Evogene Ltd. (EVGN) has unveiled version 1.0 of its generative AI foundation model for small molecule design, created in partnership with Google Cloud.
This advanced model enhances the company's ChemPass AI platform by enabling the simultaneous generation of novel, patentable molecules that meet complex pharmaceutical and agricultural criteria—an approach that departs from the linear, conventional discovery methods that often limit innovation and IP protection.
The new AI engine delivers around 90 percent precision in designing effective, synthesizable, and patentable molecules, a major leap from the ~29 percent precision typical of standard GPT-based AI models. Trained on a massive dataset of 38 billion molecular structures and powered by Google Cloud's GPU infrastructure, this proprietary model supports both current ChemPass AI capabilities and future advancements.
Evogene CEO Ofer Haviv highlighted the significance of this breakthrough, stating that the foundation model allows ChemPass AI to generate novel compounds that open new IP territory and address long-standing hurdles in R&D for pharma and ag-chemicals. Google Cloud Israel's MD, Boaz Maoz, expressed pride in the collaboration, noting the synergy between Evogene's scientific expertise and Google's AI infrastructure.
Work is already underway on version 2.0, which will introduce enhanced multi-parameter optimization for better handling of therapeutic and agricultural constraints like toxicity, efficacy, and stability. Evogene invites potential partners from pharma and agri-tech to explore ChemPass AI for cutting-edge product development.
Tuesday EVGN is currently trading at $2.1401 or 89.3894% higher on the NasdaqCM.
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