Applied Intuition builds the 'brains' for machines and the tools to create those brains, targeting a future with a billion intelligent machines across automotive, defense, mining, and agriculture. Co-founders discuss the massive market opportunity in physical AI, their new agentic platform Dana that drastically lowers the barrier to entry, and how the company raised nearly a billion dollars while remaining capital-efficient and product-focused.
Summarized by Podsumo
Applied Intuition is a horizontal technology provider for physical AI, selling intelligence (like NVIDIA sells chips) to manufacturers across automotive, defense, mining, agriculture, and robotics – without building any single machine themselves.
The company launched Dana, a new agentic platform that makes developing and deploying physical AI as easy as coding a web app, by orchestrating complex workflows (simulation, model training, deployment) through a natural-language interface.
Co-founders emphasize that physical AI is fundamentally different from digital AI due to safety criticality, real-time constraints, and the need to operate within cost and compute envelopes – making it a much larger market than digital AI.
Applied Intuition raised ~$1B but hasn't spent it, growing revenue faster than they could deploy capital, and they see their unique data collection across diverse verticals as a deep competitive moat that enables superior reinforcement learning and imitation learning.
The company's customer base includes 18 of the top 20 automated manufacturers worldwide, with revenue roughly evenly split across automotive, trucking, defense, construction, mining, and agriculture – not just automotive as commonly assumed.
"If we make the best products in the business, a lot of things take care of themselves. Because unlike other businesses, the product really matters here. In a lot of businesses, the products can be okay, but not in safety critical systems."