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XDOF, just three months out of stealth, is in talks for a Series B at a $1.2Bvaluation
XDOF, a startup specializing in teleoperation data for training robots, seeks a Series B funding round at a $1.2B valuation, less than three months post-stealth. Co-founded by UC Berkeley researchers, it reported rapid growth with nearly $50M in annual revenue and partnerships for developing high-quality robot training data, amidst increased VC interest following a previous $70M Series A funding.
Key points
- XDOF is in late-stage talks for a Series B at a $1.2 billion valuation.
- The company co-founded by UC Berkeley researchers aims to improve robot training by providing teleoperation data.
- Rapid growth resulted in annualized revenue nearing $50 million, prompting new VC interest.
- XDOF is collaborating with UC Berkeley's AI Research lab to assemble a vast robot training dataset.
- The startup's previous Series A funding round raised $70 million in June from notable investors.
- XDOF plans to recruit worldwide teams for data collection, including remote robot operators.
Why it matters
- XDOF mirrors the rise of data-centric startups like Scale AI that support AI advancements.
- The trend of outsourcing data collection reflects a shift in tech industry practices to enhance efficiency.
- As robotics and AI integration grows, the demand for high-quality training datasets will intensify through 2025.
XDOF's rapid ascent showcases the critical role of data in robotics, highlighting a significant trend in AI development; the startup's ongoing funding efforts could further position it as a leader in this evolving field.