Provides a full framework for building large-scale distributed intelligent decision support applications as well as a comprehensive tool suite for configuring, deploying, and monitoring them.

ActiveEdge® is considered an Open Architecture Hybrid Computing Platform, which influences design, methodology, and implementation. An Open Architecture is an architecture in which extension and reconfiguration at the component level is supported and encouraged. It enables the best of breed to be brought together and tailored to meet the specific needs of the enterprise application, without compromising the core integrity of the architecture. This is achieved through the rigorous use of standards, interfaces, abstractions, componentization, and clean separation of concerns in design. A Hybrid Computing Platform is a platform in which no single or fixed set of techniques defines capabilities of the architecture. Instead, the architecture embraces a rich diversity of techniques by providing a means through which large problems can be decomposed into reasonable pieces, and each piece can have the best technique or algorithm applied.   Typical techniques in an application include AI/ML (Machine Learning, Generative AI, AI Planning, A* Routing, GAs, etc…), Mathematics (Graph Theory, Game Theory, etc…), Data Analytics (Predictive Modeling, Data Trends, etc…), and others.  The power is not solving a problem with a single universal techniques, but breaking the big problem into one hundred small problems that can each be easily solved with exactly the right technique and putting the partial solutions together.