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Sorting potatoes with AI

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Karevo has developed an AI-powered optical recognition system capable of sorting potatoes at a rate of up to 10 tons per hour with 95% accuracy. The technology was created by a founder who transitioned from working on a potato farm to studying at the Technical University of Munich before establishing his own startup. The system uses artificial intelligence to automate the potato sorting process.


This technology has potential to significantly improve efficiency in agricultural processing and food production by automating labor-intensive sorting tasks. The high throughput rate and accuracy could reduce waste and operational costs in the potato industry while addressing labor shortages in agricultural sectors.


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Karevo’s AI-powered optical recognition system can sort up to 10 tons of potatoes per hour with 95% accuracy. The founder’s journey took him from a potato farm to the Technical University of Munich (TUM) and ultimately to his own startup.

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