[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fJK-bUdiYXUrVBJBoCyWPAhiXOu6u50UOHGYhl-UdIcM":3},{"article":4,"related":19},{"id":5,"slug":6,"title":7,"seo_title":7,"description":8,"keywords":9,"content":10,"category":11,"image_url":12,"source_guid":13,"published_at":14,"created_at":15,"updated_at":16,"source_url":17,"source_name":18},1333,"xdof-in-talks-for-12b-series-b-just-months-after-debut","XDOF in Talks for $1.2B Series B Just Months After Debut","Robot data-collection startup XDOF, three months out of stealth, is negotiating a Series B near $1.2B led by 8VC as revenue nears $50M annualized.","[\"XDOF\",\"robotics data\",\"teleoperation\",\"8VC\",\"Series B\",\"physical AI\",\"Scale AI for robotics\"]","\u003Cp>XDOF, a startup that collects real-world data for training robots, is in late-stage talks to raise a Series B at roughly a $1.2 billion valuation led by 8VC, according to people with knowledge of the deal, \u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2026\u002F09\u002F04\u002Fxdof-just-three-months-out-of-stealth-is-in-talks-for-a-series-b-at-a-1-2b-valuation\u002F\" rel=\"noopener noreferrer\">first reported by TechCrunch\u003C\u002Fa>. The company only left stealth about three months ago. TechCrunch was unable to confirm the total amount being raised or whether the valuation figure includes the new money, and the terms aren't final. XDOF and 8VC did not respond to TechCrunch's request for comment.\u003C\u002Fp>\n\n\u003Cp>XDOF was co-founded in 2024 by UC Berkeley researchers Philipp Wu, now CEO, and Fred Shentu, now CTO. TechCrunch had already covered the company once this year, reporting its $70 million Series A in June with Thrive Capital, Andreessen Horowitz, Lux, and Spark Capital participating. According to TechCrunch, XDOF wasn't planning to raise again this soon, but investors approached the company after its annualized revenue climbed toward $50 million. The startup says it already works with 20 customers, including several frontier AI labs.\u003C\u002Fp>\n\n\u003Cp>The company's pitch is that physical robots face the same data bottleneck LLMs solved years ago by training on the internet: there's no equivalent trove of real-world physical interaction data to draw from. XDOF builds the pipelines to generate that data itself, using remote teleoperation and human collectors wearing body sensors to record ordinary tasks like folding laundry or flattening boxes. The approach traces back to GELLO, a low-cost teleoperation system Wu and Shentu built as a research project that led to an influential robotics paper before becoming the basis for the company. XDOF is also partnering with UC Berkeley's AI Research lab on a dataset called ABC, which it says will be among the largest collections of high-quality robot training data assembled. Related: \u003Ca href=\"\u002Fnews\u002Fanthropic-researcher-shares-insights-on-self-improving-ai\" rel=\"noopener noreferrer\">physical AI\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Ch2>Why the round matters more than the number\u003C\u002Fh2>\n\n\u003Cp>The valuation is striking mostly for the timeline compressed underneath it. A $70 million Series A in June to a reported $1.2 billion Series B conversation by September is a pace usually reserved for companies riding a wave everyone can already see, not one three months removed from stealth. That speed says less about XDOF's product maturity and more about how badly investors want exposure to the \"data supply chain for robotics\" thesis right now, before anyone else locks up the position.\u003C\u002Fp>\n\n\u003Cp>The comparison investors are reaching for, Scale AI or Mercor but for physical robotics, is doing a lot of work here. Those companies became indispensable by sitting between raw human labor and the labs that needed labeled data at scale, and they got there because LLM training data was, in principle, already sitting on the internet waiting to be scraped and annotated. Robots don't have that luxury: the data has to be generated physically, task by task, by people wearing sensors or steering robotic arms by hand. That makes XDOF's moat less about algorithms and more about logistics, recruiting and training a global workforce of teleoperators and egocentric data collectors is closer to running a staffing operation than a software