HCLTech supercharges AI Force and SmartTwin with NVIDIA tech to fast-track next-gen enterprise innovation

HCLTech has announced the integration of NVIDIA AI Enterprise and NVIDIA Omniverse into its GenAI platforms—AI Force and SmartTwin—as part of a broader strategic initiative to accelerate enterprise artificial intelligence (AI) adoption. This move represents a critical milestone in delivering scalable, generative AI-driven and simulation-powered capabilities across industries, allowing businesses to optimise operations, reduce development cycles, and simulate complex physical systems in real time.

With enterprises increasingly prioritising intelligent automation and predictive simulation, the collaboration between HCLTech and NVIDIA underscores a shift toward more dynamic, AI-first operational models. The combination of NVIDIA’s advanced AI stack—including NeMo Retriever, Llama Nemotron model family, and AI Blueprints—with HCLTech’s GenAI platforms enables faster decision-making, improved productivity, and lower time-to-market.

How does HCLTech’s AI Force benefit from NVIDIA AI Enterprise?

AI Force, HCLTech’s patented GenAI service transformation platform, is designed to inject intelligence across the software engineering and IT operations lifecycle. With NVIDIA AI Enterprise now embedded within it, the platform becomes significantly more powerful, enabling automation across requirements gathering, software design, coding, testing, deployment, and maintenance. Key capabilities such as NIM microservices and LLM-based code retrievers streamline developer workflows, improving both speed and code quality.

By integrating NVIDIA’s Llama Nemotron models and AI Blueprints, AI Force enhances generative code generation, debugging, and documentation. These tools are particularly relevant for enterprises dealing with legacy systems and manual processes, helping modernise their IT infrastructure with minimal human intervention.

Furthermore, the persona-driven design of AI Force means that every role—be it a developer, DevOps engineer, or QA analyst—benefits from AI-enhanced workflows. This personalised augmentation of roles using GenAI is a defining trend in software development, and HCLTech is among the early leaders delivering it at scale.

How does SmartTwin transform physical asset simulation using NVIDIA Omniverse?

HCLTech’s SmartTwin platform, now integrated with NVIDIA Omniverse, delivers a highly advanced digital twin solution capable of replicating physical assets, products, and processes in a photorealistic, real-time simulation environment. Leveraging OpenUSD pipelines and AI-driven data orchestration, SmartTwin simulates dynamic systems ranging from factory floors and data centres to smart cities.

With support for synthetic data generation and high-fidelity virtual training, SmartTwin enables organisations to simulate what-if scenarios, model risk and dependency chains, and conduct physics-based testing of systems and products before physical implementation. This capability is especially valuable in industries such as aerospace, manufacturing, automotive, and logistics, where simulation accuracy can result in significant cost savings and risk reduction.

SmartTwin also brings together IoT data, 3D design systems, process simulation, and AI insights into one secure environment. This cohesive architecture empowers enterprises to make proactive decisions, respond to operational changes in real-time, and ensure first-time-right delivery for mission-critical systems.

How do AI Force and SmartTwin align with enterprise GenAI strategies?

Together, AI Force and SmartTwin form the twin pillars of HCLTech’s enterprise GenAI strategy. While AI Force enhances digital workflows and accelerates software development, SmartTwin focuses on the physical and hybrid environments where virtual replicas improve system performance and predict failures before they occur.

These platforms reflect a growing trend where enterprises are adopting GenAI not just for automation, but for deeper operational intelligence. AI is no longer being used in isolation for standalone tasks—it is being embedded across organisational layers to deliver continuous insights, enable autonomous operations, and support data-driven leadership.

By tapping into NVIDIA’s full-stack AI infrastructure, HCLTech offers an integrated and interoperable enterprise-grade solution that can be customised across industries, including telecom, financial services, energy, and manufacturing.

What’s the stock market sentiment around HCLTech and NVIDIA following this integration?

HCLTech’s stock has shown signs of recovery in recent sessions. On April 21, 2025, it closed at ₹1,482, up 3.06% from the previous session. The positive momentum comes ahead of its Q4 FY25 results, with analysts projecting 9% year-over-year growth in profit and a 5–7% increase in revenue. While HCLTech’s shares are still down nearly 20% over the past quarter, its relatively low beta of 0.51 signals stability amid broader market volatility.

Institutional activity in HCLTech has seen Foreign Institutional Investor (FII) holdings ease slightly from 19.38% to 19.15% in the March quarter, while Domestic Institutional Investors (DIIs) have raised their stake from 15.3% to 15.5%. This divergence points to increasing domestic confidence in the company’s GenAI-driven strategic direction and service transformation roadmap.

NVIDIA, meanwhile, has faced mounting pressure due to U.S.-China trade tensions and export restrictions. Its stock closed at $96.91 on April 21, reflecting a weekly decline of over 7%. A key trigger was the disclosure that U.S. sanctions could impact up to $5.5 billion of NVIDIA’s revenue, primarily tied to AI chip exports to China. The ripple effect was evident as the Nasdaq index also declined in tandem.

Hedge funds have reportedly pared back exposure to major tech stocks including NVIDIA, bringing their holdings to the lowest levels in two years. This indicates a defensive stance among institutional investors concerned about regulatory headwinds and high valuations.

Despite the short-term volatility, NVIDIA’s long-term outlook remains resilient given its central role in powering AI infrastructure globally. The collaboration with HCLTech reaffirms its strategic pivot from hardware-centric revenues to recurring enterprise software and simulation platforms like Omniverse.

What’s next for enterprise AI and simulation adoption?

The convergence of generative AI, predictive analytics, and high-fidelity simulation is accelerating digital maturity in enterprises. By deploying NVIDIA’s AI Enterprise and Omniverse tools into its AI Force and SmartTwin platforms, HCLTech has created a blueprint for how organisations can operationalise GenAI—from software pipelines to factory floors.

As CTOs and CIOs reevaluate their digital strategies, demand is expected to surge for AI-enabled platforms that not only automate, but also simulate, optimise, and predict. HCLTech’s ecosystem-driven model—with NVIDIA at its core—offers scalable deployment options that can adapt to both cloud-native and hybrid enterprise environments.

With further investments expected in AI research hubs, sandbox development environments, and partner accelerators, HCLTech is poised to strengthen its role in shaping enterprise AI readiness in the coming decade.