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Our mission is to put intelligence on a billion machines, and we think that can have a profound impact on society. Applied Intuition is a physical AI company. We put intelligence on machines, cars, trucks, tanks, drones. It's a physical moving thing. We make an intelligent Digital AI, of
course, is building software and optimizing ads and creating videos. That's all interesting and good, but really when
you talk about the global economy, that's physical AI. In this intelligence revolution, the companies that impact the physical world might actually be bigger than the companies that impact the digital world.
How many things are there where the idea of physical AI, physical intelligence are gonna matter?
There's no reason autonomy should be this obscure, difficult technology. Our vision for that is a high school kid that can make iPhone apps should be able to make autonomous systems. That platform for designing and developing is what we're launching. It's called Dana.
Everything that we've built and developed over the past nearly a decade, that's available in Dana.
Which will we get first? A perfectly single way to real world environment for training autonomous devices or Grand Theft Auto six? Much
of today's AI conversation is focused on large language models. But the next frontier may be physical AI, software that enables machines to perceive, reason, and operate in the real world. In this episode, Marc Andreessen and I sit down with Applied Intuition cofounders Kasser Yunus and Peter Ludwig to discuss the future of physical AI, along with the company's newest platform, Dana, which is designed to simplify how autonomous systems are built and deployed. They explain why physical AI presents a fundamentally different set of engineering challenges, where autonomous systems are already maki
Kasser, Peter, welcome to the AZNZ Podcast.
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