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XDOF's rapid Series B push highlights a critical infrastructure gap in robotics: the urgent need for scalable, high-quality teleoperation data pipelines to train general-purpose agents. By positioning itself as a specialized data-supply chain, the startup addresses the fundamental bottleneck where physical robots lack the vast, structured datasets that fueled the LLM boom. This move underscores how data curation and collection mechanisms are becoming central bottlenecks rather than peripheral concerns in the robotics sector.

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XDOF, just 3 months out of stealth, is in talks for a Series B at a $1.2B valuation

TechCrunchSeptember 4, 20263 min read

The round is being raised just months after the robot data startup exited from stealth.

Less than three months after emerging from stealth, XDOF, a startup that collects real-world teleoperation data for training general-purpose robots, is in late-stage talks to raise a Series B at a valuation of about $1.2 billion valuation led by 8VC, several people with knowledge of the deal said. XDOF was co-founded by UC Berkeley…

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