Powered by NVIDIA GPU computing through the Inception Program.
DSC-3 maps molecular optimization to Ising models, solving conformational search problems 1,000x faster than traditional methods on commodity NVIDIA GPUs.
Molecular conformation optimization involves astronomically large search spaces where energy landscapes have millions of local minima.
Optimal clinical trial design requires balancing patient cohorts, dosing schedules, endpoints, and regulatory requirements simultaneously.
Screening billions of candidate compounds against multiple target criteria demands optimization that scales beyond brute-force enumeration.
Map molecular energy landscapes to Ising models. Explore global minimum-energy conformations across millions of rotational degrees of freedom.
Binding affinity optimization as a combinatorial problem. Score and rank docking poses across large binding sites at GPU speed.
Multi-property optimization across potency, selectivity, and ADMET profiles. Balance competing drug-likeness constraints simultaneously.
Optimize patient cohort allocation, site selection, and dosing strategies as QUBO problems. Reduce trial duration while maintaining statistical power.
Score and rank candidate compounds across multiple criteria using multi-solver optimization. Proprietary compression reduces search spaces by orders of magnitude.
Reaction condition optimization and yield maximization. Solve multi-parameter synthesis problems for cost-effective scale-up.
| Problem | DSC-3 (RTX 5070 Ti) | Simulated Annealing | Genetic Algorithm |
|---|---|---|---|
| 500-atom conformation | 28ms | 12s | 8.4s |
| 1,000-atom conformation | 64ms | 2.1min | 1.4min |
| 2,000-atom conformation | 180ms | timeout | timeout |
Submit molecular structures via REST API or Python SDK. Define energy functions, constraints, and optimization targets in standard formats.
DSC-3 maps molecular interactions to spin-glass models. The 7-solver ensemble searches energy landscapes on GPU hardware.
Receive optimized conformations with energy scores, topological stability analysis, and cryptographic verification proofs.
AxiomVault.io runs DSC-3's optimization engine to generate AI-predicted drug-target binding affinities at scale. Every prediction is enriched with 23-property ADMET profiling and anchored to a blockchain-verified proof chain.
Powered by NVIDIA GPU computing through the Inception Program.