The first step in teaching Accupi is introducing your historical data. The more data you have, the more information can be used to train each brain. As the brains learn from each iteration and more knowledge is fed into the system, the learning will improve and deliver better results. If data is lacking, our systems allow you to begin capturing information to be used at a later date.

After training and teaching Accupi, the next step is to get plugged into your daily flow of decision making. As new information is gathered, and new results are classified as desirable, Accupi is able learn from each interaction. As time passes, decision becomes smarter and a more advanced and intelligent brain evolves from continuous learning. Behavioral models yield substantial predictive power over traditional models. 

We tune a series of proprietary machine learning models to match the historical performance of your desired results. Different types of applications use different machine learning models. Each brain handles the teachings differently and thusly produces a dynamic model that can adapt to changes.