The AICube provides cutting edge alternatives to ease prevention behaviours and deliver predicting medicine solutions. TheAICube suggests specific care treatments to improve life quality and reduce the cost of healthcare consequently. TheAICube developed, designed, and patented DOC.D (Data Organized Collector Device), the first device that collects different biomarkers thanks to a non-invasive daily routine. These biomarkers are analyzed through a POP (Point of Prevention) analyzer with a disposable cartridge and a set number of tests included. The outcomes are processed through a Machine Learning algorithm in a Machine Learning server, “The Cube”, connected wirelessly. The Cube evaluates the data from each user, besides the dataset of the main parameters already included in the database and updated consistently. Each device collects, elaborates and processes the clinical data needed to prevent the most common diseases. The data are collected on a daily or weekly basis, thanks to minimally invasive procedures. One of the key factors is that DOC.D can take advantage from common devices already used in daily life (i.e. electric toothbrushes, digital bathroom scales, etc), with built-in specific sensors. The Machine Learning process provides the trained user or a subject delegated by the user (e.g. relatives, GP, Hospital) with messages and buyers as pharma industry, and Insurance companies with domain knowledge. TheAICube has developed its first application for the mouth, where one can easily collect a sample of saliva. Saliva contains important biomarkers as Cortisol, Glucose, Alpha-Amylase. DOC.D is scalable and further sensors are scheduled for the near future.