Less than three months after exiting stealth, robotics data startup XDOF is reportedly in late-stage talks for a Series B funding round.

XDOF, a startup specializing in collecting real-world teleoperation data for training general-purpose robots, is in late-stage talks to raise a Series B round at a valuation of approximately $1.2 billion. The deal is reportedly being led by 8VC. The company, which emerged from stealth less than three months ago, was not initially planning to raise additional capital so soon after its $70 million Series A round in June.

Rapid Growth and Business Model

The company’s decision to pursue new funding follows rapid growth, with annualized revenue now approaching $50 million. XDOF functions as an outsourced data-supply chain for the robotics industry, providing data pipelines, collection tools, and annotation systems for AI labs and robotics companies. The startup currently works with 20 customers, including several frontier AI labs.

Origins and Data Collection

Founded in 2024 by UC Berkeley researchers Philipp Wu and Fred Shentu, XDOF grew out of their work on GELLO, a low-cost teleoperation system for remote robotic control. To address the lack of large-scale datasets for physical robotics, the company is collaborating with UC Berkeley’s AI Research lab to release a collection of training data called ABC. XDOF captures this data by employing human collectors who use sensors to record everyday tasks and teleoperators who control robots remotely.