Australian data residency
Personal data is held in Australian infrastructure (AWS ap-southeast-2, Sydney), aligned with Australian privacy expectations.
For Government
Assurance-grade bushfire intelligence.
For agencies responsible for people, land, and infrastructure - predictions you can inspect, repeat, and account for.
Deterministic and auditable
Predictions come from published physics and rules-based models, not opaque scoring - the same inputs produce the same, inspectable result.
Security posture
Role-based access, tenant isolation for organisations, and an audit trail of activity. Designed for the OFFICIAL: Sensitive ceiling; higher assurance is a roadmap item, not a claim.
Supports, not replaces
Fire Path AI is designed to support official decision-making, not replace it. Authoritative warnings always come from the responsible agency.
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.
Method & maturity. Spread modelling is physics-based (McArthur), strongest for grassland; forest and shrubland fuel-type models are being refined, and predictive accuracy is being measured rather than claimed. Fire Path AI is designed to support official decision-making, not replace it.
Request a briefing
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.