XDOF Emerges from Stealth Mode: In Talks for Series B Funding at $1.2B Valuation
XDOF, a startup specializing in collecting real-world teleoperation data to train general-purpose robots, is in talks to raise a Series B round at a valuation of approximately $1.2 billion. The company has gained remarkable traction in a mere three months since emerging from stealth mode, supported by a previous Series A funding of $70 million.
Co-founded in 2024 by UC Berkeley researchers Philipp Wu (CEO) and Fred Shentu (CTO), XDOF is backed by prominent investors including 8VC, Thrive Capital, and Andreessen Horowitz. The rapid growth of XDOF, with projected annual revenues nearing $50 million, has led venture capitalists to initiate discussions for additional funding much sooner than anticipated.
XDOF’s mission is to develop the data pipelines and tools necessary for robotics companies and AI labs, essentially serving as an outsourced data supply chain for the industry. Wu’s initial research challenges regarding data availability for robot training inspired the creation of XDOF. He collaborated with Shentu on a project called GELLO, which uses remote control to move robotic arms for generating training data.
The startup plans to launch a significant dataset known as ABC, believed to be the largest collection of high-quality robot training data. Through teleoperation and human sensor-operated collectors performing daily tasks, XDOF aims to overcome the data scarcity previously hampering advancements in robotics.
The company is set to expand its workforce across the globe, focusing on hiring and training data collectors, including teleoperators and egocentric operators. Currently, XDOF boasts a client base of 20 companies, including leading AI laboratories, and remains competitive against other data collection startups such as Mecka AI and Scale AI.
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