Tutor Intelligence raises $75M Series B to scale frontier robotics model training, manufacturing and deployment

Robotics research and deployment company Tutor Intelligence announced a $75 million Series B round led by Andreessen Horowitz.

The company said that its total capital raised has grown to $117 million, including a $34M Series A round in December 2025.

Tutor funding will scale model training, robot manufacturing and deployment

Tutor said that the funding round will support the company’s frontier robot foundation model training, as well as the manufacturing and deployment of Sonny and Cassie, Tutor’s robot workers, which run the company’s models and work jobs across the United States.

Union Square Ventures and Neo, which led the company’s Series A and seed rounds, respectively, also participated.

“Tutor’s insight is that deployment isn’t just the destination for robotics research - it’s how you overcome its limitations,” said Raghu Raghuram, general partner at Andreessen Horowitz and former CEO of VMware. “Rather than asking the real world to fit the research, Tutor starts with what real-world deployments demand and works backward through distribution, hardware and research. Continual learning across an expanding range of deployments is the path from specialized capabilities to general-purpose robotics.”

Tutor said that it was founded to close the gap between what robots can do and what people can do. The company said that it deploys fleets of internet-connected robots into production environments, where they do real work for real customers, with input from remote operators known as “tutors.”

The company said that every task the robots complete generates the real-world experience data that has been missing from the training equation. Tutor added that the data trains better frontier models, making the robots capable of more work and wider deployment.

Tutor eyes expanded deployments

By offering a full-stack platform spanning robots, models and deployments, Tutor said that it is building a network of intelligence in which each new deployment strengthens the entire fleet, making robots smarter, cheaper and easier to deploy over time. The company said that this flywheel accelerates both deployment and training, building toward a generally capable robot workforce and a safer, more affordable and more abundant world for the American consumer.

“It’s not only that Tutor’s models let robots do jobs that robots have never been able to do before,” said Josh Gruenstein, co-founder and CEO of Tutor Intelligence. “This type of intelligence also makes robots affordable on a whole new level. We’re unlocking much broader access to the solutions that businesses need to survive and that make basic goods cheaper for everybody. And the demand is there. We can hardly build robots fast enough.”

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.

— Josh Gruenstein (@joshgruenstein) November 2, 2026

Tutor said that it sells robot work the way businesses already buy labor: by the hour or by the pick. The company said that its customers make no upfront purchase and sign no long-term contract, and Tutor handles deployment and maintenance and sends the robots upgraded software and intelligence on a regular basis. This business and service model is part of how Tutor said it is bringing automation into work that has long defied conventional robotics.

Today, Tutor said that its robots are working in almost four times as many facilities as a year ago, and the team is on track to have more than 1,000 robots under contract by the end of 2027, all of which will be built in and deployed from the United States. The company said that its robots are currently in operation across some of the country’s largest manufacturing and logistics networks, handling the goods that fill the average American home: popular breakfast cereals, snacks, candy, cosmetics, home goods, toys and more.