Sebastian Thrun's Dulo raises $130 million seed to build AI for hardware design

Dulo, a San Francisco start-up co-founded this year by Sebastian Thrun, the computer scientist who co-founded Google's X research lab, and entrepreneur Adrian Aoun, has raised $130 million in a seed round. The round was first reported on Thursday, 29 October 2026, and confirmed by Aoun, who said the company is building "foundation models for hardware design" with the aim of creating what he called an "Engineering Superintelligence". Investors include former Google chief executive Eric Schmidt and Kleiner Perkins chairman John Doerr.

Most of the money flowing into artificial intelligence has gone into models that write text, code or images. Dulo is betting on a different target: the design of physical things, from machine parts to electronics. A foundation model is a large AI system trained on a broad body of data that can then be adapted to many tasks. Dulo's idea is to train such models on engineering problems so that they can propose, test and refine designs much faster than human teams working alone. The company's description of an "Engineering Superintelligence" is its own ambition, not a demonstrated capability. Designing hardware is usually slower and costlier than writing software, because each idea has to be modelled, built and tested in the physical world, and a mistake found late can force an expensive redesign. Shortening that loop is the problem Dulo says it wants to solve.

The size of the round is notable. Seed funding is usually the first and smallest stage of investment in a start-up, often a few million dollars. A $130 million seed shows how much investors are willing to stake on founders with strong records in AI, even before a product is public. Thrun is known for his work on self-driving cars at Google, and the backing of figures such as Schmidt and Doerr adds weight.

For Indian engineers and founders, the story points to where global capital is heading next. India has a large pool of mechanical, electrical and chip-design engineers, and global firms already run design centres in the country. Tools that automate design could change what that work looks like: less routine drafting and more checking, testing and directing AI systems. Indian start-ups building AI for manufacturing and hardware may also find investors more open to the idea after rounds like this one.

Short-term: Dulo can hire researchers and engineers and buy the computing power needed to train large models. Other investors may look harder at AI for physical engineering.

Long-term: If AI models can reliably design and test hardware, product development cycles in industries from automobiles to electronics could shorten, and the skills engineers need could shift towards supervising and validating AI-generated designs.

Who is affected: Hardware and design engineers, manufacturers, AI researchers, venture investors, and engineering students weighing which skills will be in demand.

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