We develop advanced design of experiment (DOE) algorithms that help customers conduct systematic, efficient, and optimized experimentation. Our smart DOE tools minimize the number of required trials while ensuring comprehensive coverage of the process window. By integrating machine learning methods into DOE, we enable adaptive, data-driven approaches that identify key parameters, reveal hidden patterns, and optimize process conditions. This intelligent framework saves significant time and cost while guiding researchers and engineers toward faster breakthroughs and more reliable outcomes in technology and product development.
