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Agility Robotics Clears SPAC Vote as Humanoid Factories Move From Demos to Deployments

Churchill Capital XI shareholders approved the SPAC merger with Agility Robotics on 2 November, with more than 84% of votes cast backing the deal, according to The Robot Report. The combined company is expected to list on Nasdaq as AGLT on 5 November.

TechnologyAnalysisRachel NwosuPublished: 3 November 20264 min readSources 9
Agility Robotics Clears SPAC Vote as Humanoid Factories Move From Demos to Deployments
Churchill Capital XI shareholders approved the SPAC merger with Agility Robotics on 2 November, with more than

Agility Robotics is one step from the public markets. The SPAC vote on 2 November, reported by The Robot Report, clears the way for a listing on 5 November under the ticker AGLT.

The deal values Agility at a $2.5 billion pre-money equity value and is expected to bring in roughly $465 million gross before expenses. That figure is smaller than the $620 million the companies expected when the merger was announced in June. The Robot Report said the revision reflects $164 million from Churchill's trust account, $201 million from a PIPE led by Foxconn, and $100 million in equity funding Agility raised after the initial announcement. The Robot Report had already flagged the reduced figure on 30 October. The pitch to investors, in other words, has been trimmed before the ticker even exists.

What is already running

Agility's argument to investors rests on installed work, not a roadmap. The Robot Report says Digit robots are operating in 9 customer environments, with logistics and manufacturing as the main commercial markets.

The longest running relationship is with GXO Logistics, which began working with Agility in 2023 and signed a multi-year Robots-as-a-Service agreement in 2024 for a facility in Flowery Branch, Ga., where Digit moves totes onto conveyors. In October the two companies announced an expansion to GXO sites in Statesville, N.C., and Lebanon, Tenn. The Robot Report says deployments there are expected to begin in early 2027 using Digit 4, with a later transition to Digit 5. Separately, agricultural equipment maker AGCO signed a commercial agreement in October to pilot Digit at its Hesston, Kan., plant from 2027, starting with sorting and stacking parts.

Agility has previously claimed it has more than $300 million in committed multi-year orders for Digit 5, its next-generation humanoid unveiled in September.

The Robot Report cautions that the order figure is not revenue: the multi-year value is realized over time and remains subject to contractual milestones, product features and specifications. Early access for Digit 5 is expected in the first half of 2027, with general availability targeted for the end of that year.

The wider factory push

Agility is not alone in moving from demonstration videos to shop floors. Xpeng, the Chinese electric vehicle maker, said on 28 October that solid-state batteries for its Iron humanoid had entered small-batch production, according to CnEVPost, which cited remarks by vice president Gu Jie. The robot itself is still pre-production.

Xpeng plans mass production by the end of 2026 and commercial deployment in stores from 2027, but CnEVPost notes the disclosure did not say whether the cells are the all-solid-state technology announced in November 2025. Elsewhere the factory theme runs through smaller players and standards bodies alike. Paris-based Bleu Robotics raised a €5 million pre-seed round led by Contrarian Ventures and OVNI Capital, Sifted reported on 29 October, on a promise to cut humanoid deployment time in factories from months to less than an hour. On 2 November, The Robot Report said Tutor Intelligence raised $75 million in Series B funding led by Andreessen Horowitz, with plans for more than 1,000 robots under contract by the end of 2027.

On the same day, the Association for Advancing Automation published ISO 21423:2026, a standard for communications among industrial mobile robots from different vendors. The Robot Report quoted Carole Franklin, A3's director of standards development, saying companies want to pick robots that fit their applications and have them work together on the same floor. The document costs $373, or $320 for A3 members.

The consumer gap

For all the factory momentum, the home market looks thin. heise online reported on 3 November that the RoboterAtlas database listed 49 humanoid robots from 41 companies as of the end of October 2026, of which 26 came from China, ten from the US and three from Germany. Only 16 of the listed models target private households; 28 are aimed at businesses and 18 at research and education.

Apple, meanwhile, is taking the narrow path. Ars Technica reported on 2 November, citing The Information, that a home robot code-named J595 could launch by 2027 at $1,000 or more, with delays possibly pushing it to 2028. The reported features are FaceTime calls and switching lights on. One source described a team of about 10 "true roboticists" against roughly 300 on the software side.

The gap between those two stories is the story. Factory deployments have customers, contracts and now a public listing; the home robot has a price tag and a codename. Agility's $465 million, if it closes as expected, will be spent on the side of the market where the totes already move.

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Sources

9
  1. 01Churchill Capital XI shareholders approve $2.5B Agility Robotics humanoid SPACEN
  2. 02Humanoid developer Agility now expects to raise $465M in SPAC dealEN
  3. 03Solid-state batteries for Xpeng's Iron humanoid robot enter small-batch productionEN
  4. 04The French robotics startup promising to deploy industrial humanoids after just 20 minutes of trainingEN
  5. 05Tutor Intelligence raises Series B to scale model training, robot deploymentsEN
  6. 06New ISO interoperability standard covers collaboration among mobile robots from multiple vendorsEN
  7. 07Humanoide Roboter: Welche sind in Deutschland erhältlich und was kosten sie?DE
  8. 08Coming in 2027: Apple's $1,000 home robot for FaceTime and switching on lightsEN
  9. 09Top 10 robotics developments of October 2026EN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Rachel Nwosu

Rachel Nwosu

AI, models and technology

Rachel Nwosu covers AI, models and technology for FLASH24, working from public model documentation, benchmark releases and repository histories rather than press summaries, and she skips announcements that arrive without reproducible numbers. She checks training-data claims against dataset cards and reruns reported metrics where code is available. She spends much of her week interviewing researchers and engineers, tracking model launch calendars, and comparing vendor benchmarks with independent evaluations. Outside the desk she runs 3D printers, restores old computers, and tests how models learn from internet junk. She does not publish benchmark figures she cannot trace to a source.

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