Founded in 2017, Applied Intuition's initial business model was to build and sell development tools, including simulators and data management offerings, to the self-driving car industry.

Applied Intuition employs a workforce of approximately 1,000 engineers.

A key internal metric for Applied Intuition's engineering team is the cycle time required to ingest new data, train a new AI model, and deploy it into production.

Applied Intuition's vehicle dynamics simulation software was used by a customer to simulate a moon rover driving on the lunar surface.

In a rapid demonstration for the U.S. Army, Applied Intuition retrofitted its vehicle operating system onto military Infantry Squad Vehicles and a Humvee, achieving autonomous driving in a test enviro...

Applied Intuition's strategic shift to develop its own full-stack self-driving systems was driven by key technology breakthroughs, including the application of Transformer architectures to robotics an...

Peter Ludwig recommends the book 'Apple in China' as a relevant case study on the intersection of geopolitics, technology, and the large-scale investment in China's electronics ecosystem.

Peter Ludwig believes that for software engineers, proficiency in using AI development tools is becoming a more important skill than deep specialization in a single domain, as these tools can rapidly ...

The adoption and diffusion of physical AI technology is inherently slower and more complex than software-based AI due to variations in physical machines, geographies, regulations, and corporate cultur...

Applied Intuition is actively developing L4 autonomous trucking technology, with a significant portion of this work currently taking place in Japan.

Applied Intuition's business is structured into three main lines: engineering tools, a vehicle operating system, and autonomy applications.