Sebastian Thrun Unveils Dulo, A Stealth Robotics Startup Targeting Hardware Design

Sebastian Thrun Announces Dulo at Actuate Robotics Conference

Sebastian Thrun revealed his new venture, Dulo, during the closing moments of his keynote at the Actuate robotics conference in San Francisco on August 18, 20261

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. The announcement was deliberately brief. "I am not speaking about the company yet," Thrun told an audience of robotics founders and engineers. "It's under stealth, it's very small. But it's in robotics."2

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The stealth robotics startup remains largely under wraps, with no funding figures, product details, or launch dates disclosed1

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Foundation Models for Hardware Design at Manufacturing Speed

A Stanford-hosted webpage offers the only public glimpse into Dulo's mission. The company is developing foundation models for hardware design aimed at enabling "manufacturing at lightspeed"1

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. This approach targets a specific gap in AI-driven hardware design. While foundation models have reshaped text, images, and code, the physical design of hardware still moves slowly1

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. Dulo appears to be directing those same techniques at how machines and their parts get designed and built, positioning itself at a different layer from most robotics startups that focus on building robots themselves1

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Elite Team from Waymo, Google Brain, and Stanford's AI Lab

The team composition signals Dulo's ambitions. The robotics startup includes leaders from Waymo, Google Brain, and Stanford's Artificial Intelligence Laboratory (SAIL), which Thrun previously directed1

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. These three organizations represent some of the most influential institutions in modern AI and autonomous vehicles. Thrun's history with each gives Dulo instant credibility in a market where pedigree matters for attracting both talent and capital1

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Record $16.3bn Investment Wave Powers Robotics Boom

Dulo enters a market experiencing unprecedented growth. Physical AI companies raised a record $16.3bn across 492 deals in the first quarter of 2026, according to PitchBook data1

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. This robotics boom is fueled by falling hardware costs, labor shortages, and pressure to bring manufacturing back home1

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. Recent examples include Swiss firm Gravis securing a $200mn round led by SoftBank for autonomous construction machines, and onsemi's $7bn deal for Synaptics centered on physical AI1

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. Reshoring trends are particularly strong, as China now builds almost every humanoid robot shipped worldwide, creating pressure for US manufacturers to automate domestically1

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From DARPA Winner to Waymo Founder: Thrun's Track Record

Sebastian Thrun's reputation stems from a 2005 breakthrough. His Stanford team won a landmark autonomous-vehicle race, completing a 132-mile desert course with no human behind the wheel1

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. That victory caught Google co-founder Larry Page's attention, leading to Thrun's recruitment to lead the company's self-driving-car project that became Waymo1

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. Thrun also co-founded Google Brain, Google X, and Udacity1

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. In 2013, he left his tenured Stanford professor position to focus on Udacity after a free AI course attracted 160,000 students worldwide3

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. He also led Kittyhawk, a flying-car startup that eventually shut down1

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. In a 2025 post, Thrun mentioned hiring engineers for "an exciting agentic AI startup" in San Francisco3

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, likely referring to Dulo.

Targeting Manufacturers Rather Than End Users

Dulo's stated focus on foundation models for hardware design suggests it will sell to those who build machines rather than building the machines directly1

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. This positions the company at an earlier stage in the manufacturing chain, addressing rapid manufacturing and physical design challenges. If AI-driven hardware design can accelerate the creation of robotics components, it could reshape how quickly new machines reach production. The approach matters because hardware development remains a bottleneck even as software AI advances rapidly. Watch for Dulo to target partnerships with established manufacturers seeking to compress design cycles and respond faster to labor shortages driving automation demand.