The Decade of the Humanoid: Agility Robotics Secures $10 Billion
Dillip Chowdary
March 31, 2026 • 10 min read
Humanoid robotics leader Agility Robotics has closed a historic $10 billion Series E round, valuing the company at $45 billion as it prepares to mass-produce its 'Digit' agents for global logistics.
The "embodied AI" revolution just received its largest capital injection to date. Agility Robotics, the makers of the bipedal robot Digit, announced today that they have secured $10 billion in funding from a consortium led by Amazon's Industrial Innovation Fund and several sovereign wealth funds.
Scaling to 100,000 Units: RoboFab expansion
The primary use of the capital is the expansion of "RoboFab," Agility's mass-production facility in Salem, Oregon. The company aims to ramp production from 10,000 units per year to over 100,000 units by 2028. This scale is necessary to meet the demand from early adopters like Amazon and FedEx, who are looking to humanoid agents to solve labor shortages in repetitive sorting and moving tasks.
Digit v4: Full LLM Integration
Along with the funding, Agility teased the upcoming Digit v4 hardware. The new model will feature an integrated NPU (reportedly utilizing a custom version of Apple's M-series silicon) capable of running multimodal LLMs locally. This allows Digit to understand complex verbal instructions and navigate unmapped warehouse environments with zero-shot generalization.
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The Human-Centric Warehouse
Agility emphasizes that Digit is designed to work *with* humans in environments built *for* humans. By maintaining a bipedal form factor and human-like reach, Digit can use existing stairs, elevators, and narrow aisles without requiring the massive infrastructure retrofits needed for traditional wheeled AGVs.
Conclusion
The $10 billion Series E is a validation of the humanoid form factor as the future of general-purpose robotics. As Agility scales, the cost per hour for a Digit agent is expected to drop below $5, potentially disrupting the global logistics labor market and forcing a re-evaluation of human-robot synergy in the workplace.