Almost a year ago to the day, Figure AI CEO Brett Adcock responded to some gentle social media taunting from rival robotics company Agility with a prediction: \u201cYou\u2019ll be bankrupt in <12 months.\u201d<\/p>\n
Instead, Agility is going public through a reverse merger that will see it become a publicly traded company and raise $465 million in new capital from retail investors and a tranche of private funding. The transaction will take place through a special purpose acquisition company, or SPAC.<\/p>\n
\u201cYou don\u2019t see a lot of dancing robots or backflipping robots from Agility,\u201d CEO Peggy Johnson told TechCrunch ahead of the company\u2019s market debut. \u201cWe stuck to our strategy, which [are] these manual, very repetitive jobs, that it\u2019s hard to find humans to do.\u201d<\/p>\n
Agility predates the recent boom in physical AI investment. The company was spun out of Oregon State University in 2015 by a group of researchers who made headway in figuring out how to get a robot to walk safely on two legs. The company has focused on deploying a handful of its Digit robots in industrial settings with nine different customers, including Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre. Digits are generally used to move heavy totes, including more than 100,000 of them at a GXO logistics facility.<\/p>\n
Compared to humanoid robots built by Figure, Tesla, 1X, or Boston Dynamics, Agility\u2019s Digit can seem plodding, but the robot is actually doing real work, and earning money \u2014 albeit just $174,000 in the first six months of 2026, and mostly from related parties. The company lost $362 million in the same time period, which means the clock is ticking for it to successfully deploy its infusion of new capital.<\/p>\n
The good news is that Agility has $300 million in planned contracts from 30 customers for its new generation of robot, Digit 5. The new model can safely operate around humans, not just in an isolated work cell like its previous model (and indeed most humanoid robots). That deal was \u201cone of the driving factors\u201d behind the decision to take the company public, Johnson said, but could not yet reveal who the customers were or say if they are investors.<\/p>\n
To close the deals, Johnson said that Digit 5 will have to hit undisclosed targets along several metrics, including throughput, uptime, and accuracy of placement. The company has yet to show off the prototypes of Digit 5, but Johnson said they will be demonstrated at CES 2027 and will be widely available at the end of that year.<\/p>\n
Agility\u2019s pitch is that a robot can save $100,000 a year for companies under a robot-as-a-service model and even more if the customer purchases the robot outright. Whether those unit economics work out in the end will depend on Digit 5\u2019s capabilities, both in terms of task accuracy and how long it can work without pauses for recharging or maintenance.<\/p>\n
Johnson gave the example of a single person lifting a 50-pound object \u2014 an informal threshold some workplaces use to avoid injury. \u201cDigit can do that over and over and over,\u201d she said. \u201cYou don\u2019t want to give a human that job. You want to give that to the robot.\u201d<\/p>\n
Agility faces two key questions: How quickly can it find new customers for Digit 5, and how quickly can it improve on the robot\u2019s capabilities? Prospective customers need to spend $500,000 for Agility to do an on-site proof of concept before a deployment is fully scaled up; there were four customers signed up in May 2026. And while Digit can pick up heavy loads and place them with 98% accuracy, it still \u2014 like most of today\u2019s robots \u2014 lacks the ability to do complex manipulation tasks.<\/p>\n
It\u2019s still not clear how quickly generative AI techniques will unlock the kind of dexterity that could allow robots to handle a wide variety of items. Training systems based on video and teleoperation data have not led to reliable general autonomy, though adapting the transformer architecture to different modalities appears promising to physical AI researchers.<\/p>\n
\u201cThere\u2019s no internet of physical data of robot movements, and that\u2019s why you see so many people trying to simulate the data using a variety of things, and we use all of those techniques as well,\u201d Johnson said. \u201cThey have their pros and cons, but we also have\u00a0\u2026 65,000 hours of real operational data from real customers in real facilities\u00a0\u2026 that helps us accelerate the training of Digit.\u201d<\/p>\n
Johnson said the capital raised in the SPAC transaction would meet the company\u2019s current needs but wouldn\u2019t project that it would be sufficient for the company to be self-sustaining. She wouldn\u2019t share production targets for Digit 5, but the company has said its production facility could produce 10,000 of the robots annually.<\/p>\n
\u201cWhat you\u2019ll see from us going forward is continuing to listen to our customers, understanding what they need in these facilities,\u201d she said. \u201cWe\u2019re taking our cue from them because we\u2019re building a business.\u201d <\/p>\n
For all the open questions, Agility still finds itself further ahead of most humanoid builders by dint of simply putting its product in the field. <\/p>\n
\u201cLet\u2019s start with the bins and the totes, and then let\u2019s do the picking and the kitting,\u201d co-founder and chief robot officer Jonathan Hurst told TechCrunch at the opening of the company\u2019s Fremont R&D facility this summer. \u201cAnd then let\u2019s like start working on cardboard, which is really hard, and loading and unloading tractor trailers and things like that. Okay, now we\u2019re at 100 million robots, you know? A trillion-dollar company.\u201d<\/p>\n
Correction: This story originally misidentified the CEO of Figure AI; the CEO is Brett Adcock.<\/em><\/p>\n<\/div>\n [analyse_source url=”https:\/\/techcrunch.com\/2026\/11\/05\/agility-is-the-first-pure-humanoid-robot-company-on-the-stock-market-are-you-buying\/”]<\/p>\n","protected":false},"excerpt":{"rendered":" [analyse_image type=”featured” src=”https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/11\/Agility_Digit5_01.png?resize=900,1200″] Almost a year ago to the day, Figure AI CEO Brett Adcock responded to some gentle social media taunting from rival robotics company Agility with a prediction: \u201cYou\u2019ll be bankrupt in <12 months.\u201d Instead, Agility is going public through a reverse merger that will see it become a publicly traded company and […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[226,62],"class_list":["post-2241064","post","type-post","status-publish","format-standard","hentry","category-politics","tag-crawlmanager","tag-techcrunch-com"],"_links":{"self":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/posts\/2241064","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2241064"}],"version-history":[{"count":0,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/posts\/2241064\/revisions"}],"wp:attachment":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2241064"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2241064"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2241064"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}