The pillars of technology are science, math, and computing. These days,

artificial intelligence couples these areas together under a computational

paradigm to produce practical results. Algorithms are at the core

of this computational paradigm yet many professionals are not as algorithmic-centric as they could be. They don't tend to delve into how the algorithms are derived. At metricmath.com, we enjoy delving into the details and can create custom algorithms when the standard ones fall short. And algorithm development is one of the most cost effective ways to gain product efficiency and performance. This website explores how these pillars interact within a computational and algorithmic paradigm.