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Tutor Intelligence Raises $75 Million From a16z to Scale a Robot Workforce That Learns on the Job

AI Agents · By: AIReport Admin · 1 day ago · 👁 21
Tutor Intelligence Raises $75 Million From a16z to Scale a Robot Workforce That Learns on the Job

Tutor Intelligence, an MIT CSAIL spinout, announced a $75 million Series B led by Andreessen Horowitz, bringing total funding to $117 million. The cash funds frontier robot foundation model training and the manufacturing of its Sonny and Cassie robot workers, which bill customers by the hour or by the task. The company says it targets more than 1,000 robots under contract by the end of 2027.

Robotics startup Tutor Intelligence has raised a $75 million Series B led by Andreessen Horowitz, the company announced Tuesday, in a bet that the fastest route to general-purpose robots runs through paying customers rather than research labs. The round brings the Watertown, Massachusetts company's total funding to $117 million.

Union Square Ventures, which led Tutor's seed round, and Neo, which led its Series A, both returned for the B. The new capital is earmarked for training Tutor's frontier robot foundation models and for manufacturing and deploying its two robot workers, Sonny and Cassie, which run the company's models at customer sites across the United States.

Tutor's pitch inverts the usual robotics playbook. Founded by Josh Gruenstein out of MIT's Computer Science and Artificial Intelligence Laboratory, the company sells robot labor the way businesses buy human labor: by the hour or by the piece, with no upfront equipment purchase. Its fleet works in warehouses and factories — Cassie handles pallets and cases, Sonny takes on factory work — while remote human operators, called "tutors," assist when the robots hit something they cannot handle.

Every task the fleet completes generates real-world experience data, which is exactly what physical AI lacks compared with the internet-scale text and images that trained today's language models. In Tutor's telling, deployment is not the end of research but the engine of it: each new site widens the data flywheel that makes the next generation of robots more capable, and the fleet collectively smarter as it grows.

"Tutor's insight is that deployment is not the end of robot research but the way past its limits," said Raghu Raghuram, a general partner at Andreessen Horowitz and former CEO of VMware, in the announcement. "Rather than asking the real world to fit the research, Tutor works backward from the demands of actual deployment."

Gruenstein said the models let robots do work they never could before, and that the economics follow: "Our robots can barely manufacture fast enough to keep up with demand." The company says its customers include multiple Fortune 50 companies and consumer brands, and that it aims to have more than 1,000 robots under contract by the end of 2027 — a company target, not an independently verified figure.

The round lands in a market where investors have been rewarding the same thesis from several directions: data generated in production, not collected in labs, is the scarce resource in robotics. Tutor's difference is that it sells the labor itself rather than the hardware, which means revenue scales with every robot it ships — and so does the training data that makes the next robot worth shipping.

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