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. We're using AI agents to
01:05orchestrate the pre-processing and post-processing of that simulation. We have
01:09built agents that check process quality to make sure that only good information is
01:12passed downstream and we're building agents that believe engineers of
01:16repetitive work so that they can focus on innovation and product creation.
01:21The manufacturing process for carbon consciousness is very complicated. We're
01:25using 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
01:36that simulation capability into the hands of the manufacturing practitioners so
01:42that they can parametrically optimize their manufacturing process and see the
01:47outcome in real time. It's very exciting for our teams. They are participating in a
01:52revolution in the way they work.
01:54Our past work becomes searchable, reusable, and instantly available to our
01:59engineers 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
02:08productivity. Essentially we want to enable our people to focus on the work that
02:13truly defines McLaren. My vision is that we'll be building products, leveraging
02:17code and algorithms as a base of that. We want to build better product, we want to
02:22build more product with the same resources and I'm sure leveraging our
02:26partnership with Rescale and NVIDIA will get there.
02:30For 60 years now McLaren has been pushing the boundaries of engineering. Using
02:35modern tools like AI physics or agentic engineering allows us to push those
02:39boundaries even further exploring more of the design space and making sure we're
02:44creating exhilarating products for our customers.
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