<?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/e16fb0b2f21844b599224d4c0151bfea&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e16fb0b2f21844b599224d4c0151bfea-79eb4a23fc33ea14.gif</thumbnail_url><duration>359.189</duration><title>OutcomeCatalyst Private Equity Diligence </title><description>In this video, I demonstrate a private equity due diligence use case, highlighting the importance of analyzing unstructured documents alongside structured financial numbers to uncover risks that might not be immediately visible. I showcase our platform&apos;s ability to connect these documents and provide insights, such as recommending a purchase price adjustment of $2.7 million to $4 million based on risk assessments like customer concentration. I emphasize that while our tool enhances the due diligence process, it doesn&apos;t replace the need for thorough analysis. I encourage you to consider how this approach can improve your own due diligence efforts.</description></oembed>