Experimental design is a systematic tool for planning experiments and analyzing the information obtained in which several experimental parameters are varied systematically and simultaneously to obtain sufficient information. Using machine learning and sequential learning approaches, AI Materia is disrupting this methodology to augment the traditional design of experiments with a more guided approach to minimize the number of required experiments and identify the path which leads to a continual cycle of improved operational performance.