Enabling the next era of enterprise intelligence through the convergence of AI and operational systems

Enterprises are increasingly moving beyond digital augmentation and embracing Physical AI—the convergence of AI and operational technology (OT) that enables intelligent systems to sense, decide and act in the physical world. As OT environments grow more complex and mission-critical, Physical AI is proving essential for safety, adaptability and real-time decision-making.

HCLTech is at the forefront of this evolution. By working with NVIDIA, we’re advancing AI-powered solutions that optimize enterprise operations and extend AI’s reach into physical infrastructure. Together, we’re helping industries move from proof of concept (PoC) to scalable, production-ready deployments.

From Machine Learning to actionable autonomy

ML brought predictive analytics and automation into the enterprise. However, Physical AI goes a step further, allowing enterprises to control and optimize physical systems in real time. This is especially relevant for sectors like manufacturing, energy, logistics and utilities, where uptime, safety and efficiency directly impact profitability.

The shift to Physical AI is being fueled by three key drivers:

• Responsiveness: Autonomous systems powered by AI can detect changes and act immediately without human intervention.
• Safety and compliance: Edge intelligence and vision AI enable real-time monitoring of risks and safety parameters.
• Scalable transformation: Physical AI solutions are now robust enough to deploy across global, high-stakes industrial operations.

Physical AI in action: Our enterprise-ready solutions

HCLTech is enabling enterprises to adopt Physical AI at scale through an integrated suite of purpose-built solutions for operational environments. These include:

1. HCLTech SmartTwin

SmartTwin is our advanced digital twin solution, designed to bridge the gap between physical and digital ecosystems. Powered by AI and GenAI, SmartTwin creates intelligent, real-time replicas of assets, products and processes, providing predictive insights and scenario simulations to enhance decision-making.

Built on NVIDIA Omniverse™ and NVIDIA AI Enterprise™, SmartTwin enables photorealistic simulation, multi-CAD integration and autonomous asset training in a secure and scalable environment. It accelerates product development by up to 44%, reduces new product development costs by up to 40%, and improves operational efficiency by as much as 30%.

By continuously learning and evolving, SmartTwin empowers enterprises to achieve ‘first-time-right’ product launches, adapt to market shifts and ensure high performance across dynamic industrial environments.

2. HCLTech VisionX

VisionX is an AI-powered video and sensor analytics platform that brings real-time intelligence to the edge. It processes video, image and sensor data in real time to help improve defect detection, monitor safety and optimize industrial workflows. VisionX enables faster, smarter decision-making directly at the point of operation—enhancing productivity while reducing human error.

3. Virtual training and robotic simulation

Leveraging advanced tools like NVIDIA Isaac Sim™ and Metropolis, we enable enterprises to train and validate autonomous systems in virtual environments. These high-fidelity simulations help design, test and deploy robotics and automation workflows without the delays or costs associated with physical prototypes. This is especially valuable for industries where safety, speed and repeatability are crucial.

Scalable impact across the value chain

Our Physical AI portfolio is already delivering measurable business outcomes:

• Enhanced safety: Vision-enabled robotics reduces incident response time in hazardous environments.
• Improved reliability: Predictive analytics and continuous monitoring reduce unplanned downtime and extend asset lifespan.
• Accelerated time-to-market: Simulated environments and virtual prototyping speed up product development and innovation cycles.
• Greater adaptability: AI-powered decision systems allow for rapid reconfiguration of workflows, supply chains and manufacturing lines.

By leveraging NVIDIA’s simulation and AI platforms, HCLTech ensures these capabilities are scalable, secure and production-grade.

Looking Forward: Engineering the Autonomous Enterprise

As enterprises pursue resilience, efficiency and sustainability, Physical AI will become a foundational pillar of digital transformation. The integration of digital twins, autonomous systems and AI-powered analytics is redefining how businesses design, operate and evolve physical systems.

Through continued innovation and close collaboration with technology leaders like NVIDIA, we are helping enterprises turn their operational environments into intelligent, adaptive ecosystems. From energy and utilities to manufacturing and transportation, the future of industrial intelligence will be shaped by scalable, ethical and value-driven Physical AI deployments.