Bushfire risk, before and during
What a bushfire costs you is decided in two moments: the preparation before it, and the first hour after it starts. FiSci covers both — Mitigate to plan and prove your mitigation, Overwatch to watch for fire around the clock and have the analysis done before anyone is awake.
Ultra-high resolution·Ensemble simulation·24/7 detection·AI incident assessment·Global
Companies we're proud to support
The problem
Before the season
Mitigation budgets are finite and risk reports go stale. It is hard to know which burns, thinning or clearing will actually change the outcome — and harder still to prove what last year’s programme bought.
Simulates thousands of fires across your real landscape, tests every treatment against the same fires, and puts a number on the risk each one removes and what it costs.
Explore MitigateThe first hour
Fires start when nobody is looking. Detection feeds are noisy, and a hotspot is only a dot on a map — so the first hour goes on working out whether it matters and where it is heading.
Watches your land 24/7 across satellite, lightning, agency and camera feeds, judges each detection against your instructions, simulates the ones that matter and sends the right people a brief.
Explore OverwatchOne landscape model underneath both. The fuel, assets and fire history you build to plan with are what Overwatch uses to respond — so the work done before the season pays off again during it.
Measured, not asserted
We rebuilt the Coolagolite fire weather of 3 October 2023 across the New South Wales Far South Coast and ran 729 ignitions twice — once over the landscape as it stood, once with the 2026 hazard reduction burns inserted exactly as they were laid down.
Fewer homes, sheds, powerlines and structures inside lethal intensity contours.
Average across every ignition tested.
Per ignition, against the untreated landscape.
13,105 mapped assets across the planning area.
Source: FiSci Mitigate analysis of the FCNSW / RFS / NPWS autumn 2026 hazard reduction programme, modelled under 3 October 2023 conditions. Full method in the field note.
The comparison
Drag the divider. On one side, the landscape as it stands. On the other, the same country after a thinning and prescribed burn programme. Yellow marks the ground most likely impacted by fire.
How it works
Thousands of ignitions run across your real landscape — fuel, slope, aspect, weather — at ultra-high resolution. Eight hours to several days of physical fire behaviour per ignition.
Build treatment strategies from burns, thinning, grazing and mechanical work. Every block is costed, scheduled and placed against the fires that actually threaten you.
Re-run the same ignitions over the treated landscape. The difference between the two runs is what your programme bought — in hectares, in assets, in dollars.
Overwatch monitors the same landscape around the clock. Real detections are simulated against the treatments on the ground today, and each season feeds the next plan.
What sets FiSci apart
Evidence
Local governmentMount Nelson, Tasmania
A planned burn above Hobart, modelled before it happened — and the follow-up treatment the model says should come next.
−40%Average fire size
ForestryMaryborough, Queensland
A live fire near Maryborough, a sixteen-hour forecast, and an incident action plan built on it — with no impact on the mill or the plantation.
16 hrsForecast window
Urban interfaceOxford Falls, New South Wales
A 23-hectare hazard reduction became a 147-hectare bushfire. We re-ran it, then built the burn strategy that should have been used.
11% → 2%Post-burn risk
Who we work with
Turbines, mills, plantations, transmission corridors, carbon estates, towns. The questions are always the same: what will the fire do, what should we spend to change it — and will we know the moment it starts?
Bring us a boundary and a bad day. We'll show you what the fire does, what your programme is worth against it, and what Overwatch would have told you.
