Specialized solution providing state-of-the-art machine learning (ML) models for small-molecule-based drug discovery prediction. Co-developed and delivered through the Q-Suite environment, Q-Models accelerates the filtering and optimization of novel drug candidates by providing rapid, quality-controlled predictions of critical ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) properties.
This offering ensures that scientists and computational chemists can access high-quality, pre-validated models for large-scale deployment directly within their Q-Scientist or Q-Discover workflows, reducing reliance on costly and time-consuming experimental testing
Seamless Q-Suite Integration
Q-Models is designed to be a core, consumable service across the Quantori ecosystem:
Q-Discover
Acts as the foundational predictive engine for AI-Driven Molecular Design and Small Molecule Optimization workflows
Q-Scientist/Q-Flow
Models are exposed as callable tools, enabling their inclusion in fully automated Agentic AI workflows and virtual screening pipelines
Q-Portal
Access, usage tracking, and governance (including user-level consumption and model cost) are securely managed and monitored