Given the vast possible chemical structures and materials resulting from reticular chemistry (MOFs and COFs) and the flexibility with which they can be designed and produced, it is timely to deploy large language models and machine learning for rapidly connecting the molecule to the material to societal applications, ranging from clean air, clean water to catalysis and biomedicine. AIMATRY is a new field of science where AI is used for the design of new materials and critically for connecting a desired property to a specific chemical structure. AIMATRY’s goals are to lay the foundations for productive use of AI in discovery and study of new materials, and to ultimately produce materials faster, better, cheaper and greener than has ever been possible. I also will share how multivariate MOFs and COFs constitute ideal objects for AIMATRY.