India, July 8 -- New materials are not created overnight; their development is often a slow, iterative process and in most cases, the work has to stop for reasons beyond the control of even the brightest minds in material science.

Put simply, scientists spend months reading research papers, designing experiments, testing formulations and analysing failures before arriving at a commercially viable product. Even then, a promising discovery may never reach production if it cannot be manufactured economically or integrated into existing factory infrastructure.

Mumbai-based deeptech startup Novyte Materials is betting that AI can reduce years of industrial R&D into months by automating repetitive scientific tasks, but beyond leveraging AI fo...