McLaren Accelerates Product Development With Agentic AI
McLaren Automotive is reshaping future product development by embedding end-to-end agentic AI across its entire engineering lifecycle.
Rescale’s digital engineering platform, powered by NVIDIA and tailored for McLaren, uses a perfect-fit AI stack to deliver speed and scale across the design and engineering process. McLaren can now explore a wider design space, run complex tests and simulations much faster, tune every component with greater precision and cut repetitive manual work with engineering agents. This approach speeds up product development and protects McLaren’s engineering heritage by giving teams more time for high-value design and engineering thinking.
Nick Collins, Chief Executive Officer of McLaren Automotive, explained: “This is a genuine strategic transformation for the business. By continuously compounding and optimising our data, our intelligence and our engineering philosophies at unimaginable speed, we can deliver product developments at pace, while protecting the DNA of our company.”
Within the Rescale environment, McLaren trains the platform exclusively on its own data and uses NVIDIA AI infrastructure, AI physics models and agentic engineering libraries. This unified digital engineering platform connects McLaren CAE, systems engineering and design through a single AI data fabric that learns continuously, optimises performance and maintains McLaren’s quality standards and performance characteristics.
“Our foundational platform allows McLaren to leverage the latest agentic engineering technologies powered by NVIDIA AI infrastructure, providing a compounding source of competitive advantage for engineers in critical areas of product development, such as carbon materials, structural dynamics, durability, and ultimately the programmatic scaling of engineering excellence across every discipline, to deliver world-class products faster,” said Joris Poort, Founder and CEO of Rescale.
“The future of automotive engineering is being rewritten by agentic AI and advanced simulation, turning decades of design heritage into a live, generative engine that accelerates every stage of the vehicle lifecycle,” said Tim Costa, Vice President & General Manager, Computational Engineering at NVIDIA. “By integrating Rescale’s unified control layer with NVIDIA’s open models for agentic AI and accelerated physics, McLaren is compressing years of traditional simulation into hours of real-time design exploration.”
AI-accelerated workflows let McLaren move beyond the limits of traditional physics and computational modelling. AI-driven physics cuts simulation time, while each test feeds fresh data back into the system to improve surrogate models and deepen AI agents’ understanding of the physical world. Engineers can assess thousands of design iterations in hours across multiple physics and engineering domains, which changes how quickly they can reach an optimal design. Machine learning models also provide real-time performance prediction, including instant insight into manufacturing performance for high-performance carbon fibre structures and components.
Rescale also helps McLaren automate complex, repetitive engineering tasks, boosting expert productivity by 3x on NVIDIA-powered infrastructure. The platform builds engineering knowledge graphs that capture insight from previous work, support agentic engineering workflows and speed up product development decisions.
McLaren is showcasing its AI-enhanced engineering work on the NVIDIA booth at NVIDIA GTC 2026, the premier global AI conference taking place from 16 to 19 March in San Jose, California.