company. Whether that scales as cleanly as web-based labeling did is the open question. Related: \u003Ca href=\"\u002Fnews\u002Frobotics-ai-revolution\" rel=\"noopener noreferrer\">robotics data\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Cp>It's also worth noting XDOF isn't alone in spotting this gap. TechCrunch's report names Mecka AI as a direct competitor, alongside Scale AI and Micro1 extending their existing human-data platforms from language into physical tasks. If multiple well-capitalized players converge on the same bottleneck at once, the fight won't just be over who has the best data pipeline, it will be over who can lock in the frontier labs as customers first and who can recruit and retain the human collectors those pipelines depend on. XDOF's academic pedigree and its Berkeley partnership on the ABC dataset give it an early credibility edge, but credibility and a research paper don't guarantee a durable position once rivals with deeper labeling infrastructure start competing for the same customer list. Related: \u003Ca href=\"\u002Fnews\u002Fnvidia-expands-ai-advantage-beyond-gpus\" rel=\"noopener noreferrer\">physical AI\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Cp>For frontier AI labs and robotics companies, the more immediate implication is what this kind of valuation signals about pricing in the sector. If investors are willing to value a three-month-old public company at $1.2 billion on the strength of $50 million in annualized revenue and 20 customers, that's a marker other data-supply startups will point to in their own pitches, and a sign that the capital chasing \"physical AI\" infrastructure is moving at least as fast as the capital that chased LLM infrastructure a few years ago. \u003Ca href=\"\u002Fnews\u002Fgoogle-deepmind-unveils-gemini-robotics-2-a-new-era-for-robotics\" rel=\"noopener noreferrer\">robotics data\u003C\u002Fa> offers additional context on this topic.\u003C\u002Fp>","Startups & VC","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1788653571287-ynycufss3r.png","905cf58e2a4e39bc4602ce366512672b6c4901799db6e889d6d9b57ee6ff0057","2026-09-04T23:36:14.000Z","2026-09-06T00:12:51.845Z","2026-09-13 22:15:13","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F09\u002F04\u002Fxdof-just-three-months-out-of-stealth-is-in-talks-for-a-series-b-at-a-1-2b-valuation\u002F","techcrunch.com",[20,27,34,41],{"id":21,"slug":22,"title":23,"description":24,"category":11,"image_url":25,"published_at":26},1328,"air-raises-50m-for-ai-agent-security-platform","AIR Raises $50M for AI Agent Security Platform","AIR, an AI security startup, has raised $50M to help companies vet the skills and add-ons AI agents use, amid growing concerns over AI security risks, as fir...","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1788278843854-acsbsate1gi.png","2026-09-01T15:45:51.000Z",{"id":28,"slug":29,"title":30,"description":31,"category":11,"image_url":32,"published_at":33},1311,"stripes-openrouter-acquisition-unlocking-ai-powered-payments","Stripe's OpenRouter Acquisition: Unlocking AI-Powered Payments","Stripe's reported acquisition of OpenRouter for $7B+ marks a significant shift in the payments landscape, leveraging AI to streamline transactions. What does...","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1786924942625-4l9ggve4rw3.png","2026-08-16T20:57:04.000Z",{"id":35,"slug":36,"title":37,"description":38,"category":11,"image_url":39,"published_at":40},1301,"river-ais-11b-raise-redefines-ai-startup-landscape","River AI's $1.1B Raise Redefines AI Startup Landscape","River AI's $11B funding round led by General Catalyst marks a turning point for AI startups. Learn what this mega-round signals for personal agents and the industry.","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1786493077213-s2v97zsfprf.png","2026-08-11T17:41:22.000Z",{"id":42,"slug":43,"title":44,"description":45,"category":11,"image_url":46,"published_at":47},1289,"google-brain-drain-what-deans-departure-means-for-ai","Google Brain Drain: What Dean's Departure Means for AI","Top AI researchers leave Google to launch a startup focused on using AI for scientific discovery, marking a significant shift in the industry. What does this...","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1785974485529-xx78izypl5b.png","2026-08-05T19:30:19.000Z"]