Agility Goes Public: First Pure Humanoid Robot Play Hits the Market

Agility Robotics will raise $465 million and become the first pure-play humanoid robot company on the stock market, through a reverse merger with a special purpose acquisition company. The listing arrives almost a year to the day after Figure AI CEO Colby Adcock, reacting to social media taunting from Agility, predicted the rival would be "bankrupt in <12 months." Instead, Agility is tapping retail investors and a tranche of private funding.

CEO Peggy Johnson framed the debut around workhorse reliability rather than spectacle. "You don't see a lot of dancing robots or backflipping robots from Agility," she told TechCrunch ahead of the market debut. "We stuck to our strategy, which [are] these manual, very repetitive jobs, that it's hard to find humans to do."

Where does the money come from — and go?

The financials are thin. Agility reported $174,000 in revenue in the first six months of 2026, mostly from related parties, against a $362 million loss over the same period. That burn rate puts pressure on the company to deploy its new capital quickly; the $465 million raise covers roughly 19 months of losses at the recent pace, on a simple arithmetic basis.

The company's pitch rests on a robot-as-a-service model that it says saves customers $100,000 per robot per year, with greater savings for outright purchases. Whether that math holds depends on Digit 5's task accuracy and how long it can run without recharging or maintenance — figures Agility has not disclosed.

Who is actually using the robots?

Agility predates the current physical AI boom. Oregon State University researchers spun it out in 2015 after making headway in getting a robot to walk safely on two legs. Today, a handful of its Digit robots work in industrial settings for nine customers, including Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre. The robots move heavy totes — more than 100,000 of them at one GXO logistics facility.

Johnson pointed to a concrete use case: a single person lifting a 50-pound object, an informal injury-avoidance threshold in some workplaces. "Digit can do that over and over and over," she said. "You don't want to give a human that job. You want to give that to the robot."

What rides on Digit 5?

The next model carries the listing's logic. Agility counts $300 million in planned contracts from 30 customers for Digit 5, which can operate safely around humans rather than in an isolated work cell. That pipeline was "one of the driving factors" behind going public, Johnson said — though she could not name the customers or say whether any are investors.

The commitments are conditional. Johnson said Digit 5 must hit undisclosed targets on throughput, uptime, and placement accuracy before deals close. No prototypes have been shown; demonstrations are promised at CES 2027, with wide availability by the end of that year. Prospective customers must also pay $500,000 for an on-site proof of concept before scaling a deployment — four had signed up as of May 2026.

Current capability has limits. Digit picks and places heavy loads with 98% accuracy but, like most robots today, cannot perform complex manipulation. It remains unclear how quickly generative AI techniques will deliver the dexterity to handle varied items; video- and teleoperation-based training has not produced reliable general autonomy, though adapting transformer architectures across modalities looks promising to researchers.

"There's no internet of physical data of robot movements, and that's why you see so many people trying to simulate the data using a variety of things, and we use all of those techniques as well," Johnson said. "They have their pros and cons, but we also have … 65,000 hours of real operational data from real customers in real facilities…that helps us accelerate the training of Digit."

Can the capital carry it to sustainability?

Johnson said the SPAC proceeds would meet current needs but declined to project self-sufficiency. She shared no production targets for Digit 5, though the company has said its facility could build 10,000 robots annually. "What you'll see from us going forward is continuing to listen to our customers, understanding what they need in these facilities," she said. "We're taking our cue from them because we're building a business."

Cofounder and CTO Johnathan Hurst, speaking at the opening of the Fremont R&D facility this summer, sketched a long roadmap: "Let's start with the bins and the totes, and then let's do the picking and the kitting. And then let's like start working on cardboard, which is really hard, and loading and unloading tractor trailers and things like that. Okay, now we're at 100 million robots, you know? A trillion-dollar company."

For all the open questions, Agility has done what most humanoid builders have not: put paying robots to work in real facilities. The market will now price how far that head start stretches.