Materials Integration is the concept of accelerating materials development by linking processing, structure, property, and performance (PSPP) on a computer. Under the concept, a system named MInt (Materials Integration by Network Technology) has been developed. MInt is a kind of scientific-workflow management system but specialized for materials science and engineering. One can links PSPP with computational modules using any types of models such as theoretical, empirical, numerical-simulation, and machine learnings. The workflow consisting of modules connected can work as an executable forward predicting calculator from processing to performance and can be used with any sorts of iterative optimizing algorithms such as Bayesian optimization, Monte Carlo tree search (MCTS), the simplex method and so on for inverse design of materials. In this talk, I would like to share some examples to solve inverse-design problems with a power of MInt and discuss the impact of MInt on the research and development system in terms of academia-industry collaboration.