Engineered for Compliance with Global Regulatory Guidelines
De-Risk Your Pipeline Before the Lab
Traditional pharmaceutical development relies on expensive, late-stage empirical testing.
Unforeseen nitrosamine formation, unexpected oxidative degradants, or "Cohort of Concern" structural alerts can trigger clinical holds and cost millions. MolWard shifts risk assessment to the earliest stages of in silico design.
Our Platform
MolWard Degradation Predictor
Computationally simulate hydrolytic, oxidative, photolytic, and thermal stress. Instantly map complete degradation pathways and generate MS fragmentation profiles to accelerate your SIM development.
MolWard M7 Asessment
Execute a compliant dual-methodology (Expert Rule + Statistical QSAR) hazard assessment. Automatically calculate FDA CPCA nitrosamine scores, acceptable intake limits, and extract empirical read-across data.
No "Black Box" AI
Just Rigorous, Transparent Chemistry
77%
Cross-Validated Accuracy
0.858
ROC-AUC Discriminatory Power
6,700+
Curated Empirical Ames Records
We provide the mechanistic transparency regulatory agencies demand.
Every MolWard prediction is backed by Principal Component Analysis (PCA) for Applicability Domain verification and SHAP feature interpretability to prove why a classification was made