Improve Safety. Prevent Damage.

Our real time, asset specific flood forecasting and mapping products help improve all phases of the emergency management process: before, during and after.

 

$16.8B
of annual flood damage is preventable

Using fit-for-purpose models and visual flood impact information, businesses can operationalise risk mitigation, enhance informed decision making and create greater situational awareness.

Flood innovation proudly supported by local, state and federal governments.

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Buy time. Make better decisions.

Know with confidence where and when flooding will occur with FloodMapp for each stage of a flood emergency.

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Hourly refresh

Beaudesert community at risk of inundation in 4 hours

Asset 57 is at risk of inundation in 10 hours

Preparation

Response

Recovery

Rapid and granular asset and community impact information before, during and after a flood event.

Efficient route and logistics planning

Greater situational awareness

Immediate impact estimation

Impact-based flood forecasting

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“This new technology could help us better prepare for any future flooding event”
- Hon Karen Andrews MP, Minister for Industry, Science and Technology 

World first flood information

FloodMapp products are powered by DASH, a ground breaking hydraulic model purpose-built to give emergency managers rapid and localised flood data they can depend on for decision making.

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How we compare to traditional flood models

50x
Greater Cost Savings

DASH can scale across states without the expensive price-tag to protect all communities and assets.

10,000x
Faster Run-time

Rapidly updating and dynamic flood information to power informed decisions.

200x
Finer Granularity

Community and asset-level impact information to prevent losses instead of broad flood information.

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Be confident in the decisions made with our flood insights.

Integrations

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Select your industry to understand how your organisation benefits

News & Media

Image by Harry Dona

We are passionate about building more resilient communities across the world.