Evogene (EVGN) announced the completion of its generative AI foundation model, version 1.0, for small molecule design, developed in collaboration with Google (GOOG) Cloud. The new model expands the existing capabilities of ChemPass AI, Evogene’s tech-engine for small molecule discovery and optimization, by addressing one of the core challenges faced by both the pharmaceutical and agriculture industries: identifying novel small molecules that meet multiple complex product criteria. Generative AI models support companies in their small molecule discovery process by enabling the simultaneous consideration of multiple complex product requirements, all while creating truly novel molecular structures. Developed in-house by Evogene’s algorithm teams, this proprietary foundation model marks an advance over traditional generative AI. Internal computational analysis shows that it delivers approximately 90% precision in successful and precise, novel molecule designs vs. approximately 29% in traditional GPT AI-model. The model was trained and deployed using Google Cloud’s advanced AI infrastructure. Evogene also announced that development is already underway on version 2.0 of its generative AI foundation model.
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