Key facts
- XDOF is in late-stage talks for a Series B funding round.
- The startup is seeking a valuation of approximately $1.2 billion.
- XDOF emerged from stealth less than three months ago.
- The company's annualized revenue is approaching $50 million.
- XDOF was co-founded by UC Berkeley researchers Philipp Wu and Fred Shentu.
XDOF, a startup specializing in collecting real-world teleoperation data for training general-purpose robots, is reportedly in late-stage discussions to secure Series B funding at a valuation of approximately $1.2 billion. This comes less than three months after the company emerged from stealth and raised $70 million in a Series A round in June.
The company's rapid growth, with annualized revenue approaching $50 million, has reportedly prompted venture capital firms, including 8VC as a potential lead investor, to approach XDOF about a new funding round. XDOF was co-founded in 2024 by UC Berkeley researchers Philipp Wu (CEO) and Fred Shentu (CTO), who aimed to address the critical bottleneck of data collection for physical robots, an issue Wu encountered during his PhD research.
XDOF's business model focuses on building data pipelines, collection tools, and annotation systems that serve as an outsourced data-supply chain for the robotics industry. This is analogous to data-labeling giants like Scale AI that fueled the AI boom. The startup is also collaborating with UC Berkeley's AI Research lab to release a large collection of robot training data called ABC.
While the total capital being raised and whether the valuation includes the new funding remain undisclosed, the terms are not final. XDOF is planning to hire and train data collectors globally, including remote teleoperators and egocentric operators who wear sensors to capture movement data. The company has stated it is already working with 20 customers, including several frontier AI labs.