OroraTech is a Munich-based wildfire-intelligence company that combines its own thermal-imaging satellites with AI to give governments, utilities, and landowners an early warning system for fire. Spun out of the Technical University of Munich, OroraTech tackles a problem made steadily worse by climate change: wildfires are growing larger, faster, and more destructive, and the window between ignition and uncontrollable spread is often just minutes. The earlier a fire is detected, the cheaper and safer it is to fight, which is precisely where OroraTech focuses.
The company operates a growing constellation of small satellites equipped with thermal infrared sensors, purpose-built to spot heat anomalies that indicate new fires. Crucially, OroraTech does not rely on its own satellites alone; its platform fuses data from more than 35 sources, including public and commercial satellites, ground sensors, cameras, and weather feeds, then applies AI to filter false alarms and surface genuine ignitions quickly. This multi-source approach improves coverage and revisit frequency, two perennial weaknesses of space-based fire detection.
Beyond detection, OroraTech's product suite spans the full fire lifecycle. Its Wildfire Solution delivers continuous monitoring and alerts; Fire Spread provides real-time predictions of how a blaze will move so responders can prioritize; and Burnt Area uses high-resolution imagery for post-fire damage assessment. The company also offers land-surface-temperature products for broader climate and environmental applications. With more than 170 employees across five continents, OroraTech serves over 800 users in 25 countries.
OroraTech raised a roughly $14 million Series B round led by the BNP Paribas Solar Impulse Venture Fund, adding to prior funding as it expands its satellite constellation and customer base. The investment supports launching more thermal satellites and deepening its AI analytics. As fire seasons lengthen and intensify worldwide, OroraTech is building a vertically integrated, AI-driven layer of wildfire intelligence aimed at catching fires before they become catastrophes.