Tutor Intelligence 完成 7500 万美元 B 轮融资，用人机协作模式部署工厂机器人
一家叫 Tutor 的公司拿了 a16z 领投的 7500 万美元，机器人按小时租，16 美元一小时干工厂活，卡住了就有人远程教，越用越聪明。
Tutor Intelligence 宣布完成 7500 万美元 B 轮融资，由 a16z 领投，USV 和 Neo 参与。该公司在马萨诸塞州制造机器人，按小时计费（每台 16 美元/小时），无前期投入。机器人卡住时由人类“tutor”远程接管并示范任务，从而持续积累训练数据。公司部署站点数量是一年前的近 4 倍，目标在 2027 年底前有超过 1000 台机器人在合同中。
Tutor Intelligence co-founder and CEO Josh Gruenstein is putting AI robots to work in American factories and warehouses, taking on the back-breaking jobs they can't hire for. Tutor builds its robots in Massachusetts and charges by the hour, with no upfront cost. When the AI gets stuck, a human "tutor" takes over and teaches it the task, creating training data along the way. Josh joins a16z's Martin Casado and Raghu Raghuram to discuss how Tutor goes from a first sales call to a working robot in about three months, why so many robot startups died building for a single customer, why anyone will be able to start a business in the physical world, and a whole lot more. 0:50 Deploy robots, then build the data 2:50 Why smart robots aren't enough 4:38 The ultimate systems problem 6:45 Why robot companies go vertical 9:07 How remote humans tutor robots 11:00 Will robots outgrow their tutors? 14:54 How AI labs sped up robotics 16:57 Meet Cassie and Sonny 20:55 What factory work actually looks like 23:18 A robot for $16 an hour 25:51 When robots become coworkers 29:04 Why robot startups keep dying 31:21 When 1% cheaper flips a market 34:52 Robots cost more to run than to buy 38:18 China's automation bet may backfire 42:02 Real-world RL on a 100-robot fleet YouTube: youtu.be/lXkjXSul6yg @joshgruenstein @tutorintel @martin_casado @RaghuRaghuram Your browser does not support the video tag. 🔗 View on Twitter Josh Gruenstein @joshgruenstein We raised a $75M Series B to deploy intelligent robots now, led by @a16z , with participation from @usv and @neo . @tutorintel robots work real jobs across the United States, directed by human “tutors” and the foundation models we’ve trained on the work done. This round accelerates frontier model training, robot manufacturing, and deployment into industry. We’re in almost 4x as many sites as a year ago; nearly a third of this year’s deployments went to existing customers coming back for more; and we’re on track to have more than 1,000 robots under contract by the end of 2027. Our mission is to proliferate robotics for the common good. If you want to make robots reliably do things others think are impossible, for people who’ve never had access to this technology, join us. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 37 🔄 15 ❤️ 171 👀 81639 📊 54 ⚡
