7Analytics provides ultra-high-resolution flood risk intelligence at a 1-meter resolution, enabling insurers, reinsurers, and banks to achieve more accurate risk selection and portfolio management. Their platform uses proprietary machine learning and geoscience models to predict flood depth and extent at the property level, offering both chronic and acute risk assessments for enhanced climate resilience.
Funding
Funding not disclosed
IFFounders
Product
Problem
Traditional flood risk assessment models often lack the granularity required for precise underwriting and portfolio management, leading to increased loss ratios and suboptimal climate resilience strategies. This deficiency is particularly pronounced in understanding exposure at the individual