THE CHALLENGE
Nutrition advice is everywhere. Context is not.
Food decisions are still made from fragmented information: generic advice, incomplete labels, inconsistent recipe data, and search results that rarely understand a person's health context.
Authoritative food-composition datasets hold the detail needed for better decisions, but they are difficult for non-specialists to use directly. ELIA bridges that gap, translating structured nutrition evidence into an accessible conversation.
Instead of relying on free-form model output alone, the platform connects AI reasoning to concrete foods, nutrients, recipes, and dietary rules. The result is guidance that is easier to understand—and easier to trace.
“The ambition is not to hide the data behind AI, but to make the evidence usable.”
ELIA project principle
FROM DATA TO DIALOGUE
A clearer way to ask about food.
ELIA makes nutrition information conversational while keeping retrieval, reasoning, and explanation as distinct parts of the system.
Build a high-protein lunch for Type 2 Diabetes, with plenty of fiber and no shellfish.
I'll compare suitable recipes against your preferences and condition-specific constraints, then refine the options before presenting the strongest matches.