DrugSuccess.Ai: Predict drug success before clinical investment

Drug development is full of high-stakes decisions made with incomplete evidence—and promising therapies can still fail during translation. We built DrugSuccess.Ai to help teams evaluate that risk earlier. It brings together disease models, target genetics, multi-omics, preclinical evidence, literature, and historical successes and failures, then uses AI and statistical models to generate an explainable Drug Success Score. Our goal is simple: help researchers, biopharma teams, and investors focus resources on therapies and targets with stronger evidence for success. We’d love to hear from the Product Hunt community: What signals would you want to see before making a major drug-development investment?