Tutor Intelligence has raised a $75 million Series B led by Andreessen Horowitz, taking total capital raised to $117 million. The round will fund frontier robot foundation model training and the manufacturing and deployment of its Sonny and Cassie robot workers across the United States. Union Square Ventures and Neo, which led the Series A and seed rounds respectively, also participated. Tutor sells robot work by the hour or by the pick with no upfront purchase, and its robots now operate in almost four times as many facilities as a year ago, with more than 1,000 robots targeted under contract by the end of 2027.
According to Robotics & Automation News, Tutor Intelligence, the robotics research and deployment company, has announced a $75 million Series B round led by Andreessen Horowitz, bringing its total capital raised to $117 million.
The funding round is intended to support the company’s frontier robot foundation model training, as well as the manufacturing and deployment of Sonny and Cassie, Tutor’s robot workers. These machines run the company’s models and are currently working jobs across the United States.
Union Square Ventures and Neo, which respectively led the company’s Series A and seed rounds, also participated in the Series B. The announcement was dated November 3, 2026.
Closing the gap between robots and human capability
The company’s founding premise rests on a data problem. Artificial intelligence has transformed the digital world by learning to converse and code from the internet’s vast record of text and images, but the physical world has no such record to train on, and AI has yet to transform it in the same way.
Tutor was founded to close the gap between what robots can do and what people can do. It deploys fleets of internet-connected robots into production environments, where they perform real work for real customers, with input from remote operators known as “tutors.”
Every task the robots complete generates the real-world experience data that has been missing from the training equation. That data trains better frontier models, making the robots capable of more work and wider deployment.
Investor backs deployment-first research model
Raghu Raghuram, general partner at Andreessen Horowitz and former CEO of VMware, framed the company’s approach as a reversal of conventional robotics research.
“Tutor’s insight is that deployment isn’t just the destination for robotics research – it’s how you overcome its limitations. 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.”
By offering a full-stack platform spanning robots, models and deployments, Tutor 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 describes this as a flywheel that accelerates both deployment and training.
Hourly and per-pick pricing model
Tutor sells robot work the way businesses already buy labor: by the hour or by the pick. Customers make no upfront purchase and sign no long-term contract, while 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 is bringing automation into work that has long defied conventional robotics.
Josh Gruenstein, co-founder and CEO of Tutor Intelligence, said the models expand both capability and affordability.
“It’s not only that Tutor’s models let robots do jobs that robots have never been able to do before. 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.”
Deployment footprint nearly quadruples
Today, Tutor’s 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 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.
Tutor’s robots take on the lifting, moving and manipulation that keep factories and warehouses running. Customers are coming back for more: nearly a third of organizations who received Tutor robots in the past 12 months were existing Tutor customers installing more Tutor robots.
Tutor’s growth tracks a broader turn in enterprise adoption of AI, as companies stop funding pilots and start underwriting systems that deliver measurable output inside their existing operations. The company’s Series A, a $34 million round, was previously reported in December 2025.
Source: Robotics & Automation News
Compiled from international media by the SCI.AI editorial team.
