Upload your lab results or take a 3-minute assessment. You get a clear metabolic profile — in language you actually understand.
No credit card · GDPR-protected data · Built with real clinical practice
Analyze, understand and improve your metabolism with tools that work together.
See how food affects you before you eat it — and how it plays out across hours, days and weeks.
Clinical phenotypes, KEGG pathways, metabolic-type synergies — assembled into a workflow for real practice.
Finds intersections between 2+ metabolic types in a patient. Shows synergistic foods, conflicts and shared KEGG pathways.
Library of non-pharmacological interventions (yoga, breathing, sleep hygiene) mapped to the same pathways as foods — for patients who can't tolerate supplements.
Multi-phenotype meal AI — select several metabolic types and the system picks foods covering shared pathways.
What % of the patient's active metabolic pathways are covered by their current diet. Real-time progress bar.
Interactive Sankey diagram of epigenetic pathways. Disease Discovery mode with live search.
Upload 23andMe / AncestryDNA. Returns personalized recommendations for vitamins, minerals and metabolism + PDF.
Doctor Portal with patient cohort, unified phenotype bundle, Whisper-powered SOAP notes and QR-coded PDF reports.
Benefits in clinical practice
Shorter consultations with pre-visit AI summary · objective progress metric between visits · unified record across 4 systems (metabolism, kidney, blood, nutrition) · GDPR + EU AI Act compliant · Bulgarian interface.
Two peer-reviewed validated models estimate your biological age and pace of aging from standard blood markers.
Computes biological age relative to chronological. Markers: albumin, creatinine, glucose, hsCRP, lymphocytes, MCV, RDW, ALP, WBC.
PMID 29676998How many "biological years" pass for each calendar year. Pace > 1 = faster aging; < 1 = slower.
PMID 35029144Results appear automatically after you upload lab results in Analyses → Lab.
Quick screenings — no signup, no credit card
Real stories
Anonymized observations from platform users. Names are initials, ages are in ranges.
M. I. · 40–50 · Female
Chronic fatigue, unexplained weight gain
„Once I understood which foods spike my insulin, I got my energy back and lost weight without starving."
Educational example · not medical advice. Results vary by individual and are not guaranteed.
D. K. · 30–40 · Female
PCOS, irregular cycle
„Cycle-aware nutrition made a huge difference. My doctor confirmed the improvement."
Educational example · not medical advice. Results vary by individual and are not guaranteed.
S. P. · 50–60 · Male
Pre-diabetes, elevated cholesterol
„The platform showed me exactly which foods drive my risk. After 6 months, my doctor said I'm no longer pre-diabetic."
Educational example · not medical advice. Results vary by individual and are not guaranteed.
WHO IS IT FOR?
Click the question that resonates. We'll route you to the most useful free tool.
Metabolic assessment + lab analysis — see the actual cause.
Start assessmentDIL model — foods that fill you up without spiking insulin.
See howCycle-aware plans + estrogen and insulin focus.
See planAnonymous lab analysis + personalized plan, no signup.
Upload labs23,000+ foods with 6 clear scores each — from satiety to DIL.
Explore foodsDoctor Portal with PDF reports, magic link invites, unified phenotype bundle.
See for cliniciansWhether your goal is weight loss, hormonal balance, or a scientific approach to nutrition — Nutramilo adapts everything to you.
PCOS, endometriosis, menopause — plans aligned with cycle and estrogen profile
Type 2 diabetes, metabolic syndrome — optimize insulin load via DIL model
Optimal nutrition for fitness goals, muscle growth, or weight loss with a scientific approach
Lab analyses, 16 micronutrients, 5 phenotypes, risk assessments — data for informed choices
FEATURES
Science-based tools, AI analysis, and personalized tracking — in one interface
Simulate how food, supplements and lifestyle shift 12 physiological variables across 3 horizons (0-4h / 7d / 30d). Same NutriBot AI as the chat, backed by 145 supplements with PubChem CID, DSLD label data and recent PubMed RCTs.
Interactive Sankey-diagram view of epigenetic pathways across 340+ diseases including rare syndromes. Disease Discovery mode with live cross-pathway search.
Finds intersection points between 2+ assigned metabolic types (PCOS, diabetes, hypothyroidism…). Shows synergic foods, conflicts, shared driver pathways.
DunedinPACE-style pace ratio + PhenoAge (Levine) from 9 blood markers. See biological age vs chronological + 12-week trend.
Each supplement: dose, timing, form, bioavailability + 4-tier evidence badge (★★★ Meta-RCT / ★★ RCT / ★ Expert / ✦ Traditional), PubChem CID + molecular data, DSLD US label count and recent PubMed RCTs.
