Agility Enters the Stock Market Through a Reverse Merger
Agility is making history as the first pure humanoid robot company to hit the stock market, raising $465 million in new capital through a special purpose acquisition company, commonly known as a SPAC. This financial move comes almost a year to the day after Figure AI CEO Colby Adcock predicted that Agility would face bankruptcy within twelve months. Instead of closing its doors, the company secured fresh funds from retail investors and a tranche of private funding to fuel its next phase of growth.
CEO Peggy Johnson noted that the firm avoided flashy demonstrations of dancing or backflipping machines in favor of practical utility. The company stuck to a strategy focused on manual, repetitive jobs that human workers find difficult to fill. This deliberate focus on industrial practicality allowed the business to secure its position on the public market ahead of competitors.
The Origins and Early Deployment of Digit Robots
Agility predates the recent surge in physical AI investment, having spun out of Oregon State University in 2015. A group of researchers formed the enterprise after making significant headway in figuring out how to get a robot to walk safely on two legs. The company has focused on deploying a handful of its Digit robots in industrial settings with nine different customers, including Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre. These machines are generally used to move heavy totes, including more than 100,000 of them at a GXO logistics facility.
Compared to humanoid robots built by Figure, Tesla, 1X, or Boston Dynamics, Agility's Digit can seem plodding. However, the machine is actually doing real work and earning money, bringing in $174,000 in the first six months of 2026, mostly from related parties. During the same time period, the company lost $362 million, which means the clock is ticking for leadership to successfully deploy its infusion of new capital.
What to Expect From the New Digit 5 Robot Model
The enterprise holds $300 million in planned contracts from 30 customers for its new generation of robot, known as Digit 5. This upcoming model can safely operate around humans, rather than just inside an isolated work cell like its previous iteration and most other humanoid machines on the market. Johnson explained that this major deal served as one of the driving factors behind the decision to take the firm public, though she could not yet reveal the identities of the customers or state whether they are investors.
To officially close these deals, Digit 5 will have to hit undisclosed targets along several metrics, including throughput, uptime, and accuracy of placement. Prototypes of Digit 5 have not yet been shown to the public, but Johnson stated they will be demonstrated at CES 2027 and become widely available at the end of that year. Prospective customers need to spend $500,000 for Agility to perform an on-site proof of concept before a deployment is fully scaled up, with four customers signed up under this arrangement in May 2026.
Unit Economics and Workplace Safety Goals
The company pitches its technology around the idea that a robot can save $100,000 a year for businesses under a robot-as-a-service model, with even greater savings if the customer purchases the machine outright. Whether those unit economics work out in the end will depend on Digit 5 capabilities regarding task accuracy and how long it can work without pauses for recharging or maintenance. Johnson pointed to the example of a single person lifting a 50-pound object, an informal threshold some workplaces use to avoid injury.
Digit can perform that lifting motion repeatedly without fatigue, taking over hazardous duties from human staff. While Agility can pick up heavy loads and place them with 98% accuracy, it still lacks the ability to perform complex manipulation tasks, a limitation shared by most machines currently on the market. Researchers are still determining how quickly generative AI techniques will unlock the dexterity required to handle a wide variety of items.
Overcoming Data Scarcity in Physical Artificial Intelligence
Training systems based on video and teleoperation data have not yet led to reliable general autonomy, though adapting the transformer architecture to different modalities appears promising to physical artificial intelligence researchers. Johnson explained that no internet of physical data exists for robot movements, which explains why many developers attempt to simulate data through various means. Agility uses all of those techniques while also leveraging 65,000 hours of real operational data gathered from actual customers in real facilities.
This operational history helps accelerate the training process for Digit. While the capital raised in the SPAC transaction will meet current operational needs, Johnson did not project that the funds would be fully sufficient to make the business self-sustaining. The company has not shared specific production targets for Digit 5, but its production facility holds the capacity to manufacture 10,000 of the units annually.
Future Outlook for Industrial Humanoid Automation
Cofounder and Chief Technology Officer Johnathan Hurst outlined the long-term vision at the opening of the company Fremont research and development facility during the summer. He emphasized starting with simple tasks like handling bins and totes before progressing to picking, kitting, and eventually managing cardboard, tractor-trailer loading, and unloading. By taking cues directly from clients and building a practical business, the team aims to scale operations significantly over the coming years.
For all the open questions regarding profitability and dexterity, Agility remains ahead of most competitors by simply putting its product directly into the field. Johnson confirmed that the organization will continue listening closely to facility operators to understand their daily needs. The strategy centers entirely on practical deployment, ensuring that every technological step forward addresses a concrete industrial demand.
