The Axiom Discovery Marketplace is a continuously growing library of neural network-generated molecular candidates, each scored for drug-target binding affinity and mathematically verified before publication.
Skip months of initial screening with pre-scored candidates ready for wet-lab validation.
Spectral geometry and random matrix theory checks ensure every prediction meets integrity thresholds.
Dual-hashed, on-chain anchored provenance for every result — tamper-proof audit trail.
An autonomous pipeline adds verified predictions around the clock — the library never stops expanding.
From neural generation to blockchain-anchored publication in four autonomous steps.
Neural network-guided exploration of chemical space produces novel molecular candidates.
Each candidate is scored for predicted drug-target binding affinity using the Axiom model.
Spectral analysis, dual-hash integrity, and blockchain recording confirm model correctness.
Verified predictions are classified by tier and category, then published for researchers.
Neural network-guided exploration of chemical space produces novel molecular candidates.
Each candidate is scored for predicted drug-target binding affinity using the Axiom model.
Spectral analysis, dual-hash integrity, and blockchain recording confirm model correctness.
Verified predictions are classified by tier and category, then published for researchers.
Every prediction is classified by molecular profile to help you find the right candidates.
Molecules following medicinal chemistry guidelines, most likely to become oral drug candidates.
Larger molecules suited for targeting protein-protein interactions and complex binding sites.
Small building blocks for fragment-based drug design and lead optimization campaigns.
Pre-scored molecular predictions accelerate workflows across the drug discovery pipeline.
Drug Discovery Teams
Academic & Industry Labs
Early-Stage Companies
Universities & Institutes
Filter, sort, and explore the full prediction dataset.
Total Predictions
Molecular structures generated and scored by the Axiom neural network.
Verified
Passed K3 spectral geometry and Wigner-Dyson random matrix theory verification.
Avg Binding Score
Mean predicted binding affinity across all verified molecules (0-1 scale).
Molecule Categories
Drug-like, peptide-like, and fragment classifications.
Access to Axiom is granted via Discovery Programs and Institutional Subscriptions.