Indian edge computing startup SkyServe has successfully tested artificial intelligence (AI) models developed by NASA’s Jet Propulsion Laboratory (JPL) on a D-Orbit satellite. The AI models, designed under NASA’s New Observations Strategies Sensorweb, are aimed at near-real-time monitoring of environmental phenomena, including wildfires, floods, and urban heat islands, for scientific research and disaster response.
In March, SkyServe completed the testing of JPL’s AI models using its STORM edge-computing suite, which was deployed on a D-Orbit ION Satellite Carrier in low-Earth orbit. According to SkyServe founder and CEO Vinay Simha, the mission was successfully executed by uploading the software from a ground station and running the AI models onboard the satellite. “It’s a new way of Earth observation,” Simha told SpaceNews.
The AI models primarily focused on preprocessing and optimizing water and vegetation data, enhancing the efficiency of data transmission to Earth. The ability to integrate AI models across multiple sensor configurations requires advanced edge computing technology, which SkyServe provides.
SkyServe’s Chief Technology Officer Vishesh Vatsal highlighted the significance of the company’s platform in simplifying AI model deployment across various satellite systems. “Our technology ensures consistency and efficiency, bridging the gap between innovative AI models and diverse satellite hardware,” he said.
D-Orbit had earlier announced its plans to equip ION satellite carriers with SkyServe’s STORM technology. Similarly, Loft Orbital has installed the SkyServe edge computing system on its spacecraft. Another instance of SkyServe STORM technology was seen in December when it was launched as a hosted payload on a SatRevolution cubesat via India’s Polar Satellite Launch Vehicle.
Apart from STORM, SkyServe also offers Surge, a ground-based platform for developing and testing AI models, further solidifying its role in advancing Earth observation through AI-driven solutions.
