Tutor Intelligence has raised $75 million in a Series B led by Andreessen Horowitz, backing its push to train more capable robot AI, manufacture machines at scale and deploy them in working factories and warehouses.
The MIT-born company builds robots that handle physical jobs without requiring customers to redesign their operations. Its Cassie system moves cases and pallets, while Sonny is designed for more dexterous warehouse tasks, including picking individual products from shelves.
That strategy is already visible at Data Factory 1 in Massachusetts, where Tutor operates a 100-robot training facility for its Sonny platform. Remote human operators demonstrate tasks, step in when robots make mistakes and help produce the physical-world data that conventional AI training lacks.
Tutor is also building the hardware itself. Cassie is designed for industrial material handling, while Sonny aims at more varied manipulation jobs. Both are part of a business that charges customers for robot use rather than requiring large upfront equipment purchases.
The new capital follows Tutor's $34 million Series A announced in December 2025. What makes this round interesting isn't simply the size of the check: the company is trying to connect AI research, robot production and paid customer deployments in one continuous learning system.
The test now is whether every additional robot makes the next one cheaper to deploy and more useful on the job.
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