REOR20 develops a physics-driven AI system for high-accuracy flood risk modeling across pluvial, fluvial, and coastal scenarios. This platform delivers property-level flood data rapidly and at scale, enabling insurers, governments, and communities to better predict and mitigate flood impacts. The solution leverages computational fluid dynamics simulations to provide actionable insights for climate change adaptation and disaster response.
Funding
$3.4M 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.
Founders
Product
Problem
Traditional flood risk management relies on slow, costly simulation methods, making it difficult to rapidly assess and respond to evolving flood threats. Existing solutions often lack the speed and scalability needed to provide accurate, high-resolution flood simulations across diverse geographic areas. This can lead to inadequate preparation and response strategies, increasing the potential for property damage and loss of life.
Solution
REOR20 offers a physics-driven AI system designed to revolutionize flood risk management by providing precise and actionable insights. The platform leverages computational fluid dynamics and machine learning to deliver high-resolution, property-level flood data. This enables insurers, governments, and communities to better predict, prepare for, and mitigate the impact of flooding events. The AI-powered flood engine produces dynamic simulations in seconds to minutes, a fraction of the time required by traditional methods, and can scale from single catchments to continental levels.
Target Audience
The primary target audience includes insurers and government entities requiring accurate and scalable flood risk assessment and mitigation tools.
Features
- AI-driven flood modeling based on computational fluid dynamics for high accuracy
- High-resolution, property-level flood data for precise risk assessment
- Rapid simulation times, generating results in seconds to minutes
- Scalable simulations, from local catchments to country-wide analysis
- Pluvial, fluvial, and coastal flood risk models
- Scenario-based modeling to quantify the impacts of climate change
- Flood event modeling for real-time prediction and response