Deterministic & auditable
Predictions come from published physics and rules-based models. Outputs are repeatable and trace back to their inputs — suited to review and assurance.
For Government
Assurance-grade bushfire intelligence.
For agencies responsible for people, land, and infrastructure — predictions you can inspect, repeat, and account for.
Australian data residency
Designed to run in Australian cloud infrastructure (Sydney region), keeping data within national boundaries.
Security posture
Role-based access control, authenticated APIs, and transport encryption. Security detail is shared with reviewers under access control.
Authoritative sources
Built on NASA FIRMS, Digital Earth Australia, the Bureau of Meteorology / Open-Meteo, WindNinja, and the McArthur Forest Fire Danger Index.
Why it matters
Built for accountability
Life-safety and public-sector decisions have to withstand scrutiny. Fire Path AI's deterministic approach means a prediction can be reproduced and explained from its inputs — there is no opaque scoring standing between the data and the outcome. Fire Path AI is designed to support official emergency-service decision-making, not to replace it.
Evaluate Fire Path AI for your agency.
We can walk your team through the modelling, the data sources, the security posture, and how it maps to the areas you're responsible for.