WindTL for Fire Agencies

Equip your team with real-time wildfire intelligence from the frontline to the command center.

The Challenge

Wildfire behavior is increasingly erratic. Firefighters need more than maps and manual updates — they need real-time, predictive tools that evolve with conditions in the field.

Most platforms are disconnected or delayed, relying on outdated weather inputs, static models, and siloed data sources. Fire agencies need situational awareness that adapts dynamically and works in low-connectivity environments — without requiring a GIS expert to interpret it.

How WindTL Supports Fire Response

WindTL is designed to support boots-on-the-ground decision-making and incident command operations with live wildfire modeling, predictive analytics, and intuitive visual tools.

Whether your team is using TAK in the field or ArcGIS in the EOC, WindTL gives everyone the same common operating picture, updating in real time and powered by AI.

How WindTL works

WindTL fuses satellite data, LANDFIRE vegetation maps, weather feeds, and drone-captured imagery to deliver real-time fire progression and ember spread forecasts. At its core is our WindPINN engine, a physics-informed neural network that creates 3D wind velocity fields across rugged terrain — even in areas with no weather stations.

These models are used to:

  • Identify likely ember impact zones in advance

  • Predict rapid shifts in firelines

  • Map new ignition points

  • Support evacuation planning and mop-up decisions

All outputs are visualized through WindTL’s intuitive interface or pushed to field devices via TAK.

Real-World Example

Thompson Fire, CA – July 2024
During a real incident, WindTL accurately forecasted ember transport across a river barrier — hours before it happened. With that insight, incident command was able to deploy resources to protect high-value homes at risk, helping stop further destruction before it started.

This video demo walks through the same process used in the field — showing how a user selects an area of concern, inputs key parameters, and runs a prediction to visualize potential ember spread and fire progression in real time.