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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.

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.

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: https://youtu.be/lXkjXSul6yg @joshgruenstein @tutorintel @martin_casado @RaghuRaghuram

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: https://youtu.be/lXkjXSul6yg @joshgruenstein @tutorintel @martin_casado @RaghuRaghuram

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: https://youtu.be/lXkjXSul6yg @joshgruenstein @tutorintel @martin_casado @RaghuRaghuram

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: https://youtu.be/lXkjXSul6yg @joshgruenstein @tutorintel @martin_casado @RaghuRaghuram

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: https://youtu.be/lXkjXSul6yg @joshgruenstein @tutorintel @martin_casado @RaghuRaghuram

LUMI IS THE FIRST AND ONLY HUMANOID ROBOT APPROVED BY THE U.S. GOVERNMENT 🇺🇸 https://lightberry.com/press/dow-approval

Humanoids Summit organizer Modar Alaoui has spilled the beans on Tesla's secret Optimus plans in an interview with The San Francisco Standard. What he says Tesla told him: Optimus reservations will be timed to launch with his summit (Dec 1-2), or in the days right after. Tesla is a key partner of the event this year and plans to demo the Optimus V3 and showcase its self-driving cars there. What Alaoui expects on top of that: consumer reservations open in early December (a first for the public), the first shipment being the V3 since the prior gen was mainly a prototype, and most robots going to companies with only a small number set aside for consumers, at an expected $20,000+.

Don't trust demos. Try it yourself. Introducing RoboAPI, powered by Poke-Aurora, our world-action model. Give compatible robots natural-language instructions through a simple API. No task-specific training. More information: https://pokebot.com/ai

The American Dynamism 50 is a16z's annual list of companies building for America's future. This year's edition covers the industrial base end to end, from the inputs that come out of the ground to factories that make things and systems that deter conflict. a16z's Erin Price-Wright and Connor Love join Elena Burger to break down this year's list and its theme, Production is Deterrence, built around a simple idea: "You don't have a defense industrial base without an industrial base." 0:50 From mines to factories and systems 3:05 How the internet and nuclear was built 5:05 Drones built DJI into a robotics giant 6:50 Defense dollars pay for new factories 8:30 SpaceX and Tesla lessons on scale 10:15 How Mariana runs a mine on software 12:20 "AI cannot turn a wrench yet" 14:10 Retooling in 20 mins, not 3 months 17:45 Startups build before Pentagon asks 20:35 Why hard tech can be more valuable 24:45 The race for the biggest American flag 28:25 How defense parts unlock US robotics 32:05 The rise of the "manufacturing middle" 37:25 Anduril and SpaceX founder mafias 41:05 Private capital: USA's edge over China 46:30 The buildout must hit Middle America YouTube: https://youtu.be/cRJ7CfaK1Vc @espricewright @ConnorLoveCA @VirtualElena

Every day trade workers risk their lives to keep the lights on. Not anymore. mundane gives tradespeople a second body that can take the shock or blast instead of them. Send the robot into the danger zone; the operator stays in full control from a safe distance. Our mission is to amplify the skilled labor force, not replace it.

Tesla’s Optimus training regime leak. Workers in its Palo Alto R&D facility have been holding “robot university” for many months already. Press got it wrong when they said it just started up. Workers are wearing 24 lb suits with up to 40 cameras and grids of 3D sensors. To capture very detailed video and 3D fields of whatever the worker does. There are multiple configurations. They are given different tasks to do. They don’t know where the tasks come from. Multiple squads are working on three shifts 24 hours a day. Similar efforts were seen at the Texas factory. The data collection effort is immense. A Tesla car only has nine cameras. This leads to a data flywheel that is orders of magnitude more data than the car captured. Separate teams are capturing home data, like making a sandwich, while other teams capture jobs on factory floor, like installing HVAC systems in cars. Elon isn’t playing around. I can’t tell you how I learned this.