HCLTech, the global technology services company, has unveiled a new innovation facility in collaboration with NVIDIA, aimed at accelerating enterprises’ adoption of physical AI, cognitive robotics and edge-intelligent automation.
The newly launched lab, located in Santa Clara, California, is integrated into HCLTech’s global AI-lab network and built specifically to help large enterprises (“G2000 organisations”) explore, incubate and scale physical AI and autonomous systems. The lab combines NVIDIA’s full stack of platforms, including Omniverse, Metropolis, Isaac Sim, Jetson and Holoscan.
It pairs these with HCLTech’s own physical AI offerings — such as VisionX, Kinetic AI, IEdgeX and SmartTwin — to provide end-to-end solutions for robotics, edge and real-world automation.
The facility will let enterprises move from simulation to real-world deployment, design, test and validate autonomous systems before broader roll-out.
“Generative physical AI is set to revolutionise industrial automation, but bridging the gap from digital simulation to real-world deployment remains a major challenge,” said Deepu Talla, VP of Robotics and Edge AI at NVIDIA.
“By merging HCLTech’s global AI engineering expertise with NVIDIA’s leading-edge platforms, this collaboration is an important step in strengthening our partnership in the Physical AI sector,” stated Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCLTech.
HCLTech’s physical AI solutions combine robotics, autonomous systems, and intelligent edge technologies with AI, simulation, and digital twins.
The HCLTech-NVIDIA Physical AI Innovation Lab is a concrete manifestation of the next phase of AI, not just software and models in the cloud, but intelligence embedded in physical environments: robotics, edge systems, and autonomous workflows.
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