Rethink Site Selection. Our AI Model Beats Traditional Choices 90% of the Time

Our goal was to develop a modular, AI-driven platform that integrates diverse data sources (RWD, clinical trials databases, external datasets) to recommend trial sites based on enrollment potential, diversity scores, and historical success. The solution includes supervised ML models, automated evaluation pipelines, and an interactive dashboard used by over 70 decision-makers in Clinical Operations