System modeling is continuing to grow in importance as the enabling discipline for digital engineering. Descriptive system models can be used as the “central nervous system” of a system development effort (to federate a constellation of analytical models and other engineering content). Hypermodeling is a methodology focused on maximizing model elegance through the efficient generation of a descriptive system model (with appropriate supporting content). It emphasizes the most simple, direct approach to rigorously capturing relevant information. Hypermodels use a limited set of model elements, relationships, and properties and seek to maximize the amount of information derived from the model. The NeMO hypermodel, an example built by students at the University of Detroit Mercy, provides a comprehensive demonstration of this approach and includes behavioral, structural, and analytic information as well as metrics and requirements. It is hoped that this large example will serve as a focus for discussion and experimentation in the system modeling community. Links to hypermodeling tutorial videos are available for study and comment at the hypermodeling website: http://hypermodeling.systems.