Agility Robotics goes public at $2.5B while Figure AI sits at $39B

Agility Robotics, the Salem, Oregon maker of the bipedal Digit robot, has announced a SPAC merger that values the company at roughly $2.5 billion, making it one of the first humanoid robotics companies to reach public markets. The number looks small only until you compare what Agility brings to the table versus the private-market darlings priced far above it.

How does Agility's valuation stack up against the rest of the sector?

The contrast is stark. Figure AI closed a $1 billion Series C last fall at a $39 billion valuation. Apptronik raised $935 million earlier this year at more than $5.5 billion. Chinese firm AI2 Robotics pulled in roughly $735 million at nearly $3 billion in late June, alongside a parallel round for X Square Robots. Against that field, Agility's $2.5 billion looks almost conservative.

What separates Agility is the revenue underneath the number. The company has substantial booked, multi-year contracts under a robots-as-a-service model, with customers in logistics and manufacturing. That is a different foundation from the demo-driven narratives that have supported much of the sector's private fundraising. One two-year-old robotics startup, reported previously, was valued above $14 billion on roughly $30 million in revenue. Agility has ten years of deployment history.

Public markets will now price humanoid robotics against booked revenue and safety certifications rather than demo footage, and that is a different game from the one being played in private rounds.

Why does the SPAC route make sense here?

SPACs carry a poor reputation after the wave of failed listings in 2021, so the choice requires justification. The core argument is about timing and access. Being among the first humanoid robotics companies on public markets creates a scarcity position for retail investors who have no other way into the sector. Private rounds in humanoid robotics have been closed to most outside capital, so a public listing opens a door that has been shut.

The proceeds are earmarked for two things: scaling production at Agility's Salem manufacturing facility and fulfilling the existing customer pipeline. That is a capital deployment story tied to real orders, not a speculative build-out ahead of demand.

What is the safety argument that competitors rarely discuss?

Agility's leadership has been pointed about the gap between polished demonstrations and actual industrial deployment. Tesla's Optimus units were remotely operated at its Cybercab event in 2024. Figure AI faced a lawsuit in November from its former head of product safety, who alleged he was dismissed after raising concerns that its robots were powerful enough to fracture a human skull. Figure has disputed those claims.

The regulatory point Agility makes is structural: industrial safety certification requires that a robot's electrical system, components, and software all be certified together from the start. Building the machine first and then trying to make it safe is effectively a redesign. That work never appears in a demo reel, but it determines whether a robot can legally operate on a warehouse floor alongside human workers.

On the question of home deployment, Agility's CEO put the timeline at more than ten years out. Warehouses offer fixed aisles, predictable workflows, and controlled safety perimeters. Homes do not. The comparison drawn was to autonomous vehicles: even roads have discipline, and most environments humanoids will eventually need to navigate are far less structured than a fulfillment center.

What does this mean for the humanoid robotics industry going forward?

The SPAC filing will force a disclosure that most competitors have avoided: actual unit economics. Public markets require numbers that private rounds do not. Investors will be able to compare Agility's per-robot costs, contract values, and deployment timelines against the sector's broader claims for the first time.

That transparency creates pressure on rivals. If Agility's public financials show a viable path to profitability at $2.5 billion, the question of what justifies $39 billion becomes harder to deflect. The industrial-first thesis, pursued by Agility in the US and by AI2 Robotics and X Square Robots in China, is built on labor shortages in warehousing and manufacturing that create measurable, near-term demand. That is the bet being tested when Agility starts trading.