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In November 2025, the U.S. House Oversight Committee released thousands of pages of documents relating to the Jeffrey Epstein investigation. The material includes large volumes of emails, dates, and references to individuals, all published as primary source documents. In this video series, we explore how GRAPHT can be used to analyse this unstructured data. Part III focuses on people. It's important to mention that names seen in the visuals are simply individuals mentioned in documents. This does not indicate any signs of wrongdoing. Care was taken when recording this video to not focus on the survivors or target any individual specifically. The video demonstrates that GRAPHT can quickly find the relevant information, without being provided a POI (Person of Interest). Part I can be found here: • GRAPHT Analyses: THE EPSTEIN FILES - Part I Part II can be found here: • GRAPHT Analyses: THE EPSTEIN FILES - Part II 📅 Book a demo now - https://grapht.app/contact/#book-a-demo 📩 Contact us - https://grapht.app/contact/ 📰 Subscribe to our newsletter - https://grapht.app/contact/#newsletter 🌐 https://grapht.app/ 👩👩👧👦 / graphtapp 🎥 / @graphtapp #aianalytics #networkanalysis #frauddetection #documentanalysis #realworlddata #publicrecords #networkanalysis #osint #visualanalytics #investigativeanalysis #llm #unstructureddata #appliedai