The success of phage therapies relies on correctly matching a therapeutic phage to bacterial strain. However calibration of therapy recipe may last for years. Presented solution enable to accelerate this by in silico simulations on AI platform for in vitro. It is able to find optimal phage that meets the phenotype imposed by the researcher. Currently, this process is performed by wet-lab employees (in vitro). Replacing it with an in silico will significantly accelerating the process and improving therapy quality. It is a novel endeavor in the area of molecular biology.