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TCS Launches Google Gemini Experience Centre in US for AI-Powered Manufacturing

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TCS Launches Google Gemini Experience Centre in US for AI-Powered Manufacturing
10 Mar 2026
5 min read

News Synopsis

Tata Consultancy Services (TCS) has announced the launch of a new Gemini Experience Centre (GEC) in Troy, Michigan, in the United States. The initiative is aimed at accelerating the adoption of artificial intelligence-driven solutions across the global manufacturing sector.

The new centre has been developed in collaboration with Google Cloud and will serve as a hub for manufacturers to explore next-generation industrial technologies powered by AI. According to the company, the facility will focus on Physical AI, a rapidly emerging field that combines artificial intelligence with robotics, sensors, and real-world industrial environments.

This centre is the seventh Gemini Experience Centre globally, reinforcing TCS’s commitment to expanding AI-led innovation across industries.

Partnership Between TCS and Google Cloud

The Gemini Experience Centre integrates Google’s Gemini AI models with TCS’s deep expertise in manufacturing and industrial transformation.

Gemini is a powerful AI model suite designed by Google to support enterprise applications including data analytics, automation, and intelligent decision-making.

By combining Gemini with TCS’ industrial solutions, the new facility aims to help manufacturers:

  • Test AI-powered manufacturing use cases

  • Deploy automation solutions faster

  • Improve production efficiency and workplace safety

The centre is expected to play a key role in demonstrating how agentic AI systems can operate in real-world manufacturing environments.

Focus on Physical AI in Manufacturing

A major highlight of the facility is the TCS Physical AI Blueprint, an end-to-end framework designed to integrate AI into industrial operations.

What Is the Physical AI Blueprint?

The framework combines multiple advanced technologies, including:

  • Robotics and autonomous systems

  • Advanced sensors and vision technologies

  • Edge computing and edge intelligence

  • Secure cloud orchestration

Together, these technologies allow AI systems to monitor factory environments, analyze operational data in real time, and make intelligent decisions.

This approach helps organizations extend AI capabilities beyond digital systems and into physical industrial environments.

AI Use Cases Demonstrated at the Centre

The Troy-based centre will showcase several practical applications of AI in manufacturing.

Key Industrial AI Use Cases

Manufacturers visiting the centre will be able to explore solutions such as:

Autonomous Patrolling and Surveillance

AI-powered robots monitoring factory floors and critical infrastructure.

Environmental Anomaly Detection

Systems capable of detecting unusual environmental conditions or hazards.

PPE Compliance Monitoring

AI-powered cameras ensuring workers follow safety protocols such as wearing personal protective equipment.

Intelligent Quality Inspection

AI models identifying defects in products during the manufacturing process.

Progress Mapping

Real-time monitoring of production progress and workflow optimization.

Predictive Equipment Health Monitoring

AI predicting machine failures before they occur, reducing downtime and maintenance costs.

These applications aim to improve productivity while maintaining safety standards in industrial environments.

Leadership Comments on the Initiative

Speaking about the launch, Anupam Singhal, President of Manufacturing at TCS, highlighted the importance of bringing AI directly into real-world industrial operations.

"Physical AI is where intelligence moves to the edge--into the real world of operations. With the launch of our Physical AI Gemini Experience Centre for Manufacturing, we are enabling manufacturers to extend visibility and decision-making into environments that are difficult, risky, or inefficient for humans to access."

Singhal also explained that the centre is built around a “human-in-the-loop” model, where AI systems collaborate with employees rather than replace them.

This approach ensures that workers remain central to decision-making while AI provides enhanced insights and automation.

Google Cloud’s Role in the Collaboration

Saurabh Tiwary, Vice President and General Manager of Cloud AI at Google Cloud, emphasised that the collaboration is focused on accelerating the deployment of agentic AI systems in industrial operations.

"Our partnership with TCS focuses on accelerating the deployment of agentic AI where it delivers the most significant value to industrial operations. Through the new Physical AI Gemini Experience Centre, we are equipping global manufacturers with the intelligence to build more autonomous, resilient, and data-driven enterprises, allowing them to fully optimize their business models with Google Cloud's leading technology."

The partnership highlights how hyperscale cloud platforms are increasingly working with IT service providers to deliver enterprise-grade AI solutions.

Global Expansion of Gemini Experience Centres

The Troy facility is part of TCS’ broader global strategy to expand its network of AI innovation hubs.

The company plans to establish 13 Gemini Experience Centres worldwide by the end of 2026, including six additional centres scheduled to open later this year.

Existing Gemini Experience Centre Locations

TCS already operates centres in several major global technology hubs, including:

  • Bengaluru

  • New York City

  • Chennai

  • Riyadh

  • Singapore

  • São Paulo

These facilities are part of TCS’ Pace innovation network, which connects startups, universities, research institutions, and enterprise clients to emerging technologies.

Supporting the Future of Autonomous Industrial Operations

The launch also reflects TCS’s strategy of collaborating with hyperscalers such as Google Cloud to help enterprises adopt AI technologies across the entire technology stack.

This includes:

  • Infrastructure and cloud platforms

  • AI models and machine learning systems

  • Production-ready enterprise applications

By integrating these layers, TCS aims to enable autonomous industrial operations where AI systems assist in monitoring, decision-making, and process optimization.

Conclusion

The launch of the Gemini Experience Centre in Troy, Michigan marks another milestone in TCS’s efforts to accelerate AI adoption in global manufacturing. By combining Google’s advanced Gemini AI models with TCS’s expertise in industrial transformation, the centre provides a platform where manufacturers can experiment with next-generation technologies such as robotics, predictive analytics, and intelligent automation.

As industries increasingly move toward agentic and autonomous operations, initiatives like this could play a key role in shaping the future of smart factories and AI-powered manufacturing worldwide.

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