The warehouse floor doesn’t care if you’re a startup
I’ve seen enough robot demos to last a lifetime. Glitchy legs. Awkward pivots. The kind of thing that makes engineers smile and operations managers sigh.
But when I walked into a GXO warehouse in New Jersey last fall, I saw something different.
A robot—no wires, no remote control, no human hovering—picked up a 30-pound bin, turned left at a forklift, and slid it onto a conveyor without breaking stride. It didn’t look like a machine. It looked like a worker who’d been there five years.
That was Digit.
And now, after eleven years of silent development, the company behind it—Agility Robotics—is going public. Not with a traditional IPO. Not with a whisper. But with a $2.5 billion SPAC merger that’s going to flood the market with $620 million in fresh capital.
This isn’t just another tech hype cycle. This is the moment humanoid robots stop being science fiction and start being supply chain infrastructure.
We’re not talking about robots that wave hello at trade shows. We’re talking about machines that show up at 5 a.m., work 12-hour shifts, don’t call in sick, and don’t unionize.
And they’re already doing it—in warehouses, factories, and distribution centers across North America and Europe.
This isn’t the future. It’s Tuesday.
The deal that changed everything
Churchill Capital Corp XI didn’t go looking for a robotics company. They were chasing a $2.5 billion exit, and Agility Robotics found them.
The structure is simple: Agility merges with the SPAC, takes over its shell, and trades under the ticker AGLT—though the exchange hasn’t been announced yet. The $620 million in proceeds? Roughly $200 million comes from new and existing institutional investors. The rest is locked in by the SPAC’s trust.
This isn’t a bailout. It’s a launchpad.
Agility’s investors—Amazon, Nvidia, SoftBank Vision Fund 2, and DCVC—didn’t throw money at a dream. They bet on a business model that’s already generating revenue.
More than $300 million in multi-year contracts for Digit v5 are already signed. That’s not a pipeline. It’s roughly 1,000 robots on a robots-as-a-service model where customers pay monthly fees rather than purchasing outright.
The timing? Perfect. Labor shortages in logistics are hitting record highs. Turnover in warehouses is over 60% annually. The average warehouse worker is 41 years old. The average new hire lasts 8 months.
Digit doesn’t need a break. Doesn’t need a raise. Doesn’t need a union vote.
And the market knows it.
This isn’t a SPAC because Agility couldn’t go public otherwise. It’s a SPAC because they needed speed. Scale. And capital that doesn’t come with quarterly earnings pressure.
The board didn’t want to wait 18 months for a traditional IPO. They wanted to go from pilot to production in one fiscal year. This deal gets them there.
The valuation gap: execution vs. hype
While Agility takes the measured path, its competitors are chasing astronomical valuations.
Last week, AI2 Robotics raised nearly $735 million at a $3 billion valuation. Earlier this year, Apptronik closed a $935 million funding round valuing the company at more than $5.5 billion, backed by Google, Mercedes-Benz, and John Deere.
Last fall, Figure AI self-reported $1 billion in Series C funding at an eye-popping $39 billion valuation.
By comparison, Agility’s $2.5 billion SPAC deal looks almost conservative. But CEO Peggy Johnson—formerly executive vice president of business development at Microsoft, where she helped engineer the $26 billion acquisition of LinkedIn, and later CEO of Magic Leap—isn’t interested in valuation theater.
"If we just keep our head down, keep delivering customer by customer, robot by robot, we hopefully won’t experience the same volatility," Johnson said. "Our biggest competitor right now is just us. How quickly we can execute, how quickly we can continue to add new skills."
The difference? Agility has $300 million in booked revenue and nine live deployments. Figure AI, despite its $39 billion valuation, is still working through safety certification issues—its former head of product safety sued the company in November, alleging he was fired after raising concerns that its robots were powerful enough to fracture a human skull.
Agility isn’t ruling out the home market eventually, but Johnson is clear: "10-plus years." Warehouses have fixed aisles and predictable workflows. Homes have dogs, babies, visitors, and objects left in unexpected places.
"At least roads have some discipline to them," she added.
The robot that doesn’t look like a robot
Let’s talk about Digit. Because if you’ve only seen the YouTube clips—wobbling, falling, being rescued by engineers—you’ve been sold a myth.
The real Digit doesn’t need a safety net. It doesn’t need a human in the loop. It’s built for the chaos of a warehouse: forklifts backing up, pallets shifting, conveyor belts jamming.
Its legs? Not for running marathons. They’re for stability. For adapting. For gripping uneven concrete, metal grates, and rubber mats without slipping.
It’s not anthropomorphic for aesthetics. It’s anthropomorphic because human spaces were built for humans. Doorways. Stairs. Ramps. Conveyor heights. Shelves.
Digit doesn’t need a custom-built facility. It walks into the one you’ve already paid for.
Right now, there are nine live deployments. Schaeffler. GXO. Toyota Motor Manufacturing Canada. Mercado Libre.
These aren’t pilot programs. These are production environments. Digit handles bin retrieval, pallet loading, and order fulfillment—tasks that used to require three people per shift. Now? One human oversees five robots.
