{"id":2984,"date":"2026-07-08T07:11:01","date_gmt":"2026-07-08T07:11:01","guid":{"rendered":"https:\/\/crosscountrymovingteams.com\/?p=2984"},"modified":"2026-07-08T07:11:01","modified_gmt":"2026-07-08T07:11:01","slug":"nomagics-new-ai-lab-headed-by-former-google-deepmind-researcher-claims-success-in-early-deployment-of-ai-brain-for-warehouse-robots","status":"publish","type":"post","link":"https:\/\/crosscountrymovingteams.com\/?p=2984","title":{"rendered":"Nomagic\u2019s new AI lab headed by former Google DeepMind researcher claims success in early deployment of \u2018AI brain\u2019 for warehouse robots"},"content":{"rendered":"<div>\n<p>Nomagic\u2019s first VLA deployment is with Brack.Alltron, Switzerland\u2019s second-largest e-commerce platform, which has been using robots from Nomagic to automate order picking and packing in its warehouses. Roland Brack, the company\u2019s founder and owner, said the addition of Nomagic\u2019s VLA systems marked a step change.<\/p>\n<p>Read more <a href=\"https:\/\/crosscountrymovingteams.com\/?p=2982\">Tech used to be a mecca for young talent\u2014now, AI start-ups are hiring fewer entry-level talent in favor of older workers with top degrees<\/a><\/p>\n<p>\u201cIn the past, our goal was simply to minimize manual intervention. Today, we are seeing robots that truly understand their environment,\u201d he said. \u201cThis intelligence allows us to run autonomous shifts through nights and Sundays, ensuring we stay ahead of peak demand without increasing the pressure on our human workforce.\u201d<\/p>\n<div>\n<div>\n<div><\/div>\n<\/div>\n<\/div>\n<p>Nomagic\u2019s concedes though that its VLA system is not perfect, even at the specific box picking tasks the company is targeting. \u201cOur VLAs aren\u2019t at 99.9% success on their own yet \u2014 no one\u2019s customer-deployed VLAs are there yet,\u201d the company said. But it says it has created a system around the VLA: Nomagic\u2019s older \u201cclassical\u201d robotics software acts as a \u201charness,\u201d catching errors and enforcing safety, so the entire system can be trusted in a customer\u2019s warehouses.<\/p>\n<p>\u201cThe bar in the physical world is high: 99.9% [reliability] isn\u2019t a marketing number, it\u2019s the cost of being allowed in the building,\u201d Kacper Nowicki, Nomagic\u2019s cofounder and CEO, said. \u201cSo we built a harness that clears it from day one, while the AI inside keeps getting better.\u201d Over time, both Nowicki and Wulfmeier said they expect stronger models to gradually make parts of that harness unnecessary, just as has begun to happen with digital AI.<\/p>\n<p>Nomagic recently won the 2026 International Intralogistics and Forklift Truck of the Year (IFOY) Award for Shoebox Picker, which goes to the company whose sorting and picking device can master a notoriously difficult challenge in warehouse automation: handling two-piece shoeboxes without the lids falling off.<\/p>\n<p>A former core member of the Gemini Robotics team at DeepMind, Wulfmeier frames Nomagic\u2019s approach as a deliberate contrast with the prevailing strategy of competing embodied AI labs.<\/p>\n<p>Read more <a href=\"https:\/\/crosscountrymovingteams.com\/?p=2980\">What is covered by home insurance? What\u2019s included and common exclusions explained<\/a><\/p>\n<div>\n<div><\/div>\n<\/div>\n<p>\u201cMost of our community is racing to build the most general robot brain,\u201d he told <em>Fortune<\/em>. \u201cWe\u2019re betting that the harder part is actual mastery and that it has to be earned in real deployments first.\u201d<\/p>\n<p>Wulfmeier said that the physical world is dominated by a very long tail of rare situations. This is the same problem that has caused the roll-out of autonomous vehicles to be much slower than many anticipated a decade ago. The AI models running those vehicles have to be trained for an endless array of edge cases.<\/p>\n<div>\n<div>\n<div><\/div>\n<\/div>\n<\/div>\n<p>Today, most companies working on the AI models for robotics train either in simulation and then transfer those skills to real world settings (which roboticists call \u201csim-to-real\u201d training), or by having humans initially operate the robots by remote control, creating examples that the robot learns to imitate. Some combination of those two methods can get an AI model to 80% performance accuracy on a fairly wide array of tasks, Wulfmeier said. But, working in a real warehouse, 80% is basically useless, he said. If a robot needs a human to step in even once an hour, the economics of automation often collapse.