The first of its kind, GridDNA™ applies artificial intelligence and machine learning algorithms to improve grid efficiency in a variety of ways.

Data, Data, Everywhere

This patent-pending engine takes existing data from your CIS, Billing, MDM, OMS, Asset Management, GIS, SCADA and any other utility back office IT systems and combines them with external data. The combination of these disparate sources of data, such as traffic updates, upcoming events, "buzz" from social networks, weather, and news reports are coupled with operational data to gain insight and predict consumption, demand and load more accurately than ever before.

Machine Learning

GridDNA™ applies state-of-the-art machine learning methods which scale to very large and complex datasets. Our powerful library contains over 100 data analysis methods and utilizes a combination of algorithmic advances, mathematical acceleration techniques, and parallel/multicore computing. We benefit directly from decades of research conducted at Georgia Tech and around the globe, and are using the latest and greatest computing technology.