Fire behaviour modelling
Wind-adjusted spread modelling using WindNinja terrain-aware wind fields and the McArthur Forest Fire Danger Index.
Bushfire intelligence · Australia
Predict bushfire spread. Protect what matters.
Fire Path AI combines authoritative Australian data with established fire-behaviour models to estimate where a fire may spread — and when it could reach the assets you care about.
Built on authoritative Australian data + models
- NASA FIRMS Active-fire hotspots
- Digital Earth Australia Satellite hotspots
- Bureau of Meteorology / Open-Meteo Weather + wind
- WindNinja Terrain-aware wind
- McArthur FFDI Fire danger index
The problem
Bushfire risk moves faster than the paperwork.
When a fire starts, the people responsible for homes, infrastructure, and land need to know one thing quickly: is it coming our way, and how long do we have? That answer depends on terrain, wind, fuel, and where the fire already is — data that exists, but rarely in one place, mapped against the specific assets that matter to you.
Fire Path AI brings those sources together and turns them into a clear, repeatable picture of modelled spread and estimated time-to-impact.
Capabilities
What Fire Path AI does
Satellite hotspot detection
Active-fire hotspots from NASA FIRMS and Digital Earth Australia, mapped against your registered assets.
Asset protection
Register the places that matter and see modelled spread and estimated time-to-impact as conditions change.
Alerting
Configurable alerts as risk to a registered asset changes — delivered to the people responsible for it.
Organisations & roles
Multi-tenant organisations with role-based access, so teams see and manage only what they should.
Deterministic by design
Predictions come from published physics and rules-based models — transparent and repeatable, not a black box.
How it works
From data to a decision, deterministically
Every prediction is repeatable: the same inputs produce the same output, so results can be inspected and audited.
- 1
Ingest authoritative data
Satellite hotspots, weather, wind, terrain, and fuel are drawn from Australian and international sources on a regular cycle.
- 2
Model spread deterministically
Terrain-aware wind fields and established fire-behaviour models estimate where a fire may spread, and when.
- 3
Map against your assets
Modelled spread and estimated time-to-impact are shown against the assets you have registered.
- 4
Alert the right people
As risk to an asset changes, the people responsible for it are notified.
Data & models
Built on authoritative Australian data + models
Fire Path AI doesn't guess. Each prediction is assembled from established, publicly accountable sources — here's what each one contributes.
Satellite data
NASA FIRMS
Near-real-time active-fire detections from NASA's satellites tell us where fires currently are — the starting point for every prediction.
Satellite data
Digital Earth Australia
Geoscience Australia's national hotspot feed adds Australian-sourced satellite coverage, cross-checking and complementing the global detections.
Weather data
Bureau of Meteorology / Open-Meteo
Temperature, humidity, and wind observations and forecasts drive both fire danger and the direction and speed a fire is likely to travel.
Model
WindNinja
Broad-scale wind is re-modelled over local terrain, so ridgelines and valleys shape the predicted spread — not just the regional forecast.
Model
McArthur FFDI
The McArthur Forest Fire Danger Index turns weather and fuel conditions into a standard measure of how dangerous conditions are.
Why deterministic
Transparent models, not a black box.
Fire Path AI v1 produces predictions from published physics and rules-based models. That is a deliberate choice for life-safety and government use.
- Repeatable. The same inputs produce the same output, every time.
- Inspectable. Results trace back to the data and models that produced them.
- Auditable. No opaque scoring standing between the inputs and the outcome.
On the roadmap: learning from historical fires to help refine spread prediction over time.
Who it's for
Built for the people responsible
Government
Deterministic, auditable predictions with Australian data residency — built for agencies responsible for people and land.
Learn moreEnterprise
Asset protection at scale across sites and teams, with role-based access and configurable alerting.
Learn moreCommunities
Designed with homeowners and local communities in mind as the platform grows.
Learn moreSee Fire Path AI applied to your assets.
Request a briefing and we'll walk through the modelling, the data sources, and how it maps to what you protect.