Vendor needs to provide rapid assessment machine learning software license service. The contractor shall provide brand name or equal AdMet software licenses, software updates and maintenance, ongoing training and technical support including reasonable telephone, web-based or e-mail technical support during license term. Provide accurate prediction of physicochemical properties of query chemical structures based on models widely accepted by independent researchers. Provide prediction of multiple critical pharmacokinetic parameters, including fraction absorbed, bioavailability, and a mechanistic volume of distribution at steady state using in silico inputs only. Provide prediction of metabolism by multiple isoforms displayed on metabolic trees. Provide also prediction of key metabolism kinetic parameters (e.g., Km and Vmax) and inhibition potentials for 5 isoforms. Provide prediction of glucuronidation metabolism. Provide prediction using artificial neural network ensemble models of mutagenicity with and without bioactivation, chromosomal aberrations, skin and respiratory sensitivity, and endocrine disruption. Allow users to create models with an option to choose from multiple algorithms including artificial neural network, support vector machine, kernel partial least squares, and linear regression algorithm. Allow users to create customized rules to prioritize compounds based on the combination of the predicted risks for absorption, metabolism and toxicity. All the questions must be submitted no later than February 12, 2026.