Hillo
Hillo AI is dedicated to unlocking precision diabetes care through AI and digital twin technology. Their patient-centric approach involves building digital twins that mimic individual glycemic responses, enabling personalized treatment plans, simulation, prediction, and real-time blood glucose management. The company aims to improve diabetes management efficiency and outcomes with clinically validated AI technology.
Industries
Nr. of Employees
small (1-50)
Products
Digital twin-based predictive platform
Platform combining patient-specific digital twin models, ML forecasting, and analytics to predict short-term glucose trends and support personalized treatment decisions.
Clinically validated predictive models
Predictive engines trained and tested on observational and shared clinical trial datasets, evaluated with clinical error-grid metrics and reported high within-grid accuracy at multiple horizons.
Digital twin-based predictive platform
Platform combining patient-specific digital twin models, ML forecasting, and analytics to predict short-term glucose trends and support personalized treatment decisions.
Clinically validated predictive models
Predictive engines trained and tested on observational and shared clinical trial datasets, evaluated with clinical error-grid metrics and reported high within-grid accuracy at multiple horizons.
Services
Web application for healthcare professionals
Cloud-hosted application that extracts behavioral and therapeutic patterns from patient data, highlights recurrent glycemic patterns, and provides simulation tools to evaluate treatment adaptations in-silico.
Real-time glucose prediction API for patient-facing apps
API service that provides short-term glucose direction and risk predictions and personalized preventive recommendations for integration into patient logbook or mobile apps.
Digital twin simulation service
Service that constructs patient digital twins from real-world data and runs in-silico scenarios to evaluate the impact of lifestyle or therapeutic changes on glucose control.
Web application for healthcare professionals
Cloud-hosted application that extracts behavioral and therapeutic patterns from patient data, highlights recurrent glycemic patterns, and provides simulation tools to evaluate treatment adaptations in-silico.
Real-time glucose prediction API for patient-facing apps
API service that provides short-term glucose direction and risk predictions and personalized preventive recommendations for integration into patient logbook or mobile apps.
Digital twin simulation service
Service that constructs patient digital twins from real-world data and runs in-silico scenarios to evaluate the impact of lifestyle or therapeutic changes on glucose control.
Expertise Areas
- Digital twin modeling for personalized diabetes care
- Machine learning for time-series medical data
- Continuous glucose monitoring (CGM) data analytics
- Clinical validation of predictive models
Key Technologies
- Digital twin modeling
- Machine learning time-series forecasting
- Missing-data imputation algorithms
- API-based integration