NOIDA, India, October 21, 2026 — HCLTech has launched an AI-powered Verification and Validation (V&V) solution for the automotive industry, combining NVIDIA’s simulation technologies, agentic artificial intelligence and open-model strategy to help automakers and Tier 1 suppliers accelerate vehicle software testing and release cycles.
The new offering, part of HCLTech’s Industry AI solutions portfolio, is designed to automate elements of automotive software validation, improve test coverage and streamline compliance reporting. It combines virtual simulation environments with AI agents to help engineering teams evaluate software performance across a broader range of driving scenarios, including rare and safety-critical conditions.
The launch comes as automakers increasingly adopt software-defined vehicle architectures, over-the-air updates and advanced driver assistance technologies. These developments are increasing the complexity of vehicle software validation and placing greater demands on traditional testing processes.
HCLTech Targets Automotive Software Testing Bottlenecks
As vehicles become more software-driven, automotive manufacturers must validate increasingly complex systems across multiple configurations, updates and regulatory requirements.
Traditional verification and validation workflows can involve fragmented tools, manual testing procedures and time-consuming compliance documentation. These challenges can slow product development and create bottlenecks between software engineering and release.
HCLTech’s new AI-powered V&V for Auto solution is designed to connect requirements management, test generation, execution, analysis and compliance evidence within a simulation-first operating model.
The approach aims to help automotive companies automate repetitive validation activities, investigate test failures more quickly and maintain traceable records linking software requirements to test results and compliance documentation.
By integrating these stages, the solution seeks to give engineering teams better visibility into release readiness while reducing dependence on physical testing alone.
NVIDIA Simulation Technologies Power the New V&V Offering
The solution combines HCLTech’s automotive engineering expertise, its Validation Factory model and agentic AI capabilities with NVIDIA’s simulation and AI technologies.
The technology stack includes:
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NVIDIA Omniverse: Supports simulation-based workflows and virtual environments for evaluating automotive systems.
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NVIDIA Cosmos: Provides world-model capabilities for developing and evaluating scenarios in physical AI applications.
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NVIDIA Alpamayo: Supports autonomous-vehicle development through AI-based reasoning and related capabilities.
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NVIDIA Omniverse NuRec: Supports reconstruction-based simulation workflows.
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NVIDIA Isaac Sim: Enables robotics simulation and testing in virtual environments.
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NVIDIA Agent Toolkit: Helps coordinate AI agents across validation workflows.
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NVIDIA Nemotron: Provides open-model capabilities that can support reasoning within agentic AI systems.
Together, these technologies are intended to help manufacturers generate and test a wider variety of virtual scenarios, including unusual road conditions and safety-critical situations that may be difficult or costly to reproduce through physical testing.
The platform also uses multiple AI agents to coordinate activities across the validation lifecycle. This can help engineering teams manage test creation, execution, failure analysis and documentation within a more connected workflow.
The objective is not to eliminate physical testing, but to expand simulation-based validation and help teams identify potential issues earlier in the development process.
How Agentic AI Could Transform Vehicle Validation
Agentic AI is becoming an important area of enterprise technology because AI agents can coordinate multi-step tasks rather than simply generate responses to individual prompts.
In automotive verification and validation, this approach could help automate activities such as preparing test scenarios, analysing results, investigating failures and organising evidence required for compliance.
HCLTech’s offering is designed to connect these activities while maintaining a digital record that links requirements, test results and reporting throughout the validation process.
This is particularly relevant for software-defined vehicles, where manufacturers may need to validate frequent software updates across different vehicle configurations.
Pankaj Tagra, Chief Growth Officer and Global Head of Mobility at HCLTech, said the solution is intended to help automakers move from periodic, labour-intensive testing towards continuous, intelligent validation.
Dr. Sebastian Scheurle, EMEA Industry Lead for Automotive Enterprise at NVIDIA, highlighted the role of NVIDIA’s simulation and AI technologies in helping manufacturers evaluate rare and safety-critical scenarios earlier and make software release decisions with greater confidence.
What the Launch Means for the Automotive Industry
The launch reflects a broader shift towards AI-enabled automotive engineering, as manufacturers look for ways to manage growing software complexity without proportionately increasing development time and testing costs.
The solution could be particularly relevant in three areas:
Faster software development: Automating parts of the validation process could help teams identify issues earlier and reduce delays between development and release.
Broader test coverage: Virtual environments can help engineers evaluate more scenarios, including conditions that are difficult to reproduce consistently in physical tests.
Improved traceability: Digital records connecting requirements, test results and compliance evidence can support engineering reviews and release-readiness assessments.
Actual improvements will depend on implementation, simulation fidelity, model performance and how effectively the system integrates with existing engineering tools and validation processes.
Conclusion
HCLTech’s AI-powered automotive Verification and Validation solution, built on NVIDIA’s simulation stack and agentic AI technologies, targets a growing challenge for vehicle manufacturers: validating increasingly complex software at the speed required by modern automotive development.
By connecting simulation, AI agents and compliance workflows, the offering aims to help automakers and Tier 1 suppliers expand test coverage, investigate failures more efficiently and accelerate software releases.
As software-defined vehicles continue to evolve, AI-assisted validation could become an increasingly important part of automotive engineering. Its long-term impact will depend on whether simulation-led workflows can deliver reliable results while meeting stringent automotive safety and regulatory requirements.
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Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape. She has written extensively on fintech, AI and emerging startups.