Six Pillars of Clinical Diabetes Care
Diabetos is engineered specifically for the healthcare realities of Zimbabwe and Sub-Saharan Africa—bridging diagnostic gaps with machine learning and culturally authentic care.
98.4% Precision XGBoost Clinical AI
Trained on validated metabolic datasets, our machine learning model identifies non-linear metabolic risk indicators with 98.4% diagnostic sensitivity before irreversible symptoms emerge.
Culturally Calibrated Zimbabwean Nutrition
No generic Western diets. Diabetos understands Sadza Rezviyo, Mhunga, Mapfunde, Muriwo Unedovi, and Rupiza, calculating real glycemic load for African metabolism.
1-Tap Emergency SOS Ambulance Dispatch
When acute hypoglycemia strikes, a single tap dials 999 and participating ambulance networks while broadcasting precise GPS coordinates and emergency contacts via SMS.
Smart Medication Pillbox & Adherence
Automated dose tracking for Metformin, Gliclazide, and Insulin. Calculates adherence scores, forecasts pharmacy refills, and notifies designated caregivers upon missed doses.
Clinician Telehealth & Hospital Portal
Registered physicians can monitor real-time glycemic charts, adjust dosages remotely, and generate 1-click exportable PDF clinical reports for patient files.
Offline-First Architecture & USSD *789#
Full core logging operates offline without active mobile data. Rural communities can log vitals and receive dietary tips over standard USSD *789# on any basic phone.
Ready to start tracking?
Available on Android, iOS, and USSD *789# across Zimbabwe.