HCLTech Unveils VisionX 2.0 Multi-Modal AI Edge Platform with NVIDIA Technology
HCL Technologies announced VisionX 2.0, an upgraded multi-modal AI edge platform developed with NVIDIA technology for mission-critical industrial environments. The platform integrates advanced computer vision, vision language models, and edge-optimized generative AI using NVIDIA's physical AI computing stack including Blueprint for video search, DeepStream, Cosmos Reason VLM, and TAO. Key features include on-premises edge AI performance through NVIDIA Jetson and RTX PRO 6000 Blackwell GPUs, multi-modal AIoT engine for analyzing video, audio, LiDAR and IoT streams, and Zero-Trust edge security architecture with Dell NativeEdge deployments.

*this image is generated using AI for illustrative purposes only.
HCL Technologies has unveiled VisionX 2.0, an upgraded multi-modal AI edge platform developed in collaboration with NVIDIA, designed to deliver real-time intelligence and enhanced operational efficiency for mission-critical industrial environments. The announcement was made on February 20, 2026, marking a significant advancement in the company's AI edge capabilities.
Platform Architecture and Technology Integration
VisionX 2.0 builds upon HCLTech's award-winning Intelligent Secure Edge capabilities, incorporating advanced computer vision, vision language models (VLMs), multi-modal fusion, and edge-optimized generative AI. The platform harnesses NVIDIA's comprehensive physical AI computing stack to deliver unparalleled performance in industrial settings.
| Technology Component: | Details |
|---|---|
| NVIDIA Blueprint: | Video search and summarization (VSS) |
| Processing Framework: | NVIDIA DeepStream |
| Vision Language Model: | NVIDIA Cosmos Reason VLM |
| Model Training: | NVIDIA TAO for post-training vision models |
| Edge Computing: | NVIDIA Jetson and NVIDIA RTX PRO 6000 Blackwell GPUs |
| Deployment Platform: | Dell NativeEdge |
Key Innovation Features
The platform introduces several groundbreaking capabilities specifically designed for demanding industrial use cases. The on-premises edge AI performance enables real-time inference at the edge through NVIDIA Jetson and NVIDIA RTX PRO 6000 Blackwell GPUs with Dell NativeEdge deployments, effectively eliminating bandwidth bottlenecks while safeguarding data privacy for sensitive industrial operations.
VisionX 2.0's multi-modal AIoT engine represents a significant technological advancement, capable of analyzing multiple data streams simultaneously:
- Video and audio feeds
- Images and LiDAR data
- Stereo camera inputs
- IoT telemetry streams
This comprehensive analysis enables the detection of events, anomalies, safety violations, and operational risks with superior accuracy compared to traditional monitoring systems.
Enhanced Verification and Security
The platform features a VSS Event Reviewer for reliable verification, where selected computer vision clips are processed by Cosmos Reason to detect false positives and engage in additional natural language processing-based reasoning. This capability delivers scene-level insights and significantly boosts decision-making confidence for industrial operators.
| Security Feature: | Implementation |
|---|---|
| Architecture: | Zero-Trust Edge Security |
| Provisioning: | Zero-Touch Provisioning |
| Operating System: | Dell NativeEdge OS |
| Deployment: | Secure, scalable rollouts across distributed sites |
Industry Impact and Leadership Perspective
According to Vijay Guntur, CTO and Head of Ecosystems at HCLTech, VisionX 2.0 represents a fundamental shift in industrial intelligence delivery. The platform enables enterprises to transition from reactive monitoring to real-time, trusted decision-making agents where milliseconds matter, empowering organizations to achieve safer operations, higher efficiency, and scalable AI outcomes without compromising security or performance.
Deepu Talla, vice president of Robotics and Edge AI at NVIDIA, emphasized that the next wave of industrial transformation is driven by Physical AI—real-time, multi-modal intelligence that elevates performance, safety, and autonomy across global operations. The collaboration leverages NVIDIA Metropolis and NVIDIA Omniverse to provide enterprises with a trusted, scalable foundation for deploying high-performance AI at the industrial edge.
Company Profile and Market Position
HCLTech operates as a global technology company with more than 226,300 employees across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud, and software solutions. The company serves clients across major verticals including Financial Services, Manufacturing, Life Sciences and Healthcare, High Tech, Semiconductor, Telecom and Media, Retail and CPG, Mobility, and Public Services. Consolidated revenues for the 12 months ending December 2025 totaled $14.50 billion, reflecting the company's substantial market presence and technological expertise.
Historical Stock Returns for HCL Technologies
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.10% | -1.84% | -15.60% | -1.84% | -15.38% | +52.49% |


































