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Every year, many cancer patients never learn about clinical trials that could help them — not because the trials don't exist, but because the information is fragmented, inconsistent, and difficult to search. This challenge delays over 80% of clinical trials and prevents more than 30% of eligible patients from accessing potentially life-saving treatments. Reesi is a web-based AI platform that brings structure and transparency to this landscape. Our technology uses large language models to read and harmonize clinical trial data from scattered sources such as registries, publications, and network databases. The AI extracts and normalizes complex medical parameters like biomarkers, therapy lines, and eligibility criteria, transforming unstructured text into a unified, searchable format. This allows healthcare professionals to identify relevant trials within seconds instead of manually reviewing documents.