Applied Intuition: The $15B Physical AI Company (You Should Know)

Qasar Younis (CEO) & Peter Ludwig (CTO) of Applied Intuition join Sourcery to break down how they’ve quietly built one of the most important AI companies in the world reaching a $15 billion valuation.

Founded in 2017, Applied Intuition is building the infrastructure layer for vehicle intelligence and physical AI, powering systems across automotive, defense, trucking, construction, mining, and agriculture. Today, 18 of the top 20 global automakers and major U.S. Department of Defense programs rely on their software.

The company has raised $1B+ in total funding, including a $600M Series F at a $15B valuation, co-led by BlackRock and Kleiner Perkins, with participation from global investors such as Franklin Templeton, Qatar Investment Authority, Abu Dhabi Investment Council, Premji Invest, Stripes, Greycroft, BAM Elevate, and 137 Ventures.

Existing investors include Fidelity Management & Research Company, General Catalyst, Lux Capital, BOND, Elad Gil, Addition, and Tribe Capital, alongside early backing from Marc Andreessen.

What makes the company especially unique: despite raising over $1B, Applied Intuition has largely not relied on that capital to fund operations, instead building a profitable, capital-efficient business with long-term customer contracts and deep integration across industries

In this conversation, we cover:

• Why physical AI is fundamentally different from software AI

• How breakthroughs like transformers unlocked real-world autonomy

• The company’s horizontal-first strategy across industries

• Why they stayed quiet for years—and why that changed

• How they deploy autonomy in defense and industrial environments

• What hiring looks like in the AI era

Applied Intuition isn’t building another AI app—it’s building the infrastructure for AI in the real world.

Qasar Younis: https://x.com/qasar

Peter Ludwig: https://www.linkedin.com/in/peterwludwig

Molly O’Shea: https://x.com/MollySOShea

Sourcery: ⁠https://x.com/sourceryy

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