00:03We have an incredibly talented team crafting our cars and our ambition is to
00:07make them as efficient as possible leveraging best tools. Investment in
00:11technology is a core priority for us and this collaboration with Rescale and
00:15NVIDIA directly supports that ambition.
00:19Traditional engineering workflows are fragmented. There are a lot of handovers,
00:24there's a lot of inconsistency of data or change of formats. Building AI
00:29tools on the Rescale digital engineering platform based on the NVIDIA AI
00:35infrastructure allows us to accelerate our engineering and product development
00:38processes. The end goal here is to have this integrated data platform where we
00:43have the design data, the simulation data and the test data all on one platform
00:46which will allow us to close the loop where the testing informs the simulation
00:50and simulation informs the design.
00:54We're using Physics AI to accelerate simulation that previously took hours or
00:59days to run and cut that time down to minutes.
01:03We're using AI agents to orchestrate the pre-processing and post-processing of that
01:08simulation. We have built agents that check process quality to make sure that only good
01:12information is passed downstream and we're building agents that believe engineers of repetitive work
01:17so that they can focus on innovation and product creation. The manufacturing process for carbon
01:24composite is very complicated. We're using AI physics to accelerate that process and through the agentic
01:31orchestration of that simulation we'll be even able to go one step further giving that simulation
01:38capability into the hands of the manufacturing practitioners so that they can parametrically optimize
01:44their manufacturing process and see the outcome in real time. It's very exciting for our teams. They are
01:51participating in a revolution in the way they work. Our past work becomes searchable, reusable and
01:58instantly available to our engineers and by leveraging AI physics and cloud technologies we are trying our
02:04best to eliminate all unnecessary manual work so we can deliver step change gains in productivity.
02:10Essentially we want to enable our people to focus on the work that truly defines McLaren. My vision is that
02:15we'll be building products leveraging code and algorithms as a base of that. We want to build better
02:22product, we want to build more product with the same resources and I'm sure leveraging our partnership
02:27with Ristail and NVIDIA will get there. For 60 years now McLaren has been pushing the boundaries of
02:34engineering. Using modern tools like AI physics or agentic engineering allows us to push those boundaries even
02:40further exploring more of the design space and making sure we're creating accelerating products for our customers.
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