Why Fremont Matters in the Humanoid Robot Race
Agility Robotics just made a bold territorial move. The Oregon-based company is opening a 60,000-square-foot facility in Fremont, California, placing its Digit humanoid robot training center less than 10 miles from the factory where Tesla plans to manufacture its Optimus robot. The location is a deliberate signal that Agility believes it has a head start it intends to keep.
The facility is not a factory. It is a training ground. Inside, Digit robots will learn new skills in environments modeled after real warehouses and manufacturing floors, complete with the totes, bins, conveyor belts, and racking systems they will encounter in customer facilities. Agility says more than 30 companies are in active talks about deploying Digit, and the new center is designed to accelerate how quickly those deployments can happen.
CEO Peggy Johnson told TechCrunch that having Tesla in the same area is actually a positive. "It's great to have them in the same area as us, because really, for a long time Agility was out there alone, and it's good to have others in the humanoid space," she said. But the subtext is clear: Agility is already doing what Tesla is still promising.
Digit Is Generating Revenue Today. Optimus Is Still a Promise.
Here is the headline number that separates Agility from the rest of the humanoid robot pack: Digit is already generating revenue. The robot is carrying totes and bins in real manufacturing and warehouse environments for customers including Amazon, GXO, Schaeffler, and Toyota Motor Manufacturing Canada. Agility has secured $300 million in contract orders for its robots and has moved more than 100,000 totes at a single GXO logistics facility alone.
Tesla's Optimus, by contrast, has not entered commercial production. Elon Musk has said he expects Optimus to be "the biggest product ever" once it becomes "useful outside of Tesla sometime next year," but the timeline has slipped repeatedly. Agility is not waiting. It is selling, deploying, and collecting revenue today.
This is the fundamental difference between a company that has spent a decade iterating on real-world hardware and a company that is still in the engineering prototype phase. Agility was founded in 2015 by researchers who spent years developing bipedal locomotion techniques that allow robots to walk safely on two legs. That base of practical engineering is now paying off in commercial contracts.
The Revenue-First Approach vs. The Hype Cycle
Agility is taking a notably grounded approach to autonomy. While many newer entrants in the humanoid space are betting everything on AI breakthroughs, Agility's engineering philosophy separates safety-critical systems from generative AI. Co-founder Damion Shelton put it bluntly: "You don't want to get creative with your safety stack." In Digit, all safety-critical functions run on deterministic control systems, not neural networks. Generative AI handles higher-level task planning and application logic, where creativity and flexibility are assets rather than liabilities.
That distinction matters for founders and investors evaluating the space. The practical, revenue-first roadmap means Agility is focused on industrial and logistics use cases where the return on investment is clear. One humanoid robot working a tote-moving shift in a warehouse replaces a repetitive job that is hard to staff. The economic calculus works today, not in some speculative future.
The company has no plans to offer in-home humanoid robots anytime soon, a stance that aligns with independent robotics experts who believe today's robots are not safe enough for consumer environments. Digit currently operates in human-free zones, but the Version 5 model, expected this fall, will include human-sensing capabilities that allow it to work alongside people.
What Happens Next: The Public Markets and the Competitive Landscape
Agility is pursuing a reverse merger that would make it the first pure-play humanoid robot company on the public markets later this year. If successful, the listing would provide a significant capital injection and give public market investors their first direct bet on humanoid robotics outside of Tesla.
The competitive field is heating up. Startups like Figure, 1X, The Bot Company, and Sunday Robotics are all chasing the same vision of general-purpose humanoid labor. But none of them can point to $300 million in contracted orders and real revenue from Fortune 500 customers. Agility's lead is substantial, but it is not insurmountable. The arrival of transformer-based neural networks has accelerated what is possible in robotic behavior, and deep-pocketed newcomers could close the gap faster than Agility's decade of experience might suggest.
For founders and operators building in adjacent spaces, the lesson is this: the humanoid robot market is no longer theoretical. It is a real, revenue-generating industry with a clear path to public markets. The companies that win will be the ones that solve the hardest engineering problems first, not the ones that generate the most hype. Agility is proving that practical deployment beats PowerPoint promises every time.