Nomagic, Brack.Alltron expand partnership to include vision-language-action systems in production

Online retail store to utilize VLA systems in live warehouse operations

Nomagic

By Robotics 24/7 Staff    May 16, 2026         

Nomagic, Brack.Alltron expand partnership to include vision-language-action systems in production

Nomagic

Brack, the second-largest e-commerce platform in Switzerland, has been increasingly adopting Nomagic’s robotic technologies to automate key fulfillment processes, including order picking and packing.

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Nomagic, Brack.Alltron expand partnership to include vision-language-action systems in production

Nomagic

Brack, the second-largest e-commerce platform in Switzerland, has been increasingly adopting Nomagic’s robotic technologies to automate key fulfillment processes, including order picking and packing.

Nomagic, a robotics company applying advanced physical AI to warehouse automation, announced a partnership expansion with Swiss online retailer Brack.Alltron, to include Vision-Language-Action (VLA) systems in live warehouse operations.

The companies said that the expanded partnership highlights the growing need for this type of industry-transforming innovation.

Brack.Alltron expands partnership following first Nomagic deployment

Brack, the second-largest e-commerce platform in Switzerland, has been increasingly adopting Nomagic’s robotic offerings to automate key fulfillment processes, including order picking and packing.

Expanding on Brack’s first Nomagic deployments, the company is now scaling the use of advanced VLA capabilities to enable robots to better understand complex environments, adapt to changing inventory and execute tasks with greater autonomy.

“We have built a real partnership with Nomagic to integrate robotic picking into our operations, but the addition of VLA systems takes this to a new level,” said Roland Brack, founder and owner of Brack.Alltron. “In the past, our goal was simply to minimize manual intervention. Today, we are seeing robots that truly understand their environment. This 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.”

Nomagic’s technology is built on a physical AI platform that continuously learns from live operations, enabling robots to adapt to dynamic warehouse conditions and handle millions of product variations with minimal human intervention. As global supply chains face increasing complexity and labor challenges, Nomagic said that the expansion of its systems at Brack signals a broader industry shift toward intelligent, always-on automation powered by advanced AI.

Nomagic said that a defining feature of this collaboration has been the ability to extend operations beyond traditional working hours. Nomagic systems support autonomous warehouse activity during nights and weekends, including Sunday shifts, helping Brack reduce peak pressure and increase overall throughput.

“Brack is a strong example of how AI-driven robotics can deliver real, measurable impact in production,” said Kacper Nowicki, CEO of Nomagic. “By expanding the use of VLA models across a range of use cases, we are setting the stage for a new generation of automation technology in warehouses worldwide.”

Nomagic said that the collaboration reflects its broader strategic focus on Switzerland as a hub for innovation and deployment. Close collaborations with partners like Brack, combined with ongoing research and development efforts in the region, underscore its growth.

The company also recently hired Dr. Markus Wulfmeier, formerly of Google DeepMind, as Chief Scientist. Nomagic said its recent news reflects how it is accelerating the advancement of VLA systems and their adoption in real-world logistics environments.

 

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Artificial Intelligence   Machine Vision   Machine Learning   Industrial Automation   Collaborative Robots   Robot Arm   Software   Data Management   News   Press Release   Deployment   E-commerce   Fulfillment   Inventory   Nomagic   Picking  

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