This Marie Skłodowska-Curie Individual Fellowship project, awarded to Dr. Alex Blokhuis, aims to support Europe’s re-shoring of active pharmaceutical ingredient (API) production by developing a novel method to extract the structure of chemical reaction networks (CRNs) directly from experimental time-course data. By combining power-law modeling with continuous-flow reactors, KENA will enable faster, greener optimization of multi-step synthesis processes, bridging experimental chemistry with AI tools for smarter drug manufacturing.