validate and scale AI-first production systems while reducing deployment risks.


The facility simulates how self-optimising factories can automate workflows by combining digital twins, robotics, industrial AI, factory control systems and real-time operational intelligence, the company said.

"With our state-of-the-art TCS Industrial Autonomy & Engineering Lab - Lights-Out Factory, we are advancing TCS' vision of engineering AI-first production systems. We have built a facility that can help customers turn their aspiration of lights-out manufacturing into a reality. The lab provides a tangible demonstration of how the Human + AI model can help enterprises progress from digitally enabled operations to increasingly autonomous production systems," said Sreenivasa Chakravarti, Global Head & Vice President of Industrial Autonomy and Engineering at TCS.

The Pune lab will support multiple industrial use cases, including predictive maintenance, automated quality inspection, real-time process optimisation, human-machine collaboration and autonomous factory operations.
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