Dynamic Machine Learning
An intelligent, proven, and trustworthy machine learning platform for making better decisions
Explore the depths of your data and improve with our Dynamic Machine Learning Platform
Get started with a demo today and learn how Accupi can help you
Multi brain platform
Did you an octopus can have 9 brains? In addition to a central brain, each of 8 arms has a mini-brain that allows it to act independently.
Accupi leverages multiple brains
By utilizing our proprietary multi-brain technology, we are able to leverage machine learning algorithms which improve your decisions and help your company make the best decision.
In a rapidly changing workplace, providing continual learning helps Accupi to adapt quickly.
a.i. that continuously learns
Continuous learning, also known as constant learning, is the concept of always expanding knowledge to gain new skills and expertise. For Accupi, continuous learning is about gathering data and continuously feeding the information into our decision engine. By providing the platform with new information that facilitate this learning, Accupi gets smarter overtime.
Build a Strategy for Continuous Learning
how accupi works
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.
Integrate into workflow
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.
Continuous Learning
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.