
Ibadan, 31 October 2025. – The Colombian National Unit for Disaster Risk Management (UNGRD) and OroraTech have entered a new partnership to strengthen the country’s National Disaster Risk Management System through a national wildfire detection program with satellite technology.
The agreement marks the start of a national pilot program that uses OroraTech’s Wildfire Solution (WFS) platform, which combines thermal satellite imagery and AI-driven analytics to detect and monitor wildfires nearly in real time.
By offering continuous surveillance of wildfire activity across Colombia, the program thus aims to protect critical ecosystems, improve emergency response times, and reduce risk for Colombian communities threatened by fire.
“With this partnership, Colombia strengthens its risk knowledge capabilities through investment in a modern wildfire detection and monitoring infrastructure that will help protect our population, environment, and biodiversity.”
“This system enhances the work of institutions by enabling early threat identification and more timely response, even in the most remote areas of the country,” said Ana Milena Prada, Deputy Director for Risk Knowledge at UNGRD.
Colombia is the second most biodiverse country in the world, with nearly half its land area located in the Amazon rainforest. Because of this, early wildfire detection is vital for preserving endangered species, native forests, and the country’s natural heritage.
“We are protecting the Amazon rainforest for the future in ways that weren’t possible before deploying our technology,” said Martin Langer, CEO and CTO of OroraTech. “We are supporting and partnering with UNGRD to roll out our capabilities nationwide, marking a milestone in wildfire management for Latin America.”
OroraTech’s WFS will subsequently serve as a centralized national platform, delivering actionable alerts to Colombian emergency services, park rangers, and government agencies. Meanwhile, over 700 National Disaster Risk Management System members have trained to use the platform.







