Case Study: Quiron Digital achieves 30% more accurate wildfire risk zoning with Spire Weather

How Spire Weather unlocks critical data for wildfire risk evaluation index

Quiron Digital, a company that provides remote and automated monitoring of crops and forests and delivers fire risk monitoring for prediction and mitigation, needed to precisely forecast 7‑day wildfire risk at very high spatial resolution (10 m to 1 m) anywhere on the planet. Their proprietary AI model combines geographic and vegetation variables with historical weather and medium-range forecasts, but Quiron’s challenge was obtaining consistent, high‑quality weather data in remote and under‑observed locations — a gap addressed by Spire Weather.

Spire delivered historical weather data and medium‑range forecasts powered by its proprietary radio occultation, enabling Quiron Digital to produce high‑resolution wildfire risk zoning and feed more accurate inputs into their AI. Using Spire’s data, Quiron achieved a >30% increase in fire‑risk prediction accuracy and more than 90% wildfire risk correlation, significantly improving resolution and model performance in remote areas.

Quiron Digital

Diogo Machado

CMO