<?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/aeb79cd3ed494ee2a1e3b72681757100&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/aeb79cd3ed494ee2a1e3b72681757100-26d5fbcb177a8872.gif</thumbnail_url><duration>118.571</duration><title>Aquascan Demo: Rainwater Lead Scoring and Automation</title><description>In this quick Aquascan demo, I show how our AI intelligence platform scans buildings in a city and state, computes roof square footage, and creates a 0 to 100 composite score for lead quality based on your requirements. You can click a building for details, and view an intelligence report for deeper research. I also show an optional customized automation that runs a fully autonomous prospecting pipeline using the Perplexity API, then loads qualified leads into the Leads Manager for campaign requests and outreach strategy. I set a balanced configuration and ran the scan, then it evaluated and ran deep research on buildings that crossed the threshold.</description></oembed>