Tutor Intelligence raises $75M from a16z to rent out robot workers by the hour — TFN

• Tutor Intelligence has raised $75 million in a Sequence B spherical led by Andreessen Horowitz.
• The corporate rents out robots by the hour or per decide, and prospects don’t must make any upfront purchases.
• Virtually one-third of shoppers who received robots previously 12 months got here again for extra.

Josh Gruenstein, who as soon as induced elevator outages as a child by welding in his condo constructing’s basement, now leads an organization that rents robots to factories by the hour. His startup, Tutor Intelligence, simply raised a $75 million Sequence B led by Andreessen Horowitz.

Tutor Intelligence, primarily based in Watertown, Massachusetts and spun out of MIT’s CSAIL, has raised $ 117 million in whole. Union Sq. Ventures and Neo, which led the Sequence A and seed rounds, additionally joined in.

Two MIT tinkerers and an information downside

Gruenstein co-founded Tutor in 2021 with Alon Kosowsky-Sachs, whom he first met at MIT and as soon as known as the “man with the DIY Segway robotic” within the firm’s Series A letter. In 2020, Gruenstein joined Kosowsky-Sachs in an MIT lab targeted on constructing robotic AI with deep studying.

Whereas others noticed robotic studying as an algorithm downside, Gruenstein and Kosowsky-Sachs noticed it as an information downside. Gruenstein identified that nobody had collected robotic knowledge on the size of laptop imaginative and prescient or language datasets as a result of it “would value tens of millions, if not billions.”

Their reply was to ship out a fleet of robots to do paid work, letting every job create coaching knowledge. To do that, they needed to begin a enterprise. By December 2025, Tutor had over 60 staff. Its $34 million Sequence A, led by USV, introduced whole funding to $42 million.

Robots on the clock

Tutor lets companies rent robotic labor the identical approach they rent folks: by the hour or by the decide. Prospects don’t need to pay upfront or signal lengthy contracts. The corporate handles deployment and upkeep and retains the robots’ software program updated.

Tutor’s robots, Sonny and Cassie, work in huge US manufacturing and logistics networks, dealing with issues like breakfast cereals, snacks, sweet, cosmetics, house items, and toys. Distant operators, known as “tutors,” give enter to the robots, and each completed job turns into coaching knowledge for Tutor’s basis fashions.

This ongoing studying loop units Tutor other than opponents with bigger funding rounds. Eka Robotics raised $150 million in a Sequence A at a $1.45 billion valuation on October 21, led by a16z and F-Prime, and trains its robots in simulation earlier than transferring expertise to {hardware}. Skild AI raised $1.4 billion in January at a valuation over $14 billion, led by SoftBank, to construct a single “omni-bodied” basis mannequin for a lot of robotic sorts. Apptronik raised $520 million in Sequence A in February for humanoid robots. Whereas these corporations give attention to simulation, unified fashions, and humanoid {hardware}, Tutor trains its robots on real-world paid jobs.

“It’s not solely that Tutor’s fashions let robots do jobs that robots have by no means been capable of do earlier than. This sort of intelligence additionally makes robots reasonably priced on an entire new degree. We’re unlocking a lot broader entry to the options that companies must survive and that make fundamental items cheaper for everyone. And the demand is there. We will hardly construct robots quick sufficient,” stated Gruenstein, co-founder and CEO of Tutor Intelligence.

Current knowledge backs this up. Tutor’s robots now work in virtually 4 occasions as many locations as final 12 months, and a couple of third of organizations that received robots previously 12 months got here again for extra. The corporate expects to have over 1,000 robots beneath contract by the top of 2027, all constructed and deployed within the US.

The brand new funding will assist prepare Tutor’s superior robotic basis mannequin and help the manufacturing and deployment of Sonny and Cassie. By renting out robots, Tutor covers the price of constructing each as an alternative of charging prospects upfront.

Why a16z is backing deployment over simulation

a16z led Eka’s funding spherical 12 days earlier than Tutor’s. Whereas Eka tackles the missing-data downside with simulation, Tutor does the alternative, as an investor identified within the announcement.

“Tutor’s perception is that deployment isn’t simply the vacation spot for robotics analysis—it’s the way you overcome its limitations. Fairly than asking the true world to suit the analysis, Tutor begins with what real-world deployments demand and works backward by means of distribution, {hardware} and analysis. Continuous studying throughout an increasing vary of deployments is the trail from specialised capabilities to general-purpose robotics,” stated Raghu Raghuram, common associate at a16z and former CEO of VMware.

The agency has a monitor report of investing in hardware-focused corporations. It additionally backed Northwood Area, which raised $375M in a Series C at a $2B valuation. Tutor’s flywheel builds towards a usually succesful robotic workforce and a safer, extra reasonably priced and extra considerable world for the American shopper.

Tutor is becoming a member of a crowded market. Generalist, began by former DeepMind researchers, hit a $3 billion valuation with $200 million in funding. Germany’s RobCo turned Europe’s latest robotics unicorn at a $1 billion valuation. Agility Robotics went public at a $2.5B valuation.

Mordor Intelligence predicts the warehouse robotics market will develop from $10.96B in 2026 to $24.55B by 2031, a 17.5% CAGR. Since Tutor additionally works in factories, this quantity is simply a part of its potential market.

The physical-AI area remains to be cut up on the easiest way to construct robotic intelligence: simulation, a common mannequin, or real-world deployment. a16z has backed two of those approaches in simply 12 days. Tutor’s intention to construct 1,000 robots by the top of 2027 will assist present whether or not fleet knowledge is best.