Molecule GEN
AI‑driven platform accelerating drug discovery cycles
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Overview
Molecule GEN leverages proprietary AI and biophysics‑informed models to generate target‑aware candidate molecules and predict key properties such as ADME and toxicity. The platform integrates virtual screening, de novo molecule generation, and lead optimization into a unified SaaS workflow, reducing reliance on traditional trial‑and‑error approaches. It is positioned as a one‑stop solution for computational drug discovery tasks across chemists, biologists, and AI researchers. Molecule AI’s multidisciplinary team reinforces scientific rigor in its model development and deployment.
Who It's For
Pharmaceutical companies, Biotechnology firms, Research institutions, Computational chemists
Key Strengths
AI‑accelerated discoveryEnd‑to‑end workflowsPredictive molecular analyticsCloud‑based SaaS platform
Primary Use Cases
AI‑driven de novo molecule generation
Virtual screening of compound libraries
ADMET and toxicity prediction
Lead optimization and refinement
Technical Specifications
Supported AI Models
Proprietary deep learningGenerative AI
Deployment Methods
Cloud
Supported Languages
English
Company Information
Location
Delhi, India
Company Size
2-10 employees