Log the plate — with a photo, your voice or by hand. Within a minute you see how much it loads the body, what exactly drives it up and what to change at the next meal.
The answer rests on 20 physiological twins and more than 110 connections between them — that is why it is more precise than plain calorie counting.
You used only 24% of your daily reference. Keep going like this and this is a day that helps.
Calm insulin response — the food is absorbed smoothly.
This is exactly what a user sees after the first logged meal.
“In 30 days: DIL 68 → 41. I wake up without fatigue.”
“In 30 days: waist −4 cm. I stopped the afternoon sweets.”
“In 30 days: I understood why I get hungry at 4 pm. Swapped 2 snacks.”
A photo of the plate, your voice or a search by name. Under a minute.
One clear result in words: how much it loads, what drives it and what to change.
Talk to the twins about hormones, the liver, sleep — on top of your own data.

Nutramilo is an educational platform for personalised metabolic health. From your labs, anthropometry and food diary it computes an individual plan, tracks 20 organ-level 'Digital Twins' and activates the relevant KEGG pathways. Every recommendation carries a PMID/KEGG citation from validated sources (CTD·NIEHS, Phenol-Explorer·INRA, Cochrane) and exports as a clinician-ready PDF for your doctor.
Not a medical device. Does not replace a doctor. · How we use your data
Describe, scan a barcode, or snap a photo — in seconds, see how it affects your energy and insulin, without CGM or blood tests.
Everything you enter flows into a living reflection of your body. Every value reaches the twins that depend on it.
The network updates with every meal, measurement or lab result — so the score reflects your state today, not your state a month ago.
Each twin is responsible for one precisely defined system and receives only the data that belongs to it. Together they form a living network in which no marker is lost and none is counted twice.
Insulin load of your food, composition and meal frequency.
A single entry point for results — completeness and freshness.
Inherited traits and how they change your needs.
Absorption floor by floor, digestion and the gut barrier.
Weight, fat and muscle tissue, circumferences.
Hours, rhythm and overnight recovery.
Cortisol rhythm, tension and emotional state.
Blood pressure, pulse reserve and blood lipids.
Six endocrine axes and which floor the fault is on.
Blood glucose, HbA1c, insulin and sensitivity.
hsCRP, ferritin and the omega fatty acid balance.
Steps, active minutes, heart-rate zones and strength.
Liver markers and the clearance of substances.
Filtration rate, stage, potassium and phosphorus.
Caries, gums, fluoride and the link to the whole body.
Tissue environment, short checks and cycle-related pain.
Blood count, iron, vitamin B12 and folate.
Balance, senses, thinking and concentration.
Testosterone, prostate and spermatogenesis.
Breathlessness, respiratory rate and oxygen saturation.
Stress does not stay in the nervous system — it suppresses the conversion of thyroid hormone. A short night changes the insulin response the very next day. The network orders these dependencies and shows which circle is burning today and where the lever is.
The circle breaks at your evening rhythm and hours of sleep, not at one more blood test.
The circle breaks at the composition of dinner and the hour of your last meal.
The circle breaks at the source of the inflammation — an iron supplement alone is not enough.
No section exists on its own. A lab result, a single meal or one „today“ entry change the scores of the twins that depend on them — and every change carries its reason.
Ask in your own words or out loud. The answer is built only from your results, meals and entries — when the data is not enough, that is stated plainly instead of guessed.
31 markers in 10 groups. Each marker is scored by exactly one twin, while the others use it as context. Nothing is counted twice.
Compose a meal and see the computed insulin load, the cortisol response, the blood lipid response and the renal load of potassium, phosphorus and sodium.
One short entry of weight, blood pressure, sleep and mood drives several twins at once. Any suggestion from the conversation can be saved as a goal for the week.
The conditions you confirm activate the matching KEGG pathways. Every pathway has an owner twin, so its activity shows up in that twin's score and not only on the map.
Every score opens a list of the markers the twin scores, the markers it uses, and the sections that adjusted it — with a reason for each adjustment.
Every score opens up and states what it is built from: the markers the twin scores, the markers it uses as context, and the sections that reduced it — with the reason for each reduction. The platform orders your own data and serves an educational purpose; it does not make a diagnosis and does not replace a medical examination.
