PARIS – KaleidEO, a subsidiary of SatSure Analytics India, has shown that its deep-learning algorithms can analyzing imagery in orbit, the company announced Sept. 13.
Since Bengaluru-based KaleidEO has yet to launch its own satellites, the company demonstrated this capability by analyzing sub-meter resolution imagery gathered by Uruguay-based Satellogic and processing data with in-orbit computers operated by Australia’s Spiral Blue.
KaleidEO’s edge-processing algorithms are designed to detect clouds, roads, buildings and bodies of water. Additional algorithms compare images to detect changes.
“This capability will enable us to address national security needs, real-time disaster response by governments and revolutionize the way we collect, process, analyze and downlink imagery and insights from satellite data for the benefit of all,” Rashmit Singh Sukhmani, SatSure co-founder and chief technology officer, said in a statement. Sukhmani added that KaleidEO is the first Indian company to demonstrate edge processing in orbit.
KaleidEO, founded in 2022, plans to launch four Earth-observation satellites equipped with edge processing in 2025.
The latest edge-processing demonstration “reflects our commitment to innovation and our dedication to revolutionizing the space data analytics domain,” Arpan Kumar Sahoo, KaleidEO chief operating officer, said in a statement. “With this technological advancement, we’re not only propelling India onto the global stage but also empowering governments and industries to make informed decisions by increasing the value of information generated per bit.”
KaleidEO plans to begin aerial testing next month of its optical and multi-spectral sensors. Successful tests will lead to satellite and payload manufacturing.
In August, SatSure announced it closed a $15 million Series A funding round “a major portion of which is going towards capitalizing KaleidEO,” according to the news release.
Potential applications for KaleidEO imagery and insights include agriculture, finance, banking, construction and commodities.