Evogene Ltd. announced the successful completion of a significant milestone in its second collaboration with Google Cloud, marking the integration of agentic computational systems within Evogene's ChemPass AI™ platform. This milestone is designed to rapidly and efficiently identify key success requirements at the earliest stages of small-molecule development, with the goal of accelerating discovery timelines, improving scalability, and significantly enhancing the overall probability of success. The enhanced ChemPass AI™ engine, enabled by Google's Gemini models and Gemini Enterprise Agent Platform, is designed to enable earlier and deeper biological TPP profiling by a workflow of autonomous AI agents that integrate structural, biological, chemical and clinical data. The integration demonstrates how advanced computational systems can address challenges where requirements are traditionally evaluated only in later stages of development, aiming to allow research teams to anticipate downstream requirements and prioritize compounds with the highest development and commercial potential from the outset of the discovery phase.