<\/p>\n<p>Wulfmeier did extensive \u201csim-to-real\u201d work at DeepMind and said he still believes in simulation and uses it in parts of Nomagic\u2019s own pipeline. But he said he doubts either simulation or human teleoperation can economically close the remaining gap to the level of reliability the physical world demands.<\/p>\n<div>\n<div><\/div>\n<\/div>\n<p>Nomagic said that one major advantage it has over pure research labs is that it is able to gather tons of real world data from the fleet of robots the company already has deployed with customers. That existing fleet generates millions of successful package picks every month (two million with the fashion platform Zalando alone, the company says), and that stream grows as more robots are deployed. Rather than relying primarily on teleoperation or simulated environments, Nomagic trains its VLAs on this deployment data, which Wulfmeier describes as unusually rich and diverse.<\/p>\n<div>\n<div><\/div>\n<\/div>\n<div>\n<div><\/div>\n<\/div>\n<p>Tristan d\u2019Orgeval, Nomagic\u2019s co-founder and chief strategy officer, said deploying robots to the real world first is a key differentiator between Nomagic and competing companies building AI systems for robots. \u201cWe didn\u2019t build a lab and then go hunting for a problem,\u201d he said. \u201cWe started in real operations, with customers who need our robot, and capable AI emerges out of that. The order matters \u2014 it\u2019s what separates a demo from a business.\u201d\u00a0<\/p>\n<p>Read more <a href=\"https:\/\/crosscountrymovingteams.com\/?p=2978\">He went from working in a factory to being rich enough to retire at 32\u2014but 3 decades later, this millionaire still works and takes public transport<\/a><\/p>\n<div>\n<div><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Nomagic says the company&#8217;s new &#8216;vision-language-action&#8217; model cut robot errors requiring human intervention in half at logistics customers.<\/p>\n","protected":false},"author":1,"featured_media":2983,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[197],"tags":[],"class_list":["post-2984","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-robots"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Nomagic\u2019s new AI lab headed by former Google DeepMind researcher claims success in early deployment of \u2018AI brain\u2019 for warehouse robots - Cross Country Moving Team<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/crosscountrymovingteams.com\/?p=2984\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nomagic\u2019s new AI lab headed by former Google DeepMind researcher claims success in early deployment of \u2018AI brain\u2019 for warehouse robots - Cross Country Moving Team\" \/>\n<meta property=\"og:description\" content=\"Nomagic says the company&#039;s new &#039;vision-language-action&#039; model cut robot errors requiring human intervention in half at logistics customers.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/crosscountrymovingteams.com\/?p=2984\" \/>\n<meta property=\"og:site_name\" content=\"Cross Country Moving Team\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-08T07:11:01+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/?p=2984#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/?p=2984\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/#\\\/schema\\\/person\\\/1b8121bfb9a1c55d1fff3fca675fceaa\"},\"headline\":\"Nomagic\u2019s new AI lab headed by former Google DeepMind researcher claims success in early deployment of \u2018AI brain\u2019 for warehouse robots\",\"datePublished\":\"2026-07-08T07:11:01+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/?p=2984\"},\"wordCount\":834,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/?p=2984#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/f50a4cb95bb5440fe13965a5d3a09a13.webp\",\"articleSection\":[\"Robots\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/crosscountrymovingteams.com\\\/?p=2984#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/?p=2984\",\"url\":\"https:\\\/\\\/crosscountrymovingteams.com\\\/?p=2984\",\"name\":\"Nomagic\u2019s new AI lab headed by former Google DeepMind researcher claims success in early deployment of \u2018AI brain\u2019 for warehouse robots - 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