PROVEN TRACK RECORD
Trusted by Leading Biotech Companies
End-to-end computational pipeline from target identification to clinical candidates. De novo design, virtual screening, lead optimization, and ADMET prediction powered by 37+ production modules.
Our integrated AI platform guides molecules through every stage of discovery, reducing timelines from years to months.
Production-grade modules benchmarked against industry-leading platforms. Peer-reviewed at AAAI, NeurIPS, Stanford.
Screen millions of compounds with ultra-fast molecular docking. AutoDock Vina, Glide, and proprietary ensemble methods for binding affinity prediction.
Generate novel molecules optimized for target binding. Fragment-based design, scaffold hopping, and multi-objective generative models.
State-of-the-art protein structure prediction for novel target structures. MSA generation, confidence scoring, and quality validation for docking-ready models.
GPU-accelerated MD simulations with GROMACS and OpenMM. Binding stability, conformational sampling, and free energy calculations.
Comprehensive druglikeness profiling: solubility, permeability, metabolism, clearance, and hERG liability. Lipinski, Veber, and PAINS filtering.
Multi-parameter optimization balancing potency, selectivity, PK properties, and synthetic accessibility. Pareto frontier analysis for decision making.
Request a custom discovery report tailored to your therapeutic target. Turnaround: 7-14 days.