HCL Tech gains on unveiling next-Gen multi-modal AI Edge Platform with NVIDIA
HCL Technologies is currently trading at Rs. 1453.55, up by 3.15 points or 0.22% from its previous closing of Rs. 1450.40 on the BSE.
The scrip opened at Rs. 1449.75 and has touched a high and low of Rs. 1455.30 and Rs. 1431.40 respectively. So far 20377 shares were traded on the counter.
The BSE group 'A' stock of face value Rs. 2 has touched a 52 week high of Rs. 1770.00 on 03-Feb-2026 and a 52 week low of Rs. 1304.00 on 07-Apr-2025.
Last one week high and low of the scrip stood at Rs. 1510.50 and Rs. 1431.40 respectively. The current market cap of the company is Rs. 393779.94 crore.
The promoters holding in the company stood at 60.81%, while Institutions and Non-Institutions held 34.62% and 4.57% respectively.
HCL Technologies (HCL Tech) has unveiled VisionX 2.0, an upgraded version of its multi-modal AI edge platform. This platform delivers real-time intelligence, enhanced safety and operational efficiency at scale for mission-critical industrial environments. VisionX 2.0 builds on the company’s award-winning Intelligent Secure Edge capabilities, integrating advanced computer vision, vision language models (VLMs), multi-modal fusion and edge-optimized generative AI. It harnesses the NVIDIA physical AI computing stack, including NVIDIA Blueprint for video search and summarization (VSS), NVIDIA DeepStream, NVIDIA Cosmos Reason VLM and NVIDIA TAO for post-training vision models for unparalleled performance.
Purpose-built for demanding industrial use cases, VisionX 2.0 introduces several innovations including On-Prem Edge AI Performance, Multi-Modal AIoT Engine, VSS Event Reviewer for Reliable Verification, Zero-Trust Edge Security and Seamless Integration.
By leveraging NVIDIA Metropolis and NVIDIA Omniverse, the company’s VisionX 2.0 platform provides enterprises with a trusted, scalable foundation to deploy high-performance AI at the industrial edge. The company’s Physical AI portfolio brings together the power of Kinetic AI (Cognitive Robotics), Autonomous Systems and Edge AI to drive productivity, resilience and sustainability in realworld environments.
