Partnership for Active Molecule Development with ADAPT

We propose industrial and academic partnerships to discover and optimize active molecules using ADAPT, an AI-native platform that unifies semantic literature mining, target/ligand 3D modeling, predictive ADMET, multi-objective optimization, and reactivity-aware retrosynthesis within automated, traceable workflows. Compared with traditional, fragmented tools and manual curation, ADAPT shortens iteration cycles, lowers cost, increases hit-to-lead conversion, and improves decision quality via knowledge-graph reasoning and in-silico validation, with seamless handoff to robotics/LIMS. Engagement models include co-development or sponsored research with clear IP/data governance, applicable to pharma, nutraceuticals, cosmetics, and agrochemicals. We are based in Salerno at the University of Salerno, enabling close academic–industry collaboration and rapid project execution.