Sereact is building vision-language-action models into warehouse robot picking
Sereact’s January 2025 Series A supports vision-language-action models and PICKGPT for warehouse robotic picking.
Sereact said on January 20, 2025 that it raised €25 million in Series A funding. Creandum led the round alongside Point Nine and Air Street Capital, and the company named Daimler Truck, Bol, MS Direct, and Active Ants as customers.
Sereact’s vision-language-action models combine perception, instructions and robot control to handle changing SKUs, packaging and bins without fixed programming for every item.
Sereact describes VLAMs as hardware-agnostic models for robots in warehousing and logistics. PICKGPT adds a natural-language interface for robot tasks, so operators can instruct the system without building a new automation sequence for every exception.
Sereact was founded in Stuttgart by Ralf Gulde and Marc Tuscher. It develops perception and control software for warehouse picking.
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