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Agility Robotics Goes Public and Puts a Price on Humanoid Labor

Agility Robotics begins trading as the first pure-play humanoid robot company, disclosing per-robot costs, rental pricing and a $465M raise.

Stefan Trbojevic

Stefan Trbojevic

5 November 20263 min read
LinkedIn
Dark warehouse corridor with amber-lit storage bays

The takeaway

Agility's filing turns humanoid robotics into a deployment business measured in uptime, throughput and monthly invoices rather than demo footage.

Why it matters for builders

Humanoid robotics is now priced like SaaS: monthly per-robot fees, deployment charges and contractual performance milestones. Every contract is gated on throughput, uptime and placement accuracy, which are software and model problems. Teams should benchmark embodied AI the way they benchmark agent deployments - value per hour of reliable operation.

Agility Robotics Goes Public and Puts a Price on Humanoid Labor

Humanoid robots have spent years as demos and promises. On November 5, one of them became a line item on the Nasdaq. Agility Robotics, the Oregon company behind the Digit warehouse robot, started trading after completing a SPAC merger that raised about $465 million in new capital, according to TechCrunch. It is the first pure-play humanoid robotics company listed in the United States, and its filings hand the industry something it has never had: real prices.

What happened

Agility is not the flashiest competitor in the category. While Figure, Tesla and Boston Dynamics publish dancing clips, Digit has been doing repetitive manual work at GXO warehouses, a Schaeffler factory in South Carolina, Toyota Motor Manufacturing Canada and Mercado Libre. Nine customers are live today, and Agility says it holds $300 million in planned contracts for Digit 5, the generation that can work safely around people instead of inside a fenced cell.

The numbers behind those contracts are the interesting part, as Ars Technica reported from the S-4 registration statement. Under robots-as-a-service, a customer pays roughly $25,000 per robot for delivery and deployment, then $8,500 a month for software and maintenance. Buying outright costs $200,000 for the hardware plus $20,000 to deploy, with a $36,000 annual software subscription on top.

Abstract render of a translucent robot payload casing with internal glow

The unit economics are the story

Agility's own cost side is disclosed too. It estimates $150,000 per Digit 5 in bill-of-materials cost today, falling to $75,000 at 1,000 units a year and $30,000 at 10,000 units. Operating each robot runs $15,000 a year, deployment another $15,000, and the company assumes a five-year service life. Its pitch to CFOs: replace $200,000 of annual labor with $100,000 of annual robot cost, or, on a five-year purchase, replace $1.1 million in labor with roughly $400,000 in robotics.

The reality check sits next to the pitch. Agility booked $174,000 in revenue in the first half of 2026 and lost $362 million in the same period, and the filing states plainly that losses will continue for the foreseeable future. For scale, 2025 revenue was $1.8 million against a $140 million operating loss.

Why it matters for builders

The listing turns humanoid robotics from a research narrative into a deployment problem with a public spreadsheet. Three things follow. First, the purchasing pattern looks like SaaS, not capital equipment: monthly fees, deployment charges, contractual performance milestones. Second, every Digit 5 contract is gated on throughput, uptime and placement accuracy, which are software and model problems, not mechanical ones. Third, quarterly public reporting will pressure the whole physical-AI sector to show utilization instead of choreography.

For teams building automation, the useful takeaway is that embodied AI is now being priced in monthly invoices. The robot is the endpoint; the measurable value is uptime and payload moved per hour. That is the same metric logic that decides whether an agent deployment survives its first quarter.

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Editorial notes

Reported by

Stefan Trbojevic

Edited by

n8n Lab Editorial

Published

5 November 2026

Updated

5 November 2026

AI disclosure: AI assisted with research and drafting. Factual claims are reviewed by an editor.

n8n Lab is an independent service provider. We are not affiliated with, endorsed by, or sponsored by n8n GmbH. “n8n” is a trademark of n8n GmbH and is used here only to describe the platform-specific implementation and automation services we provide.