Led by Andreessen Horowitz, the Series B brings total funding to $117 million as the MIT-founded robotics company expands its fleet across American warehouses and factories.
Tutor Intelligence has raised $75 million in a Series B led by Andreessen Horowitz, bringing its total funding to $117 million.
Union Square Ventures and Neo also participated in the financing, announced November 2.
The Watertown, Massachusetts-based company is developing robots that handle physical work in warehouses and manufacturing facilities, including palletizing boxes, moving cases and picking individual products.
Unlike robotics startups waiting for fully autonomous systems before commercial deployment, Tutor has built its business around putting robots to work immediately and making them more capable through experience.
Robots That Learn From Real Jobs
Tutor operates two robotic systems: Cassie, a single-arm robot designed for case handling and palletizing, and Sonny, a dual-arm system capable of more dexterous picking tasks.
Both run on foundation models trained using data collected from actual customer operations.
When a robot encounters a task it cannot complete autonomously, a remote human operator, known as a tutor, takes control.
That intervention allows the robot to complete the job while generating training data for future model improvements.
The approach creates a feedback loop: more deployments generate more real-world data, which improves the models and makes subsequent deployments more effective.
The company also designs its hardware and manufactures its robots, giving it control over the systems used to collect data and perform work.
A Growing Commercial Fleet
Tutor says its robots are operating in 20 US states, including facilities belonging to major manufacturers and logistics companies.
According to company figures shared through Andreessen Horowitz, its machines have participated in the production and shipment of more than 250 million products.
The company's fleet has expanded approximately fourfold over the past year and is growing at around 20% month over month.
Tutor aims to have more than 1,000 robots under contract by the end of 2027.
Its commercial model also differs from traditional industrial robotics.
Instead of requiring customers to purchase expensive automation equipment upfront, Tutor offers robots through a usage-based service model, with pricing advertised from $14 per hour.
This allows manufacturers and warehouse operators to treat automation as an operating expense rather than a major capital investment.
From MIT Research to Industrial Deployment
Tutor was founded by Josh Gruenstein, CEO, and Alon Kosowsky-Sachs, who met while studying at MIT.
Their approach combines robotics research with a commercially focused deployment strategy.
For investors, the opportunity extends beyond replacing repetitive warehouse tasks.
The larger ambition is to build broadly capable robotic systems that continuously improve through work performed across an expanding customer base.
But the economics remain challenging.
Tutor must manufacture and maintain physical equipment, support remote human operators and keep robots productive enough for customers to justify continued spending.
The company has not publicly disclosed its revenue, gross margins or valuation from the Series B.
The financing represents a bet that real-world deployment, rather than laboratory performance alone, can become a durable competitive advantage in physical AI.
Sources: Andreessen Horowitz · a16z on growth and founders · Company announcement