Autonomous Satellites: AI's Impact on Space Observation

Autonomous Satellites: The New Era of Space Observation

An Earth observation satellite managed, for the first time, to find what it was looking for on its own, without the help of human analysts on the ground. This milestone, which happened in April, represents the pioneering use of a vision-language model in orbit. And this could radically change what space sensors are capable of.

Normally, satellites send large volumes of data to Earth, where analysts, with the help of machine learning or simply with their eyes, interpret the information. But Yam-9, a Loft Orbital satellite, did it differently. Using software developed by NASA's Jet Propulsion Laboratory, it was able to identify areas of interest in response to questions asked in natural language.

Gemma 3: Innovation in Orbit

The vision-language model, known as Google DeepMind's Gemma 3, was developed to operate on limited hardware, far from data centers. These models combine the understanding capabilities of large language models with image analysis. Researchers asked the model to classify data where the natural environment meets human development, and it managed to perform the task.

This demonstration is significant for two reasons. Soon, it could make space sensors much more efficient, performing an initial data triage in orbit and decreasing the amount of raw data that needs to be analyzed. In the future, this represents an important step toward running large-scale AI infrastructures in space.

Continuous Patrols in Space

Paul Lasserre, Loft's head of AI, stated that this technology opens doors for continuous patrols in space. With a VLM, it's possible to implement logic like "monitor this border and let me know when something suspicious happens." Loft designs its spacecraft as platforms for clients, operating more like infrastructure-as-a-service.

Yam-9, launched in the fall of 2025, is a precursor to the company's orbital AI projects. It features an Nvidia Jetson Orin AGX GPU, one of the leading chips used in space computing. Juan Delfa Victoria, technical lead of NASA JPL's AI group, led the development of NAVI-Orbital, which served as the foundation for the Gemma 3 VLM.