It originally specialized in mechanistic modeling of environmental engineering processes including pollution control systems. Models developed for this field include simulators of the activated sludge process, sequencing batch reactor, air stripper with chemical reaction, storm water discharge, aqueous solubility of heavy metals, and compressive gravity thickening.

Empirical modeling of environmental processes led to the use of linear ARMA models and artificial neural network (ANN) models. This, in turn, led to the development of Multivariate Polynomial Regression (MPR), which combines the advantages of both ARMA and ANN models. MPR is implemented in TaylorFit software.

Since MPR is a completely empirical modeling technique, it can be used in any area. The availability of this powerful tool has led Simetrica, LLC to develop numerous applications ranging from business to engineering.