Neolithics' Crystal.eye™:

Revolutionizing food waste reduction with AI quality control inspection

Israeli startup Neolithics is has used Artificial Intelligence software algorithms to develop "Crystal.eye," a software application that helps address the issue of discarded produce.

Neolithics Crystal.eye

Global food waste landscape
Recent data highlights that a significant proportion, estimated at 40% to 50%, of fruits and vegetables cultivated worldwide are discarded. This extensive loss of edible resources emphasizes the pressing need for innovative strategies to alleviate this critical challenge.

"Our core aspiration revolves around restraining needless wastage and loss of fresh produce within the supply chain, aligning with their vision of a more sustainable future and more efficient use of resources," says Wayne Nathanson, VP of Global Development for Neolithics.

Neolithics Crystal.eye mobile

The power of the solution
Crystal.eye is a solution combining AI software with a hardware setup, enabling deployment for a wide range of companies in the supply chain. "By harnessing remote sensing and real-time quality control, Crystal.eye transcends traditional sampling methods. This technology goes beyond human capabilities by detecting nuanced attributes, such as pesticide residues invisible to the human eye", the team adds.

Avocado Firmness Heatmap from Neolithics dashboard

"The true potency of Crystal.eye lies in its predictive prowess—foreseeing shelf life and potential spoilage even at the nascent stages of the food chain. This predictive insight offers invaluable information for stakeholders, ensuring produce finds its most suitable purpose. For instance, Crystal.eye can differentiate between tomatoes destined for supermarket aisles and those best suited for processed goods like sauce or ketchup," explains Nathanson.

Unlocking new horizons
Crystal.eye's can analyze most types of produce for different reasons, depending on the business needs. "In fact, global produce companies will use Crystal.eye to check quality parameters at different points in their internal supply chains as they move their produce around the world toward their consumers," states Nathanson.

The Neolithics team

A glimpse into tomorrow
"Envision optimizing tomatoes' use for an exact purpose by measuring sugar content, acidity, or firmness in real-time and without any damage or destruction. Picture having the insight to predict the peak ripeness of avocados and to be able to sort them by ripening time in advance" concludes Nathanson.

For more information:
Wayne Nathanson
Tel.: +972 58 536 0755

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