Feather Robotics builds modular humanoid robot platform for developers
US startup Feather Robotics offers a modular humanoid robot that lets developers customize hardware and software for real-world tasks today, having already surpassed $1 million in revenue.
Robotics founders and investors broadly agree that the so-called "ChatGPT moment" — when a general-purpose robot can seamlessly adapt to any environment — has not yet arrived. Feather Robotics, a humanoid startup founded last year, is taking a different approach than rivals like Tesla or Figure.
Rather than trying to build both a robot body and a foundational "brain" simultaneously, Feather provides developers with a ready hardware and software toolkit they can use right away. Co-founder Hoa Mai says the approach mirrors how companies like Nvidia or Apple succeeded — starting with a working, deployable product and adding complexity over time.
Modular system and early customers
In 2025, Mai teamed up with former Tesla engineer Parsa Bakhtiari to build what the pair calls the "Android of robotics." The idea attracted Gradient Ventures, which led the startup's $7.6 million pre-seed funding round.
Feather has rolled out a modular robotic system that can be customized for different use cases, such as adjusting arm length. The company is already selling to customers and has surpassed $1 million in revenue, with its robots working as cooks in restaurants and cleaning science labs. On the software side, the hardware can run models from leading robotics AI providers, including Nvidia, Skild, and Physical Intelligence.
A pricing advantage
According to Gradient Ventures general partner Darian Shirazi, Feather has no direct competitors in the U.S., positioning itself as the only American startup developing a modular humanoid platform. The robot's $30,000 price tag is roughly half that of Chinese manufacturer Unitree's H2 Edu, and with restrictions on foreign-made robots entering the U.S. market, Feather finds itself well positioned as a homegrown alternative.
Feather is betting that the real value in robotics will come from an ecosystem built around its hardware — the company expects thousands of physical AI application developers to emerge over the next five years.
