Agility Robotics goes public via SPAC as first pure-play humanoid robotics stock

Agility Robotics is heading to the stock market. The company will list through a reverse merger with a special purpose acquisition company, raising $465 million in fresh capital from retail investors plus a tranche of private funding, and in the process becoming, according to TechCrunch, the first pure-play humanoid robotics firm to trade publicly.

A bankruptcy prediction that aged poorly

TechCrunch points out the irony hanging over the deal: roughly a year ago, the chief executive of rival Figure AI responded to social-media needling from Agility by predicting the company would be out of business within twelve months. Instead, Agility is going public.

The company predates the current wave of investment in physical AI. It was spun out of Oregon State University in 2015 by researchers who had made progress on the problem of keeping a robot upright and safe on two legs. CEO Peggy Johnson told TechCrunch that Agility deliberately skipped showy demonstrations of dancing or backflipping machines and concentrated on dull, repetitive jobs that employers struggle to fill with people.

Robots in the field, modest revenue

That focus has produced genuine deployments. According to TechCrunch, Agility has placed its Digit robots with nine customers, including Schaeffler, GXO, Toyota Motor Manufacturing Canada and Mercado Libre, typically to move heavy totes — more than 100,000 of them at a single GXO logistics site.

The commercial results remain small. TechCrunch reports that Agility generated $174,000 in revenue in the first six months of 2026, mostly from related parties, while losing $362 million over the same period. The clock is therefore running on the newly raised capital.

Digit 5 carries the listing's hopes

The bull case rests on the next generation of hardware. Agility says it has $300 million in planned contracts from 30 customers for Digit 5, a model designed to operate safely around people rather than inside an isolated work cell like most humanoids. Johnson told TechCrunch that pipeline was a major reason for taking the company public, though she could not name the customers or confirm whether any of them are investors.

Closing those deals depends on Digit 5 hitting undisclosed performance targets covering throughput, uptime and placement accuracy. No prototypes have been shown publicly yet; TechCrunch says demonstrations are planned for CES 2027, with wide availability by the end of that year.

Agility's economic pitch is that a robot saves a customer roughly $100,000 a year under a robot-as-a-service arrangement, and more if purchased outright. Prospective customers must pay $500,000 for an on-site proof of concept before a deployment scales up; four had signed on as of May 2026. The current robot places loads with 98% accuracy but, like most of today's humanoids, cannot handle complex manipulation tasks.

Johnson also pointed to training data as an edge. Agility has accumulated 65,000 hours of real operational data from customer facilities, which she said speeds up Digit's training in a field where no large public dataset of robot movements exists and competitors lean on simulation techniques with mixed results. She said the SPAC proceeds cover the company's current needs but declined to promise they would carry it to self-sufficiency, and shared no production targets — though Agility has previously said its factory could build 10,000 robots a year.

Why it matters

The listing is a first for the humanoid robotics industry, turning a sector that has so far lived on private capital into something retail investors can value every day. It also creates a public scoreboard: Agility's reported revenue and losses will make the gap between humanoid hype and commercial reality visible each quarter. The company is further along than most competitors because its machines are already doing paid work in warehouses, but the numbers underline how early the market still is. The bet now hinges almost entirely on Digit 5 hitting its performance targets and converting $300 million in planned contracts into real deployments on schedule. Success would validate robot-as-a-service economics for physical labor; a stumble would hand ammunition to skeptics, including the rivals who once predicted the company's collapse. As co-founder and CTO Jonathan Hurst framed the long game to TechCrunch, the plan is to start with bins and totes, move on to picking and kitting, then tackle harder problems like cardboard and trailer loading — a path he suggests leads to enormous scale.