Understand what is inside a product before you compare it.

Nutrition

Nutritional quality

Anchored in Nutri-Score and nutriments when available, then refined with fallback heuristics.

• Sugar, salt, saturated fat, fiber, protein, and energy all matter
• Weak nutrition evidence lowers confidence rather than being hidden

Formulation

Processing and formulation complexity

NOVA remains the anchor for processing, while formulation complexity stays clearly labeled as a heuristic signal.

• Additives and ultra-processed markers matter
• Long ingredient lists are handled cautiously, not moralistically

Trust

Labels, environment, and confidence

The app separates what the label contains, what environmental evidence exists, and how much you should trust the record itself.

• Eco evidence stays indicative, not absolute
• Confidence warns when source data is sparse or inconsistent

Clearer decisions

Compare products on the dimensions that matter

Search results and comparison surfaces revolve around interpretable food signals rather than price and merchant noise.

• Score-first cards
• Confidence-aware comparison
• Barcode lookup support

Honest uncertainty

Missing data lowers confidence

The system surfaces incomplete ingredient, nutrition, or packaging evidence instead of silently filling gaps.

• Low-confidence warnings
• Missing-data notices
• Explainable scoring pipeline

Future-ready

Prepared for richer food intelligence

The same structure can later support category-aware guidance, better ingredient heuristics, and alternative recommendation flows.