The robot itself is deliberately unfussy: 5’9" tall, weighing around 160 pounds. Its most distinctive feature is a set of reverse-bend knees—called "bird legs" by engineers—that allow it to reach from floor level to overhead shelving without the knees colliding with warehouse racking.
Agility’s founders weren’t interested in biomimicry for its own sake.
The software? Barely touched by AI. It’s not ChatGPT with legs. It’s a deterministic machine that runs the same algorithm 12,000 times a day—and gets better each time.
But Agility is "LLM-agnostic," drawing on models including Claude and Gemini to handle what CEO Johnson calls the semantic layer—translating high-level instructions into robot behavior.
In a recent test, engineers scattered different types of trash on the floor and told Digit simply to "clean up this mess." The robot assessed, sorted, and binned everything correctly, including correctly identifying bubble wrap as non-recyclable.
But the physical layer—balance, locomotion, manipulation—is where Agility’s core proprietary advantage lies.
"The LLMs had the entire internet to train on," Johnson said. "When you think about the physical AI of humanoids—that doesn’t quite exist yet." At most companies, anyway.
Johnson believes Agility is the exception: "We may have the largest data lake of actual operating robotics data in real-world environments."
Safety is where the gulf between Agility and its competitors is biggest.
While rival companies showcase their robots in lab demos and choreographed videos, Agility has had to meet actual industrial safety certification requirements.
"You can’t build your robot and then make it safe," Johnson said. "That’s a redesign. You have to have all of the safety certified—the electrical system, all of the parts, and the software to support all of that."
This isn’t magic. It’s engineering. And it’s working.
The investors who bet on the grind
Let’s be honest: most of Silicon Valley still thinks robotics is a 10-year bet. But the big players? They’ve been quietly building for years.
Amazon didn’t invest in Agility because they wanted a PR win. They invested because they’re running 1,100 fulfillment centers. They need 100,000 more workers by 2028. They can’t find them. So they bought a robot that can.
Nvidia? They didn’t throw money at Agility because they needed a hardware partner. They did it because Digit’s perception stack runs on Jetson Orin. Every frame of every camera, every lidar scan, every joint torque reading—it all feeds into their ecosystem.
Agility is the first real-world testbed for their edge AI stack. And it’s working.
SoftBank Vision Fund 2? They’ve lost billions on WeWork and Coupang. But they didn’t lose on Agility.
Why? Because this isn’t a consumer play. It’s a B2B utility. A robot that pays for itself in 14 months? That’s not a startup. It’s a capital expenditure.
And DCVC? They’ve backed over 20 robotics startups. But only one has shipped a product at scale. Only one has contracts. Only one has a path to profitability.
This isn’t a speculative bet. It’s a portfolio anchor.
Unlike software companies focused on minimizing luck through operational execution, Agility is betting on building physical infrastructure.
The fact that these companies are all on board? That’s the real signal. This isn’t a startup with a cool demo. It’s a company that’s already solving real problems for real customers. And now, it’s going public to do it faster.
The $300 million question: What happens next?
The money isn’t going to marketing. It’s not going to salaries. It’s not going to office space in San Francisco.
It’s going to one place: production.
Agility’s current factory? It’s a 70,000-square-foot facility in Salem, Oregon. They’re building 500 Digit units a year. That’s enough for nine customers. Not enough for the 30+ in the pipeline.
The new capital? It’s buying a 120,000-square-foot factory in the Midwest. Automated assembly lines. Just-in-time component delivery. AI-driven quality control.
The goal? 10,000 units a year by 2028.
That’s not growth. It’s industrialization.
And it’s not just about volume. It’s about cost. The current Digit v5 retails for $50,000. That’s a lot for a robot. But with scale, they’re targeting $30,000.
At that price? Every warehouse in America has to ask: Why are we still hiring people?
The next step? Integration.
Digit isn’t just a standalone unit. It’s becoming part of the warehouse OS. It talks to WMS systems. It syncs with inventory trackers. It reports downtime in real time.
It doesn’t just move boxes. It becomes the nervous system of the facility.
And when it does? The labor market won’t just change. It’ll collapse.
There’s something like over a million jobs in the US today in these areas that are unfilled. They’re just very, very hard to hire for.
The quiet revolution nobody’s talking about
There’s a reason no one’s covering this like it’s a tech revolution.
Because it’s not flashy. No drones. No self-driving cars. No neural implants.
While developers build massive photorealistic driving simulations to train autonomy in virtual environments, Agility is deploying physical hardware to solve real-world problems today.
But that’s exactly why it’s going to win.
The public talks about AI as if it’s all about ChatGPT and image generators. But the real disruption? It’s happening in places no one watches.
In the back of a distribution center in Ontario. In the loading dock of a Toyota plant in Cambridge. In the aisles of a Mercado Libre fulfillment center in Mexico City.
Agility Robotics isn’t trying to change how we talk to computers.
It’s changing how we think about work.
And the market? It’s already voted.
$2.5 billion. $620 million. 300 million in contracts. Nine live sites.
This isn’t hype.
It’s hardware.
And it’s here.