Quantitative pharmacology relies on complex computational models, but the process of building and validating these models is often slowed down by manual literature reviews and data extraction. Researchers face challenges in efficiently identifying relevant parameters, extracting data from tables and plots, and replicating existing models.

This startup offers an AI-powered co-pilot designed to accelerate quantitative pharmacology workflows. The platform uses large language models to automate key steps in model development, including multi-source parameter extraction, table and equation extraction from publications, and plot digitization. By streamlining these tasks, the co-pilot enables researchers to explore biological mechanisms more efficiently and replicate models with greater speed and accuracy.

AI-driven parameter extraction from scientific literature

Automated table and equation extraction

Plot digitization capabilities

Biological mechanism exploration tools

Model replication functionalities

Integration with existing modeling software

The primary target audience includes quantitative pharmacologists, modelers, and researchers in the pharmaceutical industry and academia involved in drug development and computational biology.