Robotics startup Generalist’s valuation has reached $3 billion after it secured additional funding led by 8VC, according to two people with knowledge of the deal. The new funding totals nearly $200 million, according to a regulatory filing, extending the $400 million Series B round led by Radical Ventures and announced by the company in June at a valuation of $2 billion.
This brings the total funding for the Series B round to $600 million. Generalist and 8VC did not respond to TechCrunch’s request for comment, so the valuation and lead investor details are based on informed sources and the regulatory filing, rather than a direct company announcement.
A Startup Building a Model for Multiple Robots
Generalist was founded in 2024 by Pete Florence and Andy Zeng, both former researchers at Google DeepMind, along with Andrew Barry, a former engineer at Boston Dynamics. In its early stages, the company received backing from 8VC, Radical Ventures, Nvidia, Union Square Ventures, and Bezos Expeditions, as well as from artificial intelligence researcher Fei-Fei Li.
Until recently, the company operated with a limited public profile. Its core project is developing an artificial intelligence foundation model that can work with different types of robots, rather than designing a separate model for each machine or task.
Generalist says its Gen 1.5 model, which it recently launched, allows robots to learn new tasks from short video demonstrations lasting between 3 and 12 seconds. The company is also working with a limited number of customers, using their feedback to adapt the model to specific use cases, according to one source.
Why Does This Funding Matter?
The funding does not prove that Generalist has achieved a definitive commercial or technical breakthrough, but it reflects continued investor interest in what is known as physical artificial intelligence: models that interact with the physical world through robots, rather than with text and images alone. The valuation’s rise from $2 billion in June to $3 billion just a few months later illustrates the scale of the financial bet on the possibility of developing a single model that helps different robots perform general tasks.
Generalist is operating amid intense competition. Other companies include Physical Intelligence, whose valuation is reported to be $11 billion, and SoftBank-backed Skild AI, valued at $14 billion, along with Genesis AI, which, as of the previous month, was in discussions to raise funding at a valuation of $3 billion.
Limitations and Open Questions
Some investors use the term “ChatGPT moment” to describe the possibility that robots could eventually perform general tasks without explicit training for each task. But the comparison has clear limitations: robots cannot train on the internet’s entire body of data in the way large language models benefit from it, and collecting data on interactions with the physical world is more closely tied to hardware, environments, and use cases.
For this reason, some investors warn that reaching a truly general robotics model could take years. Practical questions about Gen 1.5’s ability to generalize, the number of robots it actually supports, and the breadth of its commercial applications remain open, amid the absence of detailed comment from Generalist about the funding, model, and customers.