Chempass Ai
Tailor-Made Generative Ai Molecular Design
ChemPass AI, Evogene’s proprietary generative AI tech-engine, bridges advanced AI molecule design with practical product outcomes across pharma and agriculture, helping translate scientific potential into commercial success.
Advanced Discovery & Optimization
Based on 38B molecules, ChemPass AI foundation model redefines molecular innovation – enabling the generation of novel, highly potent and synthesizable compounds tailored to specific biological and chemical requirements.
By replacing the slow, iterative trial-and-error process of optimizing conflicting properties with a streamlined, AI-first workflow that takes multiple parameters into account simultaneously, ChemPass AI empowers product development to move faster, smarter, and further.
Three Core Advantages
Multi-parameter optimization
Unlike conventional AI engines, ChemPass AI optimizes potency, selectivity, stability, toxicity, scaffold design, ADME, and synthesizability simultaneously, yielding molecules with superior performance and real-world viability.
Designed for Potency & Precision
By fusing advanced AI design with targeted experimental validation , ChemPass AI produces molecules with higher predicted efficacy and binding precision.
Novelty Beyond Existing Libraries
Built on a 38 billion-molecule chemical universe, ChemPass AI generates novel structures that give a decisive IP and competitive edge in pharma and ag-chem markets.
Addressing the multi-parameter optimization
- Potency Binding Affinity
- Synthetic Accessibility
- Solubility
- Chemical Stability
- IP/Novelty
- Molecular Weight
- Lipophilicity (LogP)
- Metabolic Stability
- Hydrogen Bond Donors/Acceptors
- Scaffold
- Selectivity
- ML Models (QSAR)
- Potency Binding Affinity
- Synthetic Accessibility
- Solubility
- Chemical Stability
- IP/Novelty
- Molecular Weight
- Lipophilicity (LogP)
- Metabolic Stability
- Hydrogen Bond Donors/Acceptors
- Scaffold
- Selectivity
- ML Models (QSAR)
Each molecule must overcome a complex web of scientific and commercial challenges to become a real product.
DRIVING HIGHER CUMULATIVE PROBABILITY OF SUCCESS
chempass ai
- Literature search, data preprocessing and target modeling
- Identify potential hits using PointHit
- Identify elaborated analogs using ActiveSearch
- Generate novel leads using LeadOptGPT
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Target Preprocessing
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Hit Screening
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Hit-To-Lead
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Lead Optimization
partner / internal expertise
- Target elucidation and biological interpretation
- Purchase hits and test activity and selectivity
- Purchase analogs and test activity and selectivity
- Synthesis of novel leads and validation
This closed-loop system dramatically shortens time-to-lead, lowers development costs, and delivers highly optimized molecules ready for downstream validation and commercialization.
Technological Collaboration with google cloud
Scales real-world innovation across industries – from AI infrastructure to practical molecular design.
GOOGLE CLOUD X EVOGENE
accelerating ai-first molecule discovery
Together, Evogene and Google Cloud achieved up to 3× improvement in model accuracy, with optimization precision reaching 90%, compared to 29% in traditional GPT-based models.
BOAZ MAOZ
MANAGING DIRECTOR
GOOGLE CLOUD ISRAEL
“Evogene’s ChemPass AI showcases how deep scientific insight and Google’s AI infrastructure can accelerate innovation in drug discovery and agriculture.”