The money pouring into humanoid robotics is staggering. Startups in China, Texas, and California are raising billion‑dollar rounds and touting sky‑high valuations as they race to build general‑purpose machines that can walk, lift, and eventually work alongside humans. In the middle of that frenzy, Agility Robotics is taking a different route: opening its books to Wall Street while keeping its promises deliberately modest.

Agility, a spinoff from Oregon State University based in Salem, Oregon, has agreed to merge with Churchill Capital Corp XI, a special purpose acquisition company. The deal values Agility at about $2.5 billion and could raise more than $620 million in gross proceeds, a record haul for a humanoid robotics firm. If completed, it would make Agility the first pure-play humanoid robotics company to trade publicly, giving everyday investors a rare chance to bet directly on the sector.

Chief executive Peggy Johnson, a veteran of Microsoft and former CEO of augmented reality startup Magic Leap, is framing the move as a calculated acceleration rather than a splashy debut. She argues that going public now locks in a first-mover advantage and provides the capital needed to scale production at Agility’s 70,000‑square‑foot factory, where its bipedal robot Digit is built for warehouse and factory work.

Digit is not a sci‑fi butler. Standing about 5 feet 9 inches and weighing roughly 160 pounds, it is engineered for one core task: moving heavy objects in human‑designed spaces. Its reverse‑bending “bird‑leg” knees let it reach from floor to overhead shelves without colliding with racks, and its hands are tuned for gripping plastic totes as their contents shift. Agility sells Digit largely through a robots‑as‑a‑service model, with customers paying monthly fees instead of buying the machines outright. Johnson says the company has more than $300 million in booked, multi‑year revenue, representing around 1,000 robots for clients including major logistics and manufacturing players.

Behind Digit’s capabilities is a blend of large language models, used to translate high‑level commands into actions, and what Johnson calls “physical AI” — the hard‑won data and engineering that keep a walking robot balanced, safe, and productive in real facilities. She contends Agility’s years of deployments give it one of the largest real‑world data troves in the field, and stresses that safety certifications were baked into the design from the start.

For all the excitement, Johnson is blunt about where humanoids will not be any time soon: your living room. Homes are messy, unpredictable environments, she notes, far more chaotic than warehouses with fixed aisles and repeatable workflows. A useful home robot, in her view, is at least a decade away.

Until then, Agility is focused on filling grueling, unfilled warehouse and factory jobs, betting that solving those problems — not delivering breakfast in bed — is what will ultimately justify its leap onto the public markets.