Rubens is the big data-driven quality and provenance intelligence system for the fresh food supply chain.
With a unique combination of sensors and analytics, Rubens ensures product quality along the value chain and product-specific traceability all the way to the consumer.
Rubens helps increasing industry profitability by boosting product quality and consistency, and by ensuring its traceability along the value chain.
Multi-Spectral Sensor & Data Capture
Based on the unique light emission of crops and food items, we collect a ‘molecular fingerprint’ of the product itself, not its label or a barcode.
In real time.
Machine Learning Engine
The beating heart of Rubens. Our proprietary machine learning algorithms are optimised for spectral data and the peculiar characteristics of each crop or food. Our models provide prediction of commercial quality parameters such as maturity of fruits or provenance of food enabling optimal handling of the product.
Quality and Confidence
Our quality-based metrics, integrated into complex supply chain systems, provide data points to reduce the information risk and allow for milestone-based payment release in complex import-export controls. Reduce waste, increase consumer confidence and allow for realignment of incentives in the value chain.