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Read moreHCLTech and NVIDIA have unveiled a new Physical AI Innovation Lab in Santa Clara, California, aimed at accelerating enterprise adoption of physical artificial intelligence and cognitive robotics.
Integrated into HCLTech’s global AI lab network, the facility is designed to help organizations worldwide experiment with, incubate, and scale advanced physical AI applications.
The lab leverages NVIDIA’s full technology stack—including NVIDIA Omniverse, NVIDIA Metropolis, NVIDIA Isaac Sim, NVIDIA Jetson, and NVIDIA Holoscan—combined with HCLTech’s suite of physical AI solutions such as VisionX, Kinetic AI, IEdgeX, and SmartTwin.
Its mission is to empower Global 2000 enterprises to simulate, test, and deploy robotic systems, automation workflows, and edge intelligence solutions to enhance competitiveness and operational efficiency.
“Generative physical AI holds transformative potential for industrial automation, but bridging the gap from digital simulation to real-world deployment remains a critical challenge,” said Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA.
“HCLTech’s innovation lab will enable businesses to develop, test, and validate the complex autonomous systems needed to turn AI ambitions into operational reality.”
Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCLTech, emphasized that the collaboration reinforces both companies’ shared focus on industrial AI.
“By combining HCLTech’s global AI engineering capabilities with NVIDIA’s cutting-edge platforms, this partnership marks a pivotal step in amplifying our synergies in the physical AI space,” Guntur stated.
“It empowers enterprises to reimagine physical operations, driving breakthroughs in robotics, automation, safety, and operational intelligence—strengthening our commitment to AI-powered transformation across industries and deepening our strategic alliance with NVIDIA.”
HCLTech’s physical AI portfolio integrates robotics, autonomous systems, intelligent edge technologies, simulation, and digital twins to boost productivity, resilience, and sustainability in real-time operational environments.
The company reports active collaborations with multiple Global 2000 clients in the physical AI domain, including a major port operator, a global high-tech leader, and a European mining firm.
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