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Foundation Models Cut Robot Deployment Times From Months to Weeks Across Global Warehouses

Physical AI powered by foundation models is reducing warehouse robot deployment from months to weeks. Polish startup Nomagic's system handles 98% of shoeboxes, while Chinese manufacturers drive adoption in Saudi Arabia and beyond through lower hardware costs.

ViaNews Editorial Team

February 26, 2026

Foundation Models Cut Robot Deployment Times From Months to Weeks Across Global Warehouses
Image generated by AI for illustrative purposes. Not actual footage or photography from the reported events.
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Nomagic's Shoebox Picker handles over 98% of shoeboxes on the market. The Polish startup recently secured funding to deploy physical AI systems that adapt across warehouse environments without custom programming for each installation.

Foundation models are eliminating months of engineering work previously required for each robot deployment. Companies now train AI on data from multiple sites, enabling systems to handle edge cases without scenario-by-scenario coding.

Chinese manufacturers are accelerating global adoption by cutting hardware costs. In Saudi Arabia, Chinese robots support logistics, manufacturing, healthcare, and smart city infrastructure. "They allow local companies and government entities to experiment, pilot, and scale automation solutions in months instead of years, which is exactly what Saudi Vision 2030 requires," said Mohammed Alsolami, a regional observer.

The AGV manufacturing market is expanding as deployment barriers fall. Nuro is conducting autonomous on-road testing as robotics firms move from controlled environments to public streets. Covariant and other logistics-focused companies are deploying similar capabilities across warehouses worldwide.

Talent migration from OpenAI and Apple to robotics startups signals industry maturation. Engineers are bringing expertise in training large models and deploying AI products at scale, following investment patterns that favor physical AI over software-only solutions.

"Our vision is to bring physical AI into the heart of warehouse and logistics operations, where intelligent, autonomous systems can finally bridge the gap between digital optimization and real-world execution," said Kacper Nowicki, Nomagic's founder.

The transformation spans industrial and consumer segments, from fulfillment centers to last-mile delivery. As models improve and hardware costs drop, companies are targeting general-purpose systems rather than specialized machines. Systems that once required months of custom development now adapt within weeks.


Sources:
1 News Report, "5 Interesting Startup Deals You May Have Missed: Plant-Based Clothing Dyes, A Shoebox-Picking Robot,"
2 Yahoo Finance, "Dassault Systèmes and NVIDIA Partner to Build Industrial AI Platform Powering Virtual Twins" (February 03, 2026)
3 Globe Newswire, "Global Times 2025 Yearender: China shares opportunities, growth dividends as an empowering country" (December 27, 2025)
4 Yahoo Finance, "Lucid, Nuro, and Uber Unveil Global Robotaxi at CES, Announce Autonomous On-Road Testing" (January 05, 2026)
5 Globe Newswire, "$9.8 Billion in Autonomy Spending Hits the AI-Boosted Defense Supply Chain" (February 13, 2026)