We present Multi-Sigma, an AI analytics platform featuring high-accuracy prediction, contribution analysis, multi-objective optimization, and linkage AI analysis using our patented technology.

AIZOTH Inc.
General Manager

Ph.D. Ryuichi Kanai

General Manager, AIZOTH Inc.
PhD (Statistical Science)

We will present multiple case studies in which prediction, contribution analysis, and optimization were performed using Multi-Sigma, a no-code AI analytics platform. We will also show examples where AI models are built for each step in a multi-stage process and then linked together.
In MOF development, we will showcase multiple process steps are analyzed with AI to maximize CO2 adsorption capacity while reducing the material density. We will also present that molecular structures are converted into molecular descriptors so they can be handled, enabling the prediction of hydration free energy. In addition, we can optimize to minimize hydration free energy, and we will introduce such optimization examples.
Finally, we will present a case study in which material properties are predicted from aluminum alloy composition ratios and processing conditions, and an optimal design is achieved by simultaneously considering yield strength, tensile strength, and elongation.