End-to-end computational drug discovery platform. From target identification to lead optimization — powerful AI tools made accessible for every researcher.
Traditional computational platforms cost $500K–$2.6M annually, putting them out of reach for individual researchers and small labs.
Free tools like AutoDock and RDKit require extensive technical expertise to set up, integrate, and maintain effectively.
Over 100,000 researchers globally fall into the gap — needing more than basic tools but unable to afford enterprise solutions.
AI-powered analysis of disease pathways to identify and validate promising therapeutic targets.
Virtual screening of compound libraries with molecular docking and binding affinity predictions.
ADMET property analysis and molecular modifications to optimize lead candidates.
Accelerate your thesis research with professional-grade computational tools without the enterprise price tag.
Validate hypotheses faster and generate preliminary data for grant applications.
Enterprise-quality workflows scaled for academic budgets and smaller team sizes.
Breaking barriers to give researchers worldwide access to cutting-edge discovery tools.
We integrate established computational tools with AI-driven analysis to deliver reliable, actionable results.
Accurate protein structure predictions for target analysis
Industry-standard molecular property and docking calculations
Intelligent interpretation and decision-making support
Connected to PubChem, ChEMBL, DrugBank & more
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