Multi-phenotype meal AI — pick several clinical metabolic types and get foods covering shared pathways. Top-5 intelligent picks.
Floating Nutramilo AI on every page — knows 100% of the platform, navigates you to any feature with contextual help.
Passwordless one-click sign-in via email — 15-min single-use tokenised security. Ideal for patients invited by their doctor.
Real examples from your future dashboard, AI assistant, and analytics.
HOW IT WORKS
Sign up with email. No credit card required.
Answer short questions or upload lab results. Nutramilo combines symptoms, labs, lifestyle and (optional) genetics into one holistic metabolic profile.
AI explains your results in plain language, highlights key problems (e.g. insulin sensitivity) and priorities — not just "results" but interpretation.
We link nutrition, metabolism, hormones and genetics — and show how they influence each other through epigenetic and metabolic pathways.
See dietary insulin load (DIL), how food will impact you, and real-time recommendations. You can even simulate the effect of food on your body (Digital Twin).
AI builds a plan from your metabolic profile, labs and actual food response — nutrition, activity, sleep, supplements (when appropriate).
See how nutrition affects blood sugar, how your metabolism evolves, and whether you're heading in the right direction — with real metrics, not guesses.
Ask questions and receive answers tailored to your data — endocrinologist, nutritionist, blood and kidney disease specialists.
MOBILE APP
Add Nutramilo to your home screen and access all features as a native app
Calories, macros, DIL, sleep, water — all in real time
Clinically-oriented recommendations based on your analyses
AI extracts values from PDF, tracks trends, gives recommendations
DIL, FODMAP, Satiety Score — for every portion
THE SCIENCE
Every aspect of your personalized plan is based on peer-reviewed science and clinical models.
Dietary Insulin Load (how much your meals stimulate insulin) — quantifies the insulin response to your food.
Dietary Insulin Index (insulin stimulation per calorie) — measures the insulin impact per calorie consumed.
Endo-Score (a 0–100 grade of your metabolic state) — composite quality score of inflammation and metabolism in your diet.
Metabolic types P1–P5 (how your body responds to food) — your metabolic type determines nutrition strategy and fasting protocol.
Menstrual cycle phases affect insulin sensitivity — DIL adapts automatically.
Evaluates how well your eating pattern matches your metabolic type's recommendation.
Nutramilo is not a black box. We publish the peer-reviewed formulas for NIS (insulin index), DIL (insulin load), UIS (unified inflammation index) and the daily DIL ceiling as an open-source Python package — for clinicians, researchers and regulators.
Independently validated formulas for insulin response, insulin load and inflammation. 30+ peer-reviewed PMID citations, open-sourced on PyPI (`pip install nutramilo-nis`). Full technical specification — in one place, verifiable by anyone.
102/102 tests passing
Pytest validations for NIS, DIL, UIS, IL ceiling and SDK exports.
n=147 validation dataset
Reproducible Colab notebook — Holt 1997 + Bell 2014 + Bao 2009.
EU AI Act Art. 50
Deterministic rules, no opaque ML — full transparency.
$ pip install nutramilo-nis>>> from nutramilo_health import PlateFood, nutramilo_insulin_score, unified_inflammation_score >>> plate = [PlateFood(name="salmon", grams=150, protein_g=30, fat_g=10), ... PlateFood(name="quinoa", grams=120, carbs_g=39, fiber_g=4.5, protein_g=8, fat_g=3.5)] >>> nutramilo_insulin_score(plate)["percent"] 31.5 >>> unified_inflammation_score(plate)["percent"] 12.4
MIT License · Pure-Python · Zero runtime deps · pypi.org/project/nutramilo-nis · DOI 10.5281/zenodo.20571802
Pick a condition and see how Plate Simulator + Digital Twin work together on a real meal — what NIS/UIS it scores, what the twin forecasts, and what effect peer-reviewed literature documents.
Plate Simulator
Breakfast: 2 eggs + avocado + spinach
Digital Twin forecast
Stable insulin = less hunger between meals. Simulator shows low NIS (14%) → Digital Twin forecasts 4h satiety and zero glucose dip → realistic deficit without restriction.
Evidence (peer-reviewed)
Ludwig 2018 (BMJ k4583): low-insulin meals → 13% lower hunger scores
Read full articlePEER-REVIEWED SCIENCE
Nutramilo's DIL 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 — a prospective approach in 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: Results From Three Prospective U.S. Cohort Studies
Vajdi M.
