Nutramilo was created with a clear goal — to make metabolically oriented nutrition accessible, measurable, and personalized.

Modern endocrinology shows that the response to food is individual and depends on: insulin sensitivity, β-cell function, body composition, hormonal status, and genetic factors.

Nutramilo uses these principles to go beyond universal diets and offer a personalized metabolic model based on real data.

20 twins · one living system

Nutramilo is not another step counter. It is a network of 20 twins for the separate systems of the body — nutrition, labs, heredity, microbiome, body composition, sleep, stress, heart, hormones, metabolism and insulin, inflammation, movement, liver, kidneys, teeth, breast, blood, nervous system, male health and breathing — combined into one shared score.

Record a meal, measure your blood pressure or upload a lab result, and every affected twin updates at once. More than 110 physiological dependencies show what drags what: how this week's stress will meet your insulin curve, your heart and your gums next week. Every score opens up and states what it is built from.

• Conversation with the twins, including a spoken question — the answer is built only from your own data
• Biomarker map — 31 markers in 10 groups, each scored by exactly one owner twin
• Plate simulator — insulin load, cortisol response, blood lipids and renal mineral load
• The "Today" tile — one short entry drives several twins at once
• More than 110 physiological connections and vicious-circle detection
• KEGG biological pathways, each with an owner twin

At the core of the platform is the concept of Dietary Insulin Load (DIL) — a quantitative model that evaluates the metabolic insulin response to food, not just caloric intake.

Unlike traditional approaches (calorie counting, glycemic index), DIL includes the effect of carbohydrates and proteins, reflects the real hormonal response, and serves as an indicator of metabolic load.

Nutramilo uses DIL as a metabolic marker, not as a standalone disease predictor.

"Not all calories are metabolically equal." The insulin response to food depends on: macronutrient composition, fiber content, fat profile, degree of processing, and individual metabolic context.

Nutramilo doesn't just count calories — the platform analyzes the metabolic load of every meal and interprets it in the context of the specific person.

Nutramilo defines metabolic phenotypes (P1–P5), reflecting: glucose control, insulin dynamics, lipid profile, and metabolic risk.

Recommendations adapt dynamically based on: current metabolic status, nutritional context, and physiological factors.

The platform integrates four AI specialists, each with access to a specialized scientific knowledge base:

They work together to provide: personalized interpretation, contextual recommendations, and an adaptive nutritional model.

Nutramilo is based on modern scientific concepts from: metabolic endocrinology, nutrigenomics, and research on the insulin response to food.

Key Models

Scientific Principle

Nutramilo views insulin load as a context-dependent metabolic modulator. Its effect depends on: body composition, insulin sensitivity, β-cell function, and genetic profile.