Web Analytics

3 Latest Announced Rounds

  • $4,000,000
    Unknown

    2 Investors

    Information Technology & Services
    May 9th, 2024
  • $50,000,000
    Series B

    2 Investors

    Hospital & Health Care
    May 9th, 2024
  • $7,000,000
    Series A

    3 Investors

    Software Development
    May 9th, 2024
$766.85M Raised in 60 Funding Rounds in the past 7 Days - View All

Funding Round Profile

FloodMapp

start up
Australia - Fortitude Valley, Queensland
  • 07/02/2022
  • Unknown
  • $8,500,000

Enable true flood resilience with live flood mapping data.

FloodMapp is a world-first flood modelling solution purpose built for impact based flood forecasting and emergency management. Aimed at improving safety and preventing damage, FloodMapp provides highly accurate, real-time, property-level and dynamic flood inundation and depth insights for businesses exposed to flooding.

This kind of data provides unrivaled situational awareness to inform decision making, during and after a flood event. This can enable targeted public messaging, risk mitigation and loss prevention, minimising business interruption and lost productivity, and mitigating risk for staff and assets. We predominantly service utilities, transport, mining, insurance and public sector.

FloodMapp combines big data analytics, automation and machine learning techniques with novel hydrology and hydraulic models to achieve large-scale, rapid flood modelling. Our proprietary technology reads in real-time and forecasted rainfall and river height data, which our models use to estimate predicted peak river heights at scale at scale and generate large scale inundation mapping.


Related People

Ryan ProsserCo Founder

Ryan Prosser United States - ND

An engineer, a technologist, and a leader.
My diverse background has brought me to where I am today; leading a multidisciplinary, and internationally recognized team of engineers and scientists toward the goal of making a safer future. A future where it's not a mystery to anyone how a flood will unfold.