What We Do

Wildfire Intelligence delivers AI-powered analytics to understand, forecast, and mitigate wildfire risk—at scale.

We combine machine learning, environmental science, and operational insight to help agencies, researchers, and decision-makers gain clarity from complex fire data. 

Our tools go beyond forecasting: we uncover the patterns behind fire behaviour, map risk environments, and quantify the impact of prevention.

 Forecasting & Alerts

Real-time wildfire intelligence when and where it matters.

• Sub-hourly risk scores
  Machine learning models generate location-specific fire danger indices, updated sub-hourly, using live weather and fuel data.
  
  

• Fire growth & spread projections
  Predictive models estimate potential fire perimeter expansion based on forecast conditions—helping you prepare ahead of escalation.
  
  

• Multi-channel delivery
  Access forecasts via API, dashboards, or SMS/email alerts, seamlessly integrated into operational workflows.

Analytics & Research

Reveal the hidden structure behind wildfire behaviour.

• Fire-environment typology
  We apply unsupervised data analytics to weather, fuel, and topographic data to define distinct fire-prone environment classes, informing land-use, planning, and mitigation policy.
  
  

• Growth & shutdown drivers
  Our models quantify which environmental factors accelerate or stop wildfire spread, offering data-driven thresholds for suppression and planning.
  
  

• Fire persistence analysis
  Explore the meteorological and climatic conditions that allow fires to persist beyond typical weather windows.
  
  

• Economic & carbon impact modeling
  We estimate avoided suppression costs and CO₂-equivalent emissions under different risk scenarios to support funding and policy decisions.
  
  

Built for impact

Whether you’re a national agency, a local brigade, a climate researcher, or a utility company, our tools help you Act faster, Allocate smarter, Plan further ahead, Communicate risk clearly.