Nori
New accelerator entry · 2026-07-03 · the record
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We manufacture Nori: A sub-$2000 bimanual mobile manipulator that can clean rooms, restock shelves, and fold clothes. Nori can handle basic tasks out of the box, and its software lets anyone teach Nori to automate work specific to their home or business.
Nori is a Y Combinator company in the Summer 2026 batch. Its directory entry describes it as: The most capable American-made humanoid robot for $1,688. The founder listed is Antonio Sitong Li (Founder/CTO) (Y Combinator directory entry, July 3, 2026).
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New accelerator entry · 2026-07-03 · the record
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We manufacture Nori: A sub-$2000 bimanual mobile manipulator that can clean rooms, restock shelves, and fold clothes. Nori can handle basic tasks out of the box, and its software lets anyone teach Nori to automate work specific to their home or business. Nori aims to solve the robotics data bottleneck. By deploying affordable robots to customers around the world, we can gather the diverse data required to train the next generation of generalist robotic policies. Every user of Nori makes Nori smarter. Since launching 6 weeks ago we have already deployed our first robot and have over $440k+ in sales. We can bring general-purpose robotics to homes and businesses that could never afford it before. There are 132.7 million households and 8.4 million employer business locations in the U.S. At $1,688 per robot, selling just one Nori to 0.5% of them represents a $1.2B market opportunity in the U.S. alone.
Read from the page's own HTML and response headers on 10 September 2026, at https://www.norirobotics.com/. Each badge matched a string the site serves about itself — hover one to see which. Nothing here is a traffic, ranking or revenue figure: those cannot be read off a page and are not claimed.
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NORI A3 — an affordable bimanual robot for home and office. Made in the US, shipping fall 2026. $1,688.
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Antonio is the founder of Nori Robotics. He studied Computer Science and Architecture at Columbia, where he held research fellowships with the Laidlaw Scholars Program, the Data Science Institute, and the Graphics & UI Lab. His research focused on teaching robots new tasks through VR demonstrations. He also holds a national patent for a computer-vision system, and previously co-founded Truely, which grew to 2,000+ users and 1.5M+ impressions.
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