Loft Orbital Tests NASA JPL AI on Spacecraft, Eyes 10-Satellite Altair Network
Updated
Updated · SpaceNews · Jun 23
Loft Orbital Tests NASA JPL AI on Spacecraft, Eyes 10-Satellite Altair Network
3 articles · Updated · SpaceNews · Jun 23
Summary
June tests put NASA JPL’s FAME AI software onto a Loft Orbital spacecraft, marking an in-orbit trial aimed at improving Earth science monitoring.
The software is designed to automate “tip-and-cue” observations by analyzing imagery onboard and directing other spacecraft to inspect targets, instead of downlinking large datasets for ground review.
Loft said the effort only recently became practical because smaller high-performance AI models and satellite hardware can now process images in real time within spacecraft computing limits; more tests are planned in 2027 and 2028.
The company envisions an always-on “patrol mode” that can rapidly flag wildfires, marine pollution and other events through intersatellite links, with potential security and intelligence uses as well.
That concept fits Loft’s planned Altair constellation of 10 satellites, which would combine multiple sensors, edge computing and crosslinks to speed commercial and government response.
As AI-powered satellites build a real-time global watch, who decides what they see and share?
With data centers now launching into orbit, could this new space cloud challenge Earth’s tech giants?
When an orbital AI makes a critical decision alone, how can we be sure it’s the right one?
Real-Time Earth Insights: The FAME Project’s AI Breakthroughs and the Rise of Autonomous Satellite Constellations
Overview
In June 2026, the Federated Autonomous MEasurement (FAME) project, a collaboration between Loft Orbital and NASA’s Jet Propulsion Laboratory, marked a major breakthrough by enabling an Earth observation satellite to autonomously identify features in orbit using a vision-language model. This leap forward allows satellites to process and react to events without direct human intervention, supporting NASA’s Earth science goals and creating a scalable way to integrate government AI onto commercial satellites. The technology rapidly detects critical environmental events, such as wildfires or marine pollution, and provides swift information for timely responses.