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Alex Kendall:

I founded Wayve because I believe that physical AI is one of the biggest opportunities of our generation, and the opportunity is to bring out intelligent machines that can help us delegate unsafe, messy, unstructured tasks that we don't want to do ourselves. I mean autonomous driving is the best example of this, and this is going to enable us to have a much safer experience on the road, a much more sustainable and accessible experience.

Matt Gehl:

I think what makes Wayve stand out today is that they are taking a technology-driven approach, which is right not just for today but can adapt for the future. Today's early-stage innovative companies are tomorrow's global technology champions. We want to be a part of their journey, not just so we're there in the future, but so we can help them get there.

Alex Kendall:

We've been the first to bring reinforcement learning onto cars, vision- language-action models, and now we have an AI that's able to drive cars all around the world, working with some of the biggest car companies and fleets to be able to see this deployed ahead of us. So I'm very excited to see this out in consumer vehicles where you can own a car and actually have our AI help you with the safety and the navigation or even the responsibility of driving, and of course bringing this into robotaxis and other forms of transportation in cities around the world.

END

Are self-driving vehicles the future of the automotive industry? For London-based AI company Wayve, the answer is clear. “I founded Wayve because I believe that physical AI is one of the biggest opportunities of our generation,” CEO Alex Kendall said. 

“I believe that physical AI is one of the biggest opportunities of our generation.”

Rather than developing and operating proprietary robotaxi fleets, however, Wayve licenses its AI foundation models to major automakers worldwide to embed into their own vehicles, from passenger cars to robotaxis. These models are built on embodied AI — the integration of AI into physical systems — and continuously refine driving behavior based on camera and sensor inputs. As a result, vehicles can interact with and learn from real-world environments, reacting to unexpected scenarios even without prior training exposure or pre-mapping. 

“What makes Wayve stand out is that they are taking a technology-driven approach that’s right not just for today, but that can also adapt for [tomorrow],” said Matt Gehl, co-head of International Technology Investment Banking at J.P. Morgan. “We want to be part of their journey — not just so we’re there in the future, but so we can help them get there.” 

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