<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/aa640ebf446a4dd69aa04e5ae44529a9&quot; frameborder=&quot;0&quot; width=&quot;1440&quot; height=&quot;1080&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1080</height><width>1440</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1080</thumbnail_height><thumbnail_width>1440</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/aa640ebf446a4dd69aa04e5ae44529a9-71e898c76776e7ba.gif</thumbnail_url><duration>370.114</duration><title>Enhancing Healthcare Pitch Deck Analysis</title><description>In this video, I walk you through our approach to LLM tooling at Virtue, specifically focusing on our healthcare pitch deck analyzer. I demonstrate how it compares new pitch decks with historical data, providing insights into investment highlights and technical assessments. We also discuss the backend processes that enable us to ask novel questions and drive analytical diligence at scale. I encourage you to think about how we can further develop our knowledge graph and improve our data integration.</description></oembed>