Gothenburg-headquartered Rebl Industries has signed significant framework agreements with global fashion and design companies H&M and IKEA for next-generation robots-as-a-service (RaaS) solutions.

The AI-powered  robots have been successfully used in real production environments for years and are designed to automate tasks such as sorting and palletising, to relieve warehouse staff from repetitive and physically demanding work. They are deployed as a performance-based service, without requiring a large upfront investment in an approach challenging traditional automation models. The unique advantage is that customers pay for the work performed rather than the hardware itself.

Since the summer of 2024, H&M has been using Rebl’s robots at its Nordics online sales warehouse in Sweden where a combination of process-supporting technology and teamwork has produced positive results by enhancing production predictability and efficiency. Expansion to further locations is now planned.

To accelerate its global expansion, Rebl has appointed Nicholas Tengelin – a seasoned executive from the automotive industry having held senior leadership roles at Volvo Cars, Hedin Mobility Group and Hogia – as its first external CEO. His mandate is to rapidly scale and industrialise Rebl’s position as the global leader in next-generation robotics.

“We’re excited to partner with international companies like H&M and IKEA,” he says. “Our AI-powered robots quickly step into warehouse operations, supporting an increase in overall efficiency. This game-changing technology opens new automation possibilities for sectors previously unable to leverage robotics.”

The robots, equipped with proprietary software, AI and advanced sensors, can identify, pick, move and load unsorted goods of varying sizes and packaging in real time. They feature an intuitive interface for human interaction and are part of a neural network that enables shared learning, continuously improving their performance. These capabilities remain rare in traditional automation but have been proven in Rebl’s real-world deployments over several years.

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