Developer of metabolic profiling technologies designed to automate the measurement of biochemicals in biological systems. Patented protocols embed chemical signatures into complex internal standards which are readily easily identified in mass spectral data using software algorithms. These complex internal standards can be spiked into biological samples, i.e. blood, urine, biopsies etc. to identify and quantitate 100s of metabolites. Key is that these protocols remove mass spectral ionization inefficiencies/matrix effects which is the leading cause of unreproducible data. The result is suppression-corrected data, complete cross-platform quantitative reproducibility, with validated compound identification. Better data translates into biomarkers for diseases, diagnostics and drug development.