HCLTech and NVIDIA have announced the launch of a new Physical AI Innovation Lab in Santa Clara, California, aimed at accelerating enterprise adoption of physical AI and cognitive robotics.
The facility is integrated into HCLTech’s global AI Lab network and is designed to help global enterprises experiment with, incubate and scale advanced physical AI applications.
The lab will leverage the full NVIDIA technology stack, including NVIDIA Omniverse, NVIDIA Metropolis, NVIDIA Isaac Sim, NVIDIA Jetson and NVIDIA Holoscan, in combination with HCLTech’s portfolio of physical AI solutions such as VisionX, Kinetic AI, IEdgeX and SmartTwin.
The goal is to enable Global 2000 organisations to simulate, test and deploy robotics, automation and edge intelligence systems that improve competitiveness and real-world operational efficiency.
"Generative physical AI is set to revolutionize industrial automation, but bridging the gap from digital simulation to real-world deployment remains a critical challenge," said Deepu Talla, VP of robotics and rdge AI at NVIDIA.
"HCLTech's innovation lab will help enterprises develop, test and validate the complex autonomous systems needed to turn AI ambitions into operational reality.”
Vijay Guntur, CTO and head of ecosystems at HCLTech, said the collaboration strengthens the companies’ joint focus on industrial AI.
“By combining HCLTech’s global AI Engineering capabilities with NVIDIA’s cutting-edge platforms, this new collaboration marks a pivotal step in strengthening our synergy in the Physical AI space,” Guntur said.
“It empowers enterprises to reimagine physical operations, driving breakthroughs in robotics, automation, safety and operational intelligence, reinforcing our commitment to scaling AI-led transformation across industries and further deepening our strategic collaboration with NVIDIA.”
HCLTech’s physical AI solutions integrate robotics, autonomous systems, intelligent edge technologies, simulation and digital twins to help enterprises enhance productivity, resilience and sustainability in live operational environments.
The company said it is already working with several Global 2000 clients in the physical AI domain, including a major port operator, a global hi-tech leader and a Europe-based mining company.
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