Dietary insulin index and load and cardiometabolic risk factors among people with obesity: a cross-sectional study
NUTRITION INTELLIGENCE
For every food you see 6 clear scores: how filling it is, how many vitamins and minerals it gives you, how it affects your gut, how much insulin it triggers, the calories/fiber/fat balance, and smart swap suggestions.
Measures how well a food suppresses hunger. Based on protein density, fiber density, energy density, volume and a hyperpalatability penalty (high fat + high carb). Foods with high Satiety Score keep you full longer with fewer calories.
Evaluates how many micronutrients a food delivers per 100 kcal against the Recommended Daily Allowance (RDA). Calculated across 16 nutrients: protein, fiber, potassium, magnesium, calcium, iron, zinc, selenium, phosphorus, vitamins A, C, D, E, B6, B12 and folate. An added sugar penalty is applied.
16 nutrients: Protein, Fiber, K, Mg, Ca, Fe, Zn, Se, P, Vit. A, C, D, E, B6, B12, Folate
Fermentable Oligosaccharides, Disaccharides, Monosaccharides And Polyols — short-chain carbohydrates that cause gut irritation in some people. Foods in the database are classified as Low/Medium/High FODMAP per Monash University data. Beyond the validated base, Nutramilo also searches the USDA database for expanded access to thousands of foods.
Every suggested food comes with a calculated DIL for the specific portion size (usually 50g). Shows how much of your daily insulin budget this portion will consume. Helps you distribute DIL optimally across meals.
Each portion displays calories, fiber grams and saturated fat. Fiber slows sugar absorption and improves insulin response. Saturated fat is tracked against a daily limit based on your metabolic profile.
Meal Intelligence automatically suggests alternative foods with lower DIL for every recommendation. Shows how much DIL you save with each swap. Ideal for days when you want to optimize your insulin budget or diversify your menu.
White rice (DIL 8.9) → Quinoa (DIL 3.1) — save 5.8 DIL
Why our model is more accurate than GI/GL
What it measures
The insulin load of food, adapted to your metabolic phenotype (P1-P5), weight, BMR, TDEE, menstrual cycle, and estrogen profile. The formula accounts for protein, carbohydrates, and fiber for precise insulin response.
Scope
Metabolism, insulin, hormones, cycle, phenotype
Metabolic assessment accuracy
Banana
GI/GL only show the blood sugar effect. DIL accounts for the insulin response to protein + carbs - fiber, adapted to your metabolic phenotype and daily budget.
Salmon
GI/GL give salmon a 0 (no carbs), but DIL captures the protein-driven insulin response. Even carb-free foods stimulate insulin through protein.
DIL/DII provide a complete picture of food's insulin impact — not just carbohydrates, but also proteins and fiber, personalized to your body and metabolic phenotype.
See the Dietary Insulin Load of real foods from our validated database
24 of 24 foods
Zucchini (cooked)
Vegetables
2.4
DIL / 100g
Spinach (cooked)
Vegetables
3.1
DIL / 100g
Tomatoes
Vegetables
3.2
DIL / 100g
Avocado
Fruits
3.4
DIL / 100g
Broccoli (cooked)
Vegetables
5.2
DIL / 100g
Carrots (cooked)
Vegetables
5.7
DIL / 100g
Eggplant (cooked)
Vegetables
6.7
DIL / 100g
Raspberries
Fruits
7
DIL / 100g
Yogurt 3.6%
Dairy
7.7
DIL / 100g
Egg (boiled)
Dairy
8.2
DIL / 100g
Yogurt 2%
Dairy
8.5
DIL / 100g
Tuna (in olive oil)
Meat & Fish
9.5
DIL / 100g
The lower the DIL, the less insulin load. Sign up to get your personalized daily DIL budget, adapted to your metabolic phenotype.
Built with care for your data and aligned with European standards
Композитен резултат 0-100, отразяващ възпалителното и метаболитно качество на вашата диета.
Вашият метаболитен фенотип определя персонализираната ви хранителна стратегия и протокол за гладуване.
Как DII измерва възпалителния потенциал на вашата диета на калория.
Разбиране на основната метрика, която измерва колко вашите хранения стимулират производството на инсулин.
Every recommendation in Nutramilo is backed by credible, publicly available and peer-reviewed sources. We don't guess — we verify.
Drug-food interactions for 41+ medications
30M+ medical publications — PMID, abstracts, authors, citations
200M+ scientific papers with citations & metadata — Graph API
Chemical info for supplements and ingredients
Barcode data for thousands of store products
Nutritional composition of 23,000+ USDA foods
Genetic variants and clinical significance
Gene-disease associations and targets
AI analysis from four specialized agents
Recipes and nutritional analysis
Cookies & 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.