HCL Technologies unveils VisionX 2.0, an advanced multi-modal AI edge platform developed with NVIDIA to deliver real-time intelligence at industrial sites, leveraging NVIDIA’s physical AI stack for video search, analysis, and decision support.

VisionX 2.0 uses a Multi-Modal AIoT Engine to analyze video, audio, images, LiDAR, stereo cameras and IoT telemetry to detect events, anomalies, safety violations and risks with high accuracy.

Security is built-in with Zero-Trust and Zero-Touch Provisioning on Dell NativeEdge OS, enabling secure, scalable rollouts across distributed sites and seamless integration with existing cameras, VMS and sensors.

HCLTech’s geographic revenue shows the United States as the largest market at about 60%, followed by Europe, with India and other regions making up the rest.

In market action, HCLTech shares slipped earlier but recovered about 1.5% from intraday lows, trading near Rs 1,452 after a roughly 14% drop over the past month.

Analyst sentiment remains cautious-to-neutral, with price targets around Rs 1,550, reflecting AI-driven growth expectations but concerns about macro factors.

Industry context shows AI adoption accelerating despite weaker tech spending, with Indian IT players expanding AI partnerships and positioning around industrial edge AI.

HCLTech is a global tech company with roughly 226,300 employees across 60 countries, reporting about $14.5 billion in revenue for the year ending December 2025 and serving wide client bases across Manufacturing, Financial Services and Public Sector.

HCL Technologies plans to participate in the Jefferies Mumbai NDR Corporate Roadshow from February 23–25, 2026, with meetings and potential investor interactions, while ensuring no unpublished price-sensitive information is disclosed.

Market outlook remains mixed: AI-driven opportunities are anticipated, but macro factors could temper near-term gains.

Note accompanies the announcement that NVIDIA collaboration and NVIDIA-validated technologies underpin VisionX 2.0.

The initiative signals a shift to real-time AI-driven decision support at the industrial edge, aiming to improve safety and efficiency while scaling across sites.