Digital twin model
Designed to combine disease profiles, medications, lab results and preferences into one personalized metabolic profile.
CureDietary is an AI-powered platform designed for people living with one or more chronic conditions, bringing disease profiles, medications, biomarkers and daily-life preferences into one digital-twin model.
When diabetes, hypertension and obesity coexist, standard food lists can become contradictory. Even sound guidance fails when users cannot translate it into daily choices.
Start without mandatory wearables or expensive tests, then add deeper biological data only when useful.
Designed to combine disease profiles, medications, lab results and preferences into one personalized metabolic profile.
Evaluates priorities across several chronic conditions rather than optimizing for a single goal.
Checks intended to make potential drug–nutrient conflicts visible in everyday planning.
Recipes and shopping lists adapted to local ingredients, cultural preferences, budget and time.
Infrastructure for securely sharing plan summaries with a clinician or dietitian, with user consent.
An approach centered on data minimization, explicit consent and user control.
Provide the minimum necessary information about conditions, medications, goals, preferences and budget.
The decision engine considers competing priorities and potential drug–nutrient interactions in one model.
Receive practical meals, avoid-lists, recipes and a shopping-ready plan.
The plan is designed to improve over time using feedback, measurements and optional clinician input.
A useful profile can begin with conditions, medications, goals and preferences. Laboratory, nutrigenomic and microbiome data are optional layers.
Core daily planning and metabolic tracking.
More meals and deeper personalization.
Year-round continuity for chronic conditions.
B2B2C licensing is planned for patient populations, employee wellness and elderly-care organizations, with cohort management, reporting and clinician workflows.
Request an enterprise call15+ years across strategic management, entrepreneurship, quality systems and technology projects; leading business model, operations, partnerships and financial planning.
15+ years in digital tools, UX/UI, education and content operations; leading product requirements and the translation of health knowledge into practical plans.
Experience in marketing, business development, market research and data analysis; contributing to product design, UX and the AI nutrition engine.
No. It supports everyday nutrition decisions and does not provide diagnosis, prescriptions or emergency care.
No. They are not required for a useful starting profile and can be added optionally.
Decision matrices are designed to evaluate priorities across conditions and make conflicts visible.
The architecture is based on explicit consent, data minimization and access-control principles.
Register your interest as a pilot user, healthcare partner or strategic collaborator.