Argentine entrepreneur Franco Rodríguez Viale created an artificial intelligence platform that detects forest fires faster than existing NASA tools [1].
Early detection of wildfire ignition points is critical for emergency services to prevent small fires from becoming uncontrollable catastrophes. By reducing the time between ignition and notification, the system allows fire-protection agencies to deploy resources more efficiently.
Rodríguez Viale, 22, founded the startup Satellites on Fire [1]. The platform integrates satellite data, ground sensors, and drones with AI to monitor high-risk areas. According to reports from April 2026, the system can detect fires 35 minutes before NASA's systems [2]. Other reports suggest the technology can identify ignitions within seconds [2].
The startup has already expanded its reach beyond South America. The system currently operates in more than 20 countries, including the U.S. state of California [1].
To fund the development and scaling of the technology, the company raised US$2.7 million [4]. The integration of multiple data streams, ranging from orbital imagery to local sensors, allows the AI to filter out false positives and pinpoint the exact coordinates of a fire.
Rodríguez Viale said the goal is to anticipate environmental catastrophes. By providing a faster warning system, the platform aims to reduce the total acreage burned during wildfire seasons and protect biodiversity, and human settlements [1].
“The system can detect fires 35 minutes before NASA's systems.”
The emergence of private, AI-driven monitoring tools suggests a shift toward decentralized environmental surveillance. While government agencies like NASA provide global baseline data, specialized startups can offer the granular, real-time speed necessary for tactical firefighting. If these tools are adopted globally, the window for effective intervention in wildfires could shrink significantly, potentially saving thousands of hectares of forest.
