Startups

Feather Robotics Sells $30,000 Humanoids as Developer Platform

Feather Robotics has passed $1 million in revenue selling $30,000 modular humanoids to developers, backed by Gradient Ventures' $7.6 million pre-seed.

By Daniel Okafor

3 min read

Updated

Meet Feather, the startup building the ‘Android of robotics’ for developers
Meet Feather, the startup building the ‘Android of robotics’ for developersAI-generated

What's News

  • Feather Robotics surpassed $1 million in revenue selling modular humanoid robots priced at $30,000 — roughly half the cost of Unitree's H2 Edu.
  • Gradient Ventures led Feather's $7.6 million pre-seed round; the startup has spent only a fraction of that funding, per General Partner Darian Shirazi.
  • Co-founders Hoa Mai (who sold a previous humanoid startup to 1X) and ex-Tesla Model 3 engineer Parsa Bakhtiari launched Feather in 2025; its robots already cook in Japanese restaurants and clean science labs.

Feather Robotics has surpassed $1 million in revenue selling $30,000 modular humanoid robots — and it has spent only a fraction of its $7.6 million pre-seed round to get there.

The startup, founded last year, is building what it calls the "Android of robotics": a hardware and software toolkit that developers can deploy on real-world tasks today. That positioning separates it from Tesla and Figure, which are attempting to build both the robot body and a foundational AI "brain" that is not yet widely deployed.

"You can't buy a Tesla robot today and develop on top of it," Feather co-founder Hoa Mai told TechCrunch. "We realized that this is not how most companies became successful. Hardware players like Nvidia or Apple started with a product that worked and was deployable, and then they added complexity over time."

Mai founded Feather in 2025 after selling his previous humanoid startup to 1X. He teamed up with Parsa Bakhtiari, a former Tesla Model 3 engineer who at one point reported directly to Elon Musk.

Gradient Ventures backed Feather at its inception, leading the previously announced $7.6 million pre-seed round.

Robots already on the job

Feather has rolled out a modular robotic system that lets developers customize hardware for different use cases, such as adjusting arm lengths. The company has begun selling to customers, though it declines to name them.

Its robots are already working as cooks in restaurants in Japan and cleaning up science labs, the company said. On the software side, the hardware can run models from any leading robotics AI provider, including Generalist, Skild, or Physical Intelligence.

"We've been selling small quantities of these robots, and now that we resolved like almost all the issues over the last year of field testing, we're getting ready for a big product launch," Mai said.

No direct U.S. competitors, Gradient says

Darian Shirazi, General Partner at Gradient, argues Feather has no direct competitors in the United States. He breaks the hardware robotics market into three categories: startups like Sunday building domestic household robots; heavyweights like Figure and Tesla chasing general-purpose machines; and Feather, which he believes is the only U.S. startup developing a modular humanoid platform.

Mai admits Feather took a page from Chinese robotics companies like Unitree. But new restrictions keep foreign-made models out of the U.S. market, leaving Feather uniquely positioned as a homegrown option of its kind.

Price is the other edge. At $30,000, the Feather robot costs roughly half the price of Unitree's H2 Edu.

Shirazi sees a large market at that price point. "You would hire a laborer for $50,000 to $60,000 a year, you'd have to train [them]. They'd have to have HR. They'd have to have all these different support mechanisms," he said. "You can now buy a Feather robot to do that."

The ecosystem bet

Feather's big wager is that the value in robotics will come from an ecosystem built around its hardware. The founders and their backers argue the industry's "ChatGPT moment" — a general-purpose robot seamlessly adapting to any environment — has not arrived, and opinions split on whether the breakthrough is around the corner or a decade away. Feather says its platform works for either timeline.

"If we think about the market size today for physical AI companies, it's very small," Mai said. "But if you think about how many physical AI application companies will probably exist in five years, we expect it to be in the thousands."

Feather hopes to be the platform that powers all of them.

Original: feather.dev

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Daniel Okafor

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Correspondent covering business strategy at Business Bearings.

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