Prometheus, the physical AI startup co-founded by Jeff Bezos and Vik Bajaj, has raised $12 bn in a Series B funding at a $41 bn valuation. The financing ranks among the largest single bets on physical AI and places the company among the most highly valued AI startups ever funded.
The new capital came from Bezos, JPMorgan Chase, Goldman Sachs, BlackRock, DST Global, Arch Venture Partners, and other investors. The round follows Prometheus’s earlier $6.2 bn raise after the company launched late last year.
Prometheus is building what it calls an artificial general engineer. The company wants software that automates the design and manufacturing of complex physical systems, including jet engines, medical devices, consumer electronics, and drug compounds.
The ambition is large and unusually direct. Prometheus wants AI to compress the long cycle between idea, prototype, manufacturing, and real-world deployment. In complex industrial markets, that cycle still takes years because physical systems involve safety rules, testing, supply chains, materials science, and production constraints.
“The cycle from dream, to manufacturing at rate, to having it out in the world can be very long,” Bezos told Axios. He said a request for the same jet engine with 10% more thrust might turn into a 10-year programme, not because engineers lack skill, but because the process is so complex.
Prometheus is focuses on AI tools for pre-production machinery and processes, including prototyping. The technology might later help design robots or factories, but that is not the starting point.
The company currently has about 150 employees across San Francisco, London, and Zurich. Bezos and Bajaj have kept most product details private, including how the system is trained and when the first product will launch.
They also declined to discuss reported plans to raise $100 bn for an affiliated holding company. That structure would reportedly acquire legacy industrial companies, use their data to train Prometheus systems, and then deliver AI tools back into those companies.
Training physical AI creates a different challenge from software or consumer AI. There is no public internet-scale dataset for manufacturing processes, industrial design decisions, machine behavior, materials performance, and plant-level execution.
Prometheus has acknowledged that it cannot simply ingest an internet of manufacturing data.
Bezos indicated that much of the new capital will fund large compute requirements. Physical AI models need to reason across engineering constraints, simulation environments, manufacturing steps, and physical-world outcomes, which makes infrastructure spending central to the company’s strategy.
The company’s pitch also places Bezos on one side of the AI labour debate. Prometheus would automate many aspects of engineering work, yet Bezos argues that productivity gains will produce what he calls labour scarcity, where demand for human workers exceeds supply.
That view differs from many AI leaders who predict broad job losses. Bezos argues that higher productivity will raise living standards and reduce pressure on households that now depend on two incomes or overtime work.
“Significant productivity in the economy is going to raise the standard of living,” Bezos told CNBC. “People who today have two-earner households, they’ll become one-earner households. Maybe some people who are working overtime will stop working overtime.”
Bajaj makes a similar argument around invention and engineering capacity. He said physical creation today moves far more slowly than human imagination, and easier industrial development would lead to more invention and more people involved.
“The pace of our physical creation right now is nowhere near the pace of human imagination,” Bajaj said. “If we can make it just a little bit easier, or hopefully a lot easier, to bring to life what people dream of there’s going to be a lot more invention and a lot more people involved in it.”
Prometheus has no corporate ties to Amazon or Blue Origin, according to Bezos. He said the company needs a dedicated team focused on one mission, although he described Blue Origin as a useful case study for a Prometheus customer.
Bezos brings direct experience with large-scale labour and automation. Amazon, where he remains executive chairman and largest individual shareholder, employs more than 1.5 mn people worldwide. Under CEO Andy Jassy, the company has cut tens of thousands of jobs while accelerating automation across operations and corporate functions.
The $41 bn valuation shows how aggressively investors now value physical AI. Venture firms have poured more capital into the sector as founders argue that physical-world constraints create stronger competitive barriers than pure software. Industrial data, manufacturing relationships, simulation depth, and deployment expertise are harder to copy than a thin application layer.
Prometheus is still operating with limited public disclosure. The company has not explained its first commercial product, training approach, or customer launch timing. That leaves investors underwriting a large thesis before market proof becomes visible.
According to Beinsure analysts, Prometheus represents a shift in AI funding from digital productivity toward industrial production. The opportunity sits in shortening the path from design to manufactured output, where delays cost corporations years and billions.
The risk is equally large: physical AI must meet engineering accuracy, safety, compliance, and manufacturing reality, not demo-stage expectations.
