Tutor Intelligence has raised $75 million in a Series B round to train robot foundation models and to manufacture and deploy more of its warehouse robots. Andreessen Horowitz led the round, which takes the Watertown, Massachusetts company to $117 million in total capital raised.
Union Square Ventures and Neo also joined the round. Union Square Ventures led the Series A round, while Neo led the earlier seed round.
The funding round
The company announced the round on November 2, 2026. The new capital will support frontier robot foundation model training and the manufacturing and deployment of Sonny and Cassie, its two robot workers.
Tutor builds its robots, models and deployments as one full stack platform. Every job a robot completes in a real workplace generates experience data, and that data trains better models for the next deployment.
Josh Gruenstein, co-founder and chief executive of Tutor Intelligence, said the funding reflects demand from customers. He pointed to affordability as well as capability as the reason more businesses can now use robots.
This type of intelligence also makes robots affordable on a whole new level. We are 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.
Two robots for warehouse work
Cassie is a mobile robot with a single arm that moves packages on and off pallets and into containers. It can process up to 18 items per minute, depending on the package type, and its vacuum gripper can pick up more than 50 pounds.
Sonny is a second wheeled robot with two arms for more dexterous picking work, including ecommerce fulfilment. It finds items with time of flight and stereo cameras, which collect depth data to judge distance.
Both robots run Tutor models and work in manufacturing and logistics facilities across the United States. The company says its robots now work in almost four times as many facilities as a year ago.
Robots rented by the hour
Tutor sells robot work the way businesses buy labour, by the hour or by the pick. Customers make no upfront purchase and sign no long term contract, while Tutor handles deployment and maintenance.
Remote human operators, known as tutors, step in when a robot needs help with a task. Their work also creates training data, so the models learn from real jobs rather than only from laboratory tests.
Nearly a third of the organisations that received Tutor robots in the past 12 months were existing customers adding more robots. The company is on track to have more than 1,000 robots under contract by the end of 2027.
What the money funds
The Series B will fund further training of Tutor robot foundation models and faster manufacturing and deployment of Sonny and Cassie. All of the robots are built in and deployed from the United States.
Raghu Raghuram, general partner at Andreessen Horowitz and former chief executive of VMware, said Tutor works from real deployment needs backwards. He said the company starts with what real world deployments demand and works backward through distribution, hardware and research.
Tutor was founded in February 2021 by Gruenstein and Alon Kosowsky-Sachs, who met as undergraduates at MIT. The company grew out of the MIT Computer Science and Artificial Intelligence Laboratory.
