Agility Robotics Opens Digit Training Facility Near Tesla's Base

Agility Robotics has unveiled a new 60,000-square-foot (approximately 5,574 square meters) facility in Fremont, California, to accelerate the training and deployment of its humanoid robot “Digit.” The site is strategically located in close proximity to Tesla’s factory, where the company is expected to begin manufacturing its own humanoid robot, “Optimus,” by 2026. This development was reported by TechCrunch AI’s Tim Fernholz.

Peggy Johnson, CEO of Agility Robotics, commented on the geographic proximity to Tesla, saying, “For a long time, Agility has operated alone in the humanoid robotics field. Having Tesla in the same area is a good thing.” While Agility may not have Tesla’s financial resources, the company stands out for already generating revenue with the operational deployment of Digit.

Digit is primarily used in manufacturing facilities and warehouses for tasks like transporting totes and containers. It has been adopted by clients such as Amazon, GXO, Schaeffler, and Toyota Motor Manufacturing Canada. Agility has announced securing $300 million in contract orders for Digit. Although the company has not disclosed exact shipment numbers, outside observers estimate that dozens of units are being employed either in pilot programs or revenue-generating operations. For instance, at GXO’s logistics center, Digit has reportedly moved over 100,000 totes.

Digit’s Commercialization and Competitive Edge

Agility Robotics was founded in 2015 by a group of researchers dedicated to developing new technologies for safe bipedal robot locomotion. The company is now striving to maintain its lead over emerging AI-driven robotics startups such as Figure, 1X, The Bot Company, and Sunday Robotics.

One of Agility’s key strengths lies in its ability to bridge breakthrough advancements in transformer-based neural networks into practical applications. Co-founder and Chairman Damion Shelton pointed out the importance of safety, using self-driving cars as an analogy: “Just as you wouldn’t want an anti-lock brake controller to be AI-driven, the safety stack of humanoid robots should not rely on generative AI.” He emphasized that safety protocols should follow tested and verified processes, not experimental AI.

However, Shelton also highlighted the transformative potential of generative AI in scaling operations. When asked by board member and QuickTime inventor Bruce Leak how the company planned to code applications for its robots, early Agility had no clear answer. Shelton reflected, “The number of tasks a robot can perform far exceeds the number of engineers who can program them. Generative AI provides a decisive solution to that question.”

A Design Philosophy Balancing Safety and

Scalability

Agility’s approach separates low-level safety controls from high-level autonomous decision-making. Digit’s safety stack—covering functions like stop mechanisms, collision avoidance, and load limits—is designed using traditional control theory. Meanwhile, generative AI is employed primarily for higher-order tasks such as planning and adapting to environments. This hybrid approach reduces the risk of unpredictable robot behavior while enabling flexibility to handle diverse tasks.

This design philosophy aligns with recent discussions around platform testing methods. In software quality assurance, there’s a renewed focus on emphasizing verified pathways (Inspiration from GNOME OS Test Center and Apple TestFlight).

IPO Plans and the Future of the Humanoid

Robot Market

CEO Johnson is currently working to bring Agility to the public market through a reverse merger by the end of the year. If successful, Agility would become the first publicly traded company specializing exclusively in humanoid robotics. This move underscores a broader shift in the AI industry toward emphasizing practicality and commercialization. Much like past instances of reviving older models, the industry is now searching for sustainable business models (Anthropic Declares the Return of Fable 5).

Digit’s practicality stands out, especially when compared to cases where new products underperform their predecessors (Google’s New Home Speaker Falls Short of 6-Year-Old Nest Audio in Sound Quality). Agility has cleared significant hurdles, including integrating its robots into facilities, meeting safety and regulatory standards, and aligning with IT infrastructure and warehouse management systems.

Elon Musk recently stated that if Optimus proves useful outside Tesla by next year, it could become “the biggest product in history.” Agility, however, appears to be already approaching that milestone. The opening of the new training facility symbolizes Agility’s commitment to accelerating its commercial deployment and highlights the intensifying competition for dominance in the humanoid robot market.

Editorial Opinion

In the short term, Agility’s new facility and its $300 million in contract orders cement the fact that humanoid robot commercialization has moved beyond the proof-of-concept stage. The facility’s proximity to Tesla’s factory could intensify competition between the two companies, including a potential rivalry in talent acquisition. Leveraging its proven track record, Agility is likely to accelerate early adoption in logistics and manufacturing sectors.

In the long term, if Agility’s IPO succeeds, it could shift investor benchmarks for evaluating humanoid robotics companies. While profitability and practicality will take center stage, distinguishing itself from capital-rich competitors like Tesla will remain a challenge. How the market assesses the balance between safety and AI utilization will play a pivotal role in shaping the industry’s trajectory.

From the editorial team’s perspective, while it’s noteworthy that Digit is generating revenue in real-world environments, the lack of transparency around deployment numbers is worth scrutinizing. If the estimate of only a few dozen units is accurate, scaling up remains a formidable challenge. Should Tesla proceed with large-scale production of Optimus, the sustainability of Agility’s first-mover advantage will be put to the test.

References

• “Agility Robotics plants its flag in Tesla’s backyard”, by Tim Fernholz — TechCrunch AI, 2026-07-17T20:19:49.000Z (ARR)
• Source URL: https://techcrunch.com/2026/07/17/agility-robotics-plants-its-flag-in-teslas-backyard/