At Thetus we're all about models
Humans think in terms of models, not data. It is models that give meaning to data. We create models that represent concepts and relationships to better understand complex issues. As we deal with ever increasing volumes of data, it is models that help us identify what/'s important, how to organize it, how to hypothesize about it and how to discover connections between disparate data. Assembling a model allows us to discover things we didn't know before, thereby developing knowledge assets that can be shared and reused.
We use models because problems are constantly changing and the dynamics between people are in flux. To form an accurate picture of the human dynamics landscape, existing knowledge needs to be integrated into a framework that can adapt as problems, situations and relationships change.
Which is why we, at Thetus, make enterprise software that helps people research, document, visualize, and model the behavior of complex systems.
We work with people who have heaps of data; what we do is take this sparse and inconsistent information and provide connections to make it relevant and useful; we do this by giving users the tools to create models. Models are dynamic and allow for a completely customized approach to suit a user's needs and surround a user's specified problem space. One of the major strengths of a model is that it lets us organize information in terms of the problem we're trying to solve, not the data we're collecting. More importantly, it frees us to think about our problem space in terms of concepts and abstraction, not data; to take a model-driven approach instead of a data-driven one.













