Robot Data Startup XDOF Nears $1.2B Valuation
Just three months after emerging from stealth, XDOF—a startup that collects real-world teleoperation data for training general-purpose robots—is already in late-stage talks to raise a Series B at a valuation of about $1.2 billion, according to sources familiar with the deal. The company's rapid growth, with annualized revenue approaching $50 million, has prompted investors to approach it despite its recent $70 million Series A. This is a clear signal that the race to build the data infrastructure for physical AI is accelerating.
From Research to Unicorn Status
XDOF was co-founded in 2024 by UC Berkeley researchers Philipp Wu (CEO) and Fred Shentu (CTO). Their research project, GELLO, a low-cost teleoperation system, allowed human operators to control robotic arms remotely to generate training data. This research laid the foundation for XDOF, which investors now describe as the 'Scale AI or Mercor for physical robotics.' The startup's mission is to build the data pipelines, collection tools, and annotation systems that frontier AI labs and robotics companies can't easily build themselves. Essentially, XDOF is becoming the outsourced data-supply chain for the robotics industry.
The Data Bottleneck in Physical AI
Unlike large language models, which initially trained on the vast expanse of the internet, physical robots lack an equivalent real-world dataset. This makes data collection a critical bottleneck for building general-purpose machines. XDOF is addressing this by partnering with UC Berkeley's AI Research lab to release what it believes is the largest collection of high-quality robot training data ever assembled, dubbed 'ABC.' To capture this data, the startup combines remote robot teleoperation with human collectors who wear sensors to record everyday tasks like folding clothes and flattening boxes. The company plans to hire and train teams of data collectors worldwide, including teleoperators and egocentric operators.
What's Next for XDOF
The terms of the Series B deal are not final and could still change, but the fact that XDOF is raising so soon after its Series A indicates strong investor confidence. The company already works with 20 customers, including several frontier AI labs. As XDOF scales its data collection efforts globally, it is positioning itself as a key player in the physical AI revolution. Other startups, such as Mecka AI and human-data platforms like Scale AI and Micro1, are also vying for a piece of this emerging market, but XDOF's rapid growth suggests it has a significant first-mover advantage.
Key Takeaways
- XDOF is in talks for a Series B at a $1.2B valuation just three months after exiting stealth.
- The startup's annualized revenue is approaching $50 million, driven by demand for robot training data.
- XDOF aims to solve the data bottleneck for physical AI by building large-scale teleoperation and data collection pipelines.
- The company is releasing ABC, claimed to be the largest collection of high-quality robot training data, in partnership with UC Berkeley.
- Investors see XDOF as the 'Scale AI for physical robotics,' highlighting the growing importance of real-world data.
Source: TechCrunch • 🇺🇸 San Francisco
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