Platform Performance & Validation
Our autonomous AI agents deliver unparalleled speed, efficiency, and accuracy in drug discovery and repurposing. Below is a summary of our platform's validated performance metrics.
🚀
90%
Reduction in Early-Stage Discovery Time
💰
85%
Decrease in Preclinical Costs
🎯
75%
Improved Hit-to-Lead Success Rate
🧪
100k+
Compounds Screened Daily Per Target
Model Accuracy & Validation
Accuracy is paramount. Our models are rigorously tested via retrospective analysis against large-scale, public datasets to prove their predictive power without the cost of new lab experiments.
Toxicity Prediction Accuracy
Repurposing Hypothesis Validation
ADMET Prediction Correlation
Binding Affinity Prediction (MAE)
Clinical Trial Outcome Prediction
Lead Optimization Success
Drug Repurposing Agent Performance
Time to Candidate Identification
Cost Savings vs. Traditional R&D
Success Rate in Preclinical Models
Drug Discovery Agent Performance
Novel Candidate Generation
Screening Efficiency
Target-to-Candidate Accuracy
Cross-Validated with Global Standards
Our AI's predictions and hypotheses are continuously validated against real-world data from leading public and private databases, ensuring our results are not just fast, but also scientifically sound and reliable.
PubChem •
ChEMBL •
DrugBank •
PDB •
UniProt •
ClinicalTrials.gov