The platform

Bushfire risk modelling: assess, forecast, then optimise what you actually do about it.

Mitigate turns a landscape into a model you can interrogate — where fire will start, where it will run, what it will hit, and which treatment programme changes that most per dollar spent.

Live simulation·Northern Beaches, NSW

What it gives you

Dynamic

Risk that moves when the landscape does

Mitigate integrates real-time environmental and operational data, so risk assessments adapt as conditions change rather than ageing quietly in a PDF.

Speed to insight

Minutes, not weeks

A cloud platform your own team drives. Analyse bushfire risk independently and in minutes, so resourcing decisions can be made while they still matter.

What-if scenarios

Test the plan before you fund it

Explore mitigation options and see their effect on risk. Optimise resource use, minimise financial exposure and keep strategy aligned with ecological practice.

Evidence over instinct

A defensible answer, every time

Machine learning over complex spatial datasets produces recommendations you can show a board, a regulator or a neighbour — and explain.

Descriptive

Start with what is actually there.

Clean, transparent baseline layers. Used alone they invite guesswork — which is exactly why they are the floor of the platform, not the ceiling.

Vegetation communities
Fuel class, structure and recovery behaviour, mapped across the estate.
Fuel load
Ground and ladder fuels, tracked as they accumulate between treatments.
Fire history
Where fire has been, how often it returns, and what that leaves behind.
Topography
Elevation, slope and aspect — the terrain that decides how a fire runs.
Assets
Houses, sheds, turbines, powerlines, mills. Impact is counted per asset.
Weather
Historical records, live forecast and climate projections.
A 160,000-hectare project in Mitigate, shown as three-dimensional terrain with state forest, watercourses and roads mapped across the ranges.
A 160,000-hectare project area — terrain, watercourses, roads and forest, before a single ignition is placed.

Predictive

Where danger comes from, and what it reaches.

Grid the landscape with ignitions, run each one under the weather profile that worries you, and let eight hours — or several days — of physical fire behaviour play out. What comes back is a risk surface, not an opinion.

  • Risk from

    Where a fire is most likely to originate and threaten your area — including the ground outside your boundary that drives it.

  • Risk to

    What inside your land is most exposed, and how soon it is reached. The basis for asset prioritisation.

  • Fire spread

    Rate of spread, fireline intensity and flame height across the run, under wind, temperature, humidity, fuel moisture and slope you set.

  • Ensembles

    Run the same scenario hundreds of times with weather, fuel and ignition varied together. The spread across members is the confidence in the answer.

A reconstruction of the Palisades fire in Mitigate, showing the run out of the canyon and down through the coastal streets of Los Angeles, with buildings alight along the Pacific Coast Highway.
The Palisades fire, reconstructed. One ignition, the run down the canyon, and impact counted against 10,231 mapped buildings.
Close view of a simulated fire in a suburb: burnt buildings in black, burning buildings in orange, and magenta lines tracing ember transfer between houses.
Closer in, impact is counted per building. Black is burnt, orange is alight, and the magenta lines are embers carrying fire from house to house.

Prescriptive

Build the programme. Cost it. Prove it.

Treatments are placed, sequenced and costed, then tested against the same ignitions that produced the baseline. The difference between the two runs is the argument.

Prescribed burning

Reduce fuel load in strategic locations with controlled fire.

Thinning and silviculture

Manage stand structure and ladder fuels across production forest.

Mechanical intervention

Slashing, mulching and machine works where fire is not an option.

Grazing

Livestock managing fine fuels, especially in transitional zones.

Revegetation and green breaks

Low-flammability vegetation and natural buffers that slow or redirect spread.

Pruning and defensible space

Asset-scale work around the things you cannot afford to lose.

The same landscape after a thinning and prescribed burn programme.
Simulated fire impact across an untreated landscape.
BaselineWith programme
The same ignition set, run against the landscape as it stands and against the treated landscape.

Coverage

Global coverage, country-wide data.

Country-wide vegetation and fire scar datasets wherever you operate, so the same evidence-based analysis applies whether the asset sits in the Liverpool Range, the forests of Oregon or a plantation on the other side of the world.

Read about the US release

Equip your team with the argument, not just the map.

Contact us to schedule a demo, or ask for the technical scope if you need the detail before a conversation.