<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[GeoX Innovations]]></title><description><![CDATA[GeoX delivers AI-powered geospatial property intelligence for P&C insurance: 40+ attributes like roof age and vacancy across 160M US properties data.]]></description><link>https://www.geox.ai/blog</link><generator>RSS for Node</generator><lastBuildDate>Fri, 31 Jul 2026 10:24:50 GMT</lastBuildDate><atom:link href="https://www.geox.ai/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[What Today's Property Data Misses About Compound Fire Exposure]]></title><description><![CDATA[Property risk doesn't exist in a vacuum. But our industry often scores it like it does. When fire exposure gets reduced to a single binary flag — in the zone or out of it — we lose the compounding variables that actually drive catastrophic losses. A property can sit in a “moderate” fire zone and still carry extraordinary exposure. Another property can sit in a “high” zone and be well-protected. The difference lies in the layers, and most data tools don't go there. As the property catastrophe...]]></description><link>https://www.geox.ai/post/what-today-s-property-data-misses-about-compound-fire-exposure</link><guid isPermaLink="false">6a5dcb3507012931ee1808a1</guid><pubDate>Mon, 20 Jul 2026 07:24:18 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7c5db8_a2e45cb1f05f480ba86ebbbdc5143696~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Romi Derzie</dc:creator></item></channel></rss>