Our integrated strategy, depicted in Figure , combines ML with automated HT screening to streamline and accelerate the discovery of polar cocrystals. This insight revealed hidden patterns that guided the selection and design of new cocrystals.We selected 20 molecules based on multicriteria of 20 fingerprint similarity screening, ML prediction for cocrystal formation, and the HOMO-LUMO energy gap as key features. After testing cocrystallisation in 20 different solvents, this approach led to the discovery of 16 previously unknown organic cocrystals, including 8 new structures with polar symmetry, within a timescale of just six weeks. Remarkably, the proportion of polar cocrystals identified in our study (50%) is over three times the statistical frequency (13.9%) reported in the 25 CSD. These results underscore the effectiveness of our methodology as a transformative tool in discovering functional organic materials tailored for applications across advanced fields. By accelerating the development of next-generation cocrystal-based technologies, our approach offers a promising pathway for innovative material discovery and advancement.