A stealthy Seattle startup called TerraByte AI is unveiling a software platform that uses artificial intelligence to sift through real-time satellite data for geospatial gems.
TerraByte’s “Earth Search Engine” analyzes streams of satellite imagery, recognizes features of interest and connects the dots through natural-language queries. The platform’s key advantage is that its data set doesn’t have to go through the laborious, expensive process of manual annotation.
“We’re just using self-supervised learning techniques to essentially understand the pixels without having to manually annotate it,” CEO and co-founder Rishi Madhok told me.
“There are many applications that you can do, like identifying power-line segments, finding parking lots near highways without EV charging stalls, watching container ships entering port,” he explained. “If you want to monitor the Strait of Hormuz, you can use our models to do that. Deforestation areas, open-pit mining in Arizona — all of these are very different concepts, but our model is able to understand them because it’s a foundational model.”
TerraByte is laying out its approach this week in Huntsville, Ala., at an ESA-NASA workshop on AI models for Earth observation.