Technosylva builds AI-driven wildfire and extreme weather risk mitigation solutions. Founded in 1997 and headquartered in La Jolla, California, with operations in León, Spain, the company develops models that integrate climate, vegetation, topography and human activity data to predict and simulate fire behaviour across risk levels and geographies. Its platform performs over one billion daily wildfire simulations and supports the management of more than 20,000 fire incidents a year.
Technical work spans AI and machine learning, wildfire behaviour modelling and simulation, extreme weather risk modelling, climate data analytics and geospatial and topographic analysis. The engineering problems are large-scale and data-intensive: fusing heterogeneous environmental datasets into predictive models, and running simulation workloads at a rate measured in billions per day.
Customers include electric utilities, fire agencies and insurance firms across 11 countries. The company has operated for more than 25 years and describes its approach as science-based, with the stated aim of protecting lives, land and infrastructure through actionable intelligence on wildfires and extreme weather.
