medousa.net began its journey in early 2014 with the mission of constructing a Connected Artificial Intelligence based on Graph Theory and Deep Learning Technologies. The AI systems leverage behavioral data to uncover latent relationships, establish connections, and transform the resulting structure into a graph representation. This Graph Theory based Business Intelligence, medousa, will seamlessly connect your data and expand your perspectives exponentially, unveiling new insights and opportunities that were never seen in your previous data analysis. Over the years, medousa.net has delved deep into research to craft a robust tool with user-friendly features, empowering both businesses and individuals to harness the potential of complex behavioral data. By identifying and representing intricate behavioral patterns as connectivities within a graph structure, medousa.net has amassed significant expertise. As a result, we are confident in our ability to offer innovative solutions for analyzing your business's behavioral data. The Connected Artificial Intelligences developed by medousa.net are aptly named after the mythological figure, Medousa, who, in Greek mythology, turns onlookers into stone with her gaze. This nomenclature symbolizes our AI's ability to transform data into a structured graph, diverging from traditional methodologies. In making behavioral predictions, medousa.net employs two distinct methodologies. The first involves behavioral pattern matching, drawing insights from billions of behavioral patterns. The second approach entails embedding the entire graph structure utilizing the Graph Neural Network algorithm. While these methods may appear dissimilar, they both capitalize on the underlying dependencies within the data.