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Reask

Reask develops machine learning-based climate forecasting tools and probabilistic hazard models to provide precise risk assessments for extreme weather events. Their technology enables insurance firms, financial markets, and governments to quantify and anticipate natural catastrophe risks, facilitating informed decision-making and risk management.

Sydney, AustraliaFounded 2018233K+ followers
Updated 8 months ago

Funding

$8.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

BFCFIIMVMV+1

Founders

Product

Problem

Organizations across various sectors lack precise and dynamic risk assessments for extreme weather events, hindering effective decision-making and risk management in the face of increasing climate volatility. Traditional models often fail to capture the complexities and interconnectedness of global weather patterns, leading to inaccurate predictions and inadequate preparedness.

Solution

Reask provides machine learning-based climate forecasting tools and probabilistic hazard models that deliver precise risk assessments for extreme weather events. Their AI-driven technology enables (re)insurance firms, financial markets, corporations, and governments to quantify and anticipate natural catastrophe risks with greater accuracy. By leveraging a globally connected AI modeling approach, Reask facilitates high-resolution analysis of risk correlations across regions and perils, offering insights into both historical trends and near-term risk trend forecasting. This allows organizations to understand the likely risk from natural catastrophes across the globe using probabilistic hazard maps, historical and stochastic event catalogs.

Target Audience

Reask's primary customers include insurance and reinsurance firms, financial services firms, governments, and corporations seeking to better understand natural hazards and develop a collaborative approach to solving their business challenges.

Features

  • **DeepCyc:** Global probabilistic hazard risk mapping and event catalog for comprehensive risk assessment.
  • **Metryc:** Global wind speed best estimates, providing accurate wind speed data for various applications.
  • **LiveCyc:** Global early warning system for tropical cyclones, enabling timely responses to impending threats.
  • AI-selected climate patterns to project likely risk trends for the season ahead.
  • Globally connected AI modeling approach for high-resolution analysis of risk correlations across regions and perils.
This profile is AI-generated and may contain inaccuracies.