Rubens Technologies provides an AI-driven, multi-spectral sensing platform for the fresh food supply chain, enabling real-time quality prediction, harvest timing optimization, and product provenance verification to reduce waste and increase profit.
Rubens Technologies provides a big data-driven quality and provenance intelligence system designed for the fresh food supply chain. The company has developed a solution that integrates specialized hardware—a handheld multi-spectral scanner—with proprietary machine learning algorithms. This technology captures the molecular fingerprint of crops and food items, such as apples, stone fruits, and avocados, providing real-time data on maturity and quality parameters. By analyzing spectral data through a mobile application and cloud-based dashboard, the system enables users to assess produce without damage, moving beyond traditional barcode or label-based tracking to link products to their actual characteristics.
This technology helps growers, packers, and supply chain managers reduce waste, optimize harvest timing, and ensure food authenticity across global markets. By providing predictive insights into product state, Rubens Technologies assists industry players in achieving greater consistency, improving profitability, and managing import-export controls more effectively. Founded in 2018 and headquartered in Melbourne, Australia, the company has collaborated with various agricultural organizations and research entities to refine its models and has deployed its systems across multiple continents. Its work addresses significant industry challenges, including supply chain transparency and the reduction of food waste.