FoodProX exists to make the degree of food processing visible, understandable, and actionable—so people can make better choices without needing a nutrition degree or hours of label reading.
Modern food labels tell you calories, macros, and ingredients, but they rarely make clear how industrially processed a product is. FoodProX closes that gap by translating label information into a clear processing score and simple guidance.
FoodProX is an AI-powered system that helps users evaluate packaged foods by reading:
In seconds, FoodProX produces a processing assessment and (when available) suggests alternatives that are less processed.
FoodProX is built on peer-reviewed research demonstrating that machine learning can predict food processing at scale and quantify how diets shift toward ultra-processed foods—supporting healthier substitution strategies. We are committed to transparency, scientific rigor, and continuous validation as the product evolves.
Food processing is increasingly recognized as a major driver of diet quality and metabolic health. Yet for consumers, clinicians, researchers, and retailers, processing is still difficult to compare across products and markets. FoodProX helps by turning complex label data into a consistent, scalable metric that can be used in everyday decisions and larger population-level analyses.
Scientific integrity — We prioritize peer-reviewed evidence and reproducible methods.
Transparency — We aim to explain results clearly, including uncertainty when relevant.
Consumer empowerment — We help people make decisions, not dictate them.
Privacy by design — We minimize data collection and build for user control.
Global usefulness — We are building for multilingual labels and international food systems.
FoodProX is designed to support multiple stakeholders:
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