Google just opened the floodgates for enterprise Earth AI access. The company rolled out Geospatial Reasoning - a Gemini-powered framework that connects weather, population, and satellite data automatically - while making Earth AI models directly available on Google Cloud for the first time. This marks Google's biggest push yet to commercialize its geospatial intelligence beyond consumer products.
Google is betting big that enterprises want to turn satellite data into business intelligence. The company's Earth AI platform, which has been quietly powering flood forecasts for over two billion people, just got its biggest expansion yet with new enterprise tools and cloud access that could reshape how organizations handle everything from disaster response to infrastructure monitoring.
The centerpiece is Geospatial Reasoning, a new framework that lets AI automatically connect different Earth AI models - weather forecasts, population maps, satellite imagery - to answer complex questions that previously required teams of analysts and months of work. "Instead of just seeing where a storm might hit, analysts can use Geospatial Reasoning to identify which communities are most vulnerable and what infrastructure is at risk, all at once," Google Research VP Yossi Matias explained in today's announcement.
The timing couldn't be better. Google's own crisis response during the 2025 California wildfires - providing alerts to 15 million Los Angeles residents - proved how valuable real-time geospatial intelligence can be. Now the company wants to package that same capability for paying customers.
What's really catching attention is who's already using it. The World Health Organization's Africa office is combining Earth AI's population and environment models with their own datasets to predict cholera outbreak risks in the Democratic Republic of Congo. That's the kind of life-or-death application that justifies enterprise AI spending.
Meanwhile, satellite imagery giants Planet and Airbus are using Earth AI to analyze the billions of pixels they capture daily. Planet focuses on mapping deforestation for customers, while Airbus helps utilities detect vegetation encroaching on power lines before outages occur. It's a classic AI play - taking tedious manual analysis and automating it at scale.
The insurance angle is equally compelling. Bellwether, a moonshot from Alphabet's X division, is using Earth AI to provide hurricane prediction insights for global insurance broker McGill and Partners. The goal: help clients pay claims faster so homeowners can rebuild sooner. In an industry where speed means everything after disasters, that's a clear competitive advantage.
