<?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/11123ba18b3a46c492e1d85cf01dad75&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/11123ba18b3a46c492e1d85cf01dad75-eb9a9b4452af0840.gif</thumbnail_url><duration>482.457</duration><title>Zenprexi Bio-Risk™: From Fatigue Detection to Automatic Safety Intervention</title><description>In this video, I introduce Zymprexy Biohazard Risk, a solution designed to help workers&apos; compensation carriers prevent claims before they occur. Our Cognitive Adherence Risk Index, or carry score, ranges from 0 to 100, with higher scores indicating safer conditions. By using real-time heart rate variability data from a Polar Verity Sense sensor, we can detect cognitive fatigue and trigger timely interventions. Our model aims for a 15 to 20 percent improvement in loss ratios, translating to significant savings for carriers. I&apos;m currently raising $1.5 million in a pre-seed round and would love to discuss this further.</description></oembed>