Tutor Intelligence, an MIT-born robotics company building AI-powered fleets of warehouse robot workers, announced it has raised a $34 million Series A round led by Union Square Ventures, bringing its total funding to $42 million. Additional investors include Fundomo and follow-on investor Neo, which led the company’s seed round.
With the new capital, Tutor Intelligence plans to accelerate the commercialization of its robots, expand its consumer packaged goods (CPG) fleet, and advance its central robot intelligence platform. This data engine powers multiple robot form factors and capabilities.
Union Square Ventures, known for early investments in Twitter, Coinbase, Etsy, and MongoDB, backed Tutor for its unusual execution speed and ability to ship commercially viable robotics systems into customer environments rapidly.
Founded out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Tutor Intelligence has developed a centralized intelligence system that trains and coordinates fleets of robots across North America’s CPG supply chain. Tutor robots currently work alongside human operators across Fortune 50 and Fortune 500 companies in food, personal care, toys, home goods, beauty, consumer technology, and more. The robots log tens of thousands of hours of real-world production data, which is continually reinvested into the platform to improve intelligence, speed, adaptability, and usability.
Tutor’s system uses advanced visual intelligence to identify and handle nearly any SKU in production environments. Unlike traditional robots that require rigid programming and tightly controlled conditions, Tutor’s robots tolerate the messy edge cases of real-world manufacturing and logistics. While many robotic systems rely on simulated or synthetic data, Tutor trains on rich visual-motor data collected directly from its robots operating in the field — a feedback loop the company says leads to rapidly improving capabilities.
Deployment is designed to mirror labor rather than traditional automation infrastructure: units ship within 30 days of signing, become fully operational within a day of arrival, and are offered via a Robot-as-a-Service (RaaS) subscription that can be funded from operating budgets. This structure gives co-packers, manufacturers, and 3PLs access to high-reliability automation without ownership, maintenance burdens, or long ROI timelines.
KEY QUOTES
“Tutor stands out for its extraordinary speed of execution and its ability to balance cutting-edge product and model development with a clear commercial focus that quickly gets this functionality into customers’ hands. They’re not building for an abstract future; they’re transforming how CPG companies operate today. The team is super fast and ambitious, and we’re thrilled to lead this financing.”
Rebecca Kaden, Managing Partner, Union Square Ventures
“When we started Tutor Intelligence nearly five years ago as grad students at MIT, we saw that the robotics intelligence bottleneck was the key barrier to robotic worker viability. We built a system that leverages on-the-job data to teach robots to navigate and understand the physical world with human-like intuition. This new capital enables us to expand our fleet, scale our robot training infrastructure, and empower our robots to tackle increasingly complex tasks, reshaping industrial work as we know it.”
Josh Gruenstein, Co-founder and CEO, Tutor Intelligence
