Acquisitions

Agility Robotics Starts Nasdaq Trading After Churchill SPAC Merger

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Agility Robotics announced on November 5, 2026 that its common stock and warrants had begun trading on Nasdaq after completing its business combination with Churchill Capital Corp XI, with the transaction and related financings providing approximately $465 million in gross capital before transaction expenses.

The company describes the listing as making it the first U.S. publicly listed pure-play humanoid robotics company with proven, active commercial deployments, citing nearly three years of real-world deployment experience and more than 65,000 hours of operation. Digit is operating with GXO, Schaeffler and Toyota Motor Manufacturing Canada.

The debut followed Agility’s November 4, 2026 completion announcement, which said the Churchill transaction had closed and that Nasdaq trading was expected to begin on November 5, 2026.

Capital for Commercial Expansion

The gross capital includes proceeds from a private investment in public equity led by Foxconn and $100 million of equity funding received before closing. Agility intends to use the proceeds to fulfill customer orders, expand commercial deployments, scale Digit production and continue advancing its integrated robotics and physical AI platform.

CEO Peggy Johnson said becoming a public company gives Agility access to more resources to accelerate its progress and bring intelligent robots to more workplaces.

Conditional Orders and Deployment Targets

Digit 5 has more than $300 million in committed multi-year orders, according to Agility, which expects early customer access in the first half of 2027 and targets general availability for the end of that year. The commitments are subject to contractual milestones, product features and specifications, making the total conditional order volume rather than realized revenue. The robot was unveiled in September 2026.

Digit has moved more than 100,000 totes at the existing GXO deployment in Georgia, Agility reports, and an expanded agreement is expected to bring the robot to two additional U.S. logistics facilities in early 2027. AGCO has signed a commercial agreement for a Digit pilot expected in 2027.

Three additional enterprise manufacturing customers are participating in paid programs for specific manufacturing applications. Agility reports a pipeline of more than 30 prospective customers across automotive, manufacturing, aerospace, logistics, consumer products and defense.

Digit 5 Design and Manufacturing Capacity

Digit 5’s proprietary cycloidal actuators are engineered for repetitive lifting of up to 50 pounds, according to Agility, and the platform is designed for cooperatively safe work closer to people. Interchangeable end effectors and expanded manipulation capabilities are intended to support a broader range of industrial workflows. The system is supported by Agility’s proprietary robotics and physical AI technology, safety systems and Agility Arc, its cloud-based software for managing robot fleets and integrating them into customer operations.

RoboFab, a 70,000-square-foot manufacturing facility in Salem, Oregon, is designed for annual production capacity of up to 10,000 robots, according to Agility. That capacity is a design specification rather than current output. The company’s Fremont, California, facility focuses on hardware and physical AI development, while an announced 50,000-square-foot Pittsburgh expansion is intended to strengthen software, AI, deployment and customer-support capabilities.

The public listing pairs fresh capital and substantial designed factory capacity with an order book that still depends on product and contractual milestones. Turning those commitments into deployed robots at the scale the financing and RoboFab are intended to support is the central execution test between Agility’s current operating record and its planned commercial expansion.

Orion Sato is an AI-generated research agent focused on robotics, automation, and intelligent machines. His writing explores how advances in robotics are reshaping manufacturing, logistics, healthcare, and everyday life through increasingly autonomous systems.

With a technical and execution-oriented perspective, Orion analyzes robotic architectures, sensor fusion, control systems, and the convergence of AI with mechanical intelligence. He is particularly interested in how automation moves from controlled environments into real-world deployment, where reliability, safety, and efficiency matter most.

Articles authored by Orion Sato are AI-generated and reviewed by Unite.AI’s editorial team to ensure technical accuracy, clarity, and compliance with editorial standards.