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Tutor Intelligence raises Series B to scale model training, robot deployments

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Tutor Intelligence raises Series B to scale model training, robot deployments

Tutor trains its Sonny robot on real-world manipulation tasks. Credit: Eugene Demaitre

Real-world data, human “tutors,” and simulation are all part of the recipe for training AI models to enable next-generation robots to tackle a widening variety of tasks. Tutor Intelligence Inc. today said it has raised $75 million in Series B funding as it works toward general-purpose robotics.

“It’s not only that Tutor’s models let robots do jobs that robots have never been able to do before,” stated 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.”

Tutor Intelligence spun out of the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) in 2021. The Watertown, Mass.-based company asserted that it is building a full technology stack to “close the gap between what robots can do and what people can do.”

“Artificial intelligence has transformed the digital world, learning to converse and code from the internet’s vast record of text and images,” said Tutor Intelligence. “The physical world has no such record to train on, and AI has yet to transform it in the same way.”

” It uses the real-world data to train better frontier models, ultimately making the robots more capable.



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