Click any food to see its real insulin response. 21 foods based on peer-reviewed measurements.
Try it: move the sliders and see how your plate's insulin response changes. No blood tests, no CGM — just seconds.
This plate will trigger a medium insulin response (60.9% vs pure sugar). Expected load on your body: 55.3 g. More fiber = smoother energy curve and less hunger afterwards.
The insulin response is moderate due to the combination of carbohydrates, protein, and fats in the meal. The body experiences a balanced energy spike, but not overly high, due to the presence of fiber that helps slow down digestion. This results in a manageable load on the body without causing drastic fluctuations in blood sugar levels.
Swap white bread for whole grain bread to reduce the insulin response.
The analysis is independently validated against clinical research. It's an educational tool — not a substitute for medical advice. See the science
Calculate your daily insulin-load ceiling — then see how 3 plates with nearly identical calories produce wildly different insulin responses.
Approximate estimate. For a precise computation (US Navy + Katch-McArdle + v2.0 IL ceiling) — fill in the precise measurements above.
Calories aren't the whole story
You can be in a calorie deficit and still exceed your PDIL — chronic high insulin drives insulin resistance, fatty liver and PCOS, even while losing weight.
High NIS despite moderate calories — fast carbs + minimal fiber.
Slightly more calories, but protein + fiber blunt the insulin response.
Lowest calories, but hidden sugars → medium-to-high NIS.
No sign-up · no credit card · right in your browser
3 short questions. No signup. The demo will tune itself for your profile.
Every feature feeds your digital health twin — from nutrition to labs and organ-specific models.
Understand the full picture of your health — live dashboard, AI analyses, insights and forecasts.
Your personal metabolic board: BMI, VAIS, visceral index, biological age, weekly direction and insights.
See the dashboardDiscover which foods work best for your body — and what every meal does to you.
Photograph your plate → AI recognises ingredients in 3 seconds and computes the indices automatically.
See the diaryLabs, screenings and organ-specific models — precision beyond nutrition.
Skin, teeth, breast — AI-assisted visual checks. Not a replacement for your doctor.
See screeningsNutrition, labs, sleep, activity, symptoms — without complexity.
Scientific formulas and AI models turn data into meaning.
A living reflection of your body that learns from you every day.
Concrete steps for today — not generic advice.
See how every decision changes your markers over time.
Transparency into what's happening in your body — no jargon, no diagnoses.
Every recommendation in Nutramilo is grounded in trusted, publicly accessible, peer-reviewed sources. We don't invent — we verify.
PEER-REVIEWED SCIENCE
Nutramilo's insulinogenic budget model is based on real clinical research on insulin indices, metabolic syndrome, and nutritional endocrinology.
Tabung F.
Development and validation of empirical indices to assess the insulinaemic potential of diet and lifestyle
Bell K.
Algorithms to Improve the Prediction of Postprandial Insulinaemia in Response to Common Foods
Nimptsch K.
Dietary insulin index and insulin load in relation to biomarkers of glycemic control, plasma lipids, and inflammation markers
Mirmiran P.
Dietary insulin load and insulin index are associated with the risk of insulin resistance — Tehran Lipid and Glucose Study
Sadeghi O.
Dietary Insulin Index and Dietary Insulin Load in Relation to Metabolic Syndrome: The Shahedieh Cohort Study
Bao Y.
Dietary Insulin Load, Dietary Insulin Index, and Colorectal Cancer
Lee D.
Dietary Inflammatory and Insulinemic Potential and Risk of Type 2 Diabetes: Three Prospective U.S. Cohort Studies
Vajdi M.
Dietary insulin index and load and cardiometabolic risk factors among people with obesity

Breast surgeon and oncomammologist · Founder and Scientific Director
The idea for the digital twin network arose in a consulting room. It links processes Dr Inkov follows in his own patients: how metabolism and hormones affect the state of the tissue.
Zurich · Ulm · Montpellier · Milan · London · European School of Oncology
See the scientific profileCookies & Privacy
We use cookies for the site to work properly (necessary) and to measure performance (optional). You can choose which categories to accept. See our
Privacy Policy