Every tool applies established mathematical frameworks — AI amplifies the analysis, it never replaces the underlying science.
Enter dissolution data from 2–5 prototypes. The tool automatically fits six release kinetics models, identifies your dominant mechanism, and uses that understanding to suggest the next composition — with specific excipient amounts and a predicted dissolution profile.
Calculate f1 difference factor and f2 similarity factor between dissolution profiles for bioequivalence and formulation bridging assessments — with automatic FDA and EMA guideline compliance checks.
Generate statistically sound experimental designs for formulation development — full factorial, Box-Behnken, central composite, and D-optimal designs based on your excipient constraints and critical quality attributes.
Predict drug product shelf life by fitting Arrhenius kinetics to degradant data from accelerated and intermediate ICH stability conditions. Extrapolates to long-term storage temperature to estimate time to specification failure per ICH Q1A(R2) and Q1E.