{"id":757128,"date":"2025-08-14T18:34:02","date_gmt":"2025-08-14T18:34:02","guid":{"rendered":"https:\/\/www.abnewswire.com\/pressreleases\/?p=757128"},"modified":"2025-08-14T18:34:02","modified_gmt":"2025-08-14T18:34:02","slug":"floodlight-launches-first-planetscale-ai-platform-for-instant-natural-hazard-risk-decisions","status":"publish","type":"post","link":"https:\/\/www.abnewswire.com\/pressreleases\/floodlight-launches-first-planetscale-ai-platform-for-instant-natural-hazard-risk-decisions_757128.html","title":{"rendered":"Floodlight Launches First Planet-Scale AI Platform for Instant Natural Hazard Risk Decisions"},"content":{"rendered":"

Austin, Texas –<\/strong> Floodlight<\/a> today announced the release of the first commercially available application that fuses generative AI with planet\u2011scale geospatial infrastructure to guide risk decision\u2011making for every major natural hazard, anywhere on Earth. Built on Google Cloud, the platform converts raw satellite imagery, climate projections, and asset\u2011level disclosures into actionable risk scores that can be queried as easily as a spreadsheet.<\/p>\n

“Until now, hazard analytics came in two flavors: global but vague, or precise but glued to a single county. We got tired of choosing,” said Josh Pitts, Floodlight’s co\u2011founder and CTO. “By teaching large language models to interpret petabyte\u2011scale Earth data in real time, we shrink months of GIS work into moments. If Mother Nature wrote patch notes, they would read like our API.”<\/p>\n

The application streams more than six petabytes of historical and near\u2011real\u2011time imagery from satellites and pairs it with AI\u2011optimized models trained on decades of catastrophe loss records. The result is a single source of truth for flood, wildfire, extreme heat, and wind exposure that updates continuously, requires no local hardware, and scales to any portfolio size. Users can drop coordinates, addresses, or shapefiles into the web interface or call a REST endpoint. Risk metrics arrive in seconds, ready for dashboards, regulatory filings, or underwriting rules.<\/p>\n

Early adopters include a European media company assessing their exposure across properties, and a Real Estate investment firm mapping vulnerability for every investment decision. In each pilot, analysts reported productivity gains of 60\u202fpercent or more, with no code changes to existing BI tooling.<\/p>\n

About Floodlight<\/strong><\/p>\n

Floodlight <\/a>is the definitive climate\u2011intelligence engine. Our platform ingests petabytes of satellite imagery and decades of hazard data, applies proprietary machine\u2011learning models, and delivers asset\u2011level insights in seconds. Investors, insurers, and regulators use Floodlight to surface hidden threats, quantify exposure in plain language, and act while others are still refreshing spreadsheets. Headquartered in Los Angeles and powered by Google Cloud, Floodlight converts the planet’s raw data into clear, actionable advantages for clients on five continents.<\/p>\n

Media Contact<\/span>
Company Name:<\/strong> Floodlight<\/a>
Contact Person:<\/strong> Josh Pitts
Email:<\/strong> Send Email<\/a>
Country:<\/strong> United States
Website:<\/strong> http:\/\/floodlightglobal.com<\/a><\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

Austin, Texas – Floodlight today announced the release of the first commercially available application that fuses generative AI with planet\u2011scale geospatial infrastructure to guide risk decision\u2011making for every major natural hazard, anywhere on Earth. Built on Google Cloud, the platform converts … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[450,409,404],"tags":[],"class_list":["post-757128","post","type-post","status-publish","format-standard","hentry","category-Australia","category-Energy-Environment","category-US"],"_links":{"self":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts\/757128","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/comments?post=757128"}],"version-history":[{"count":0,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts\/757128\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/media?parent=757128"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/categories?post=757128"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/tags?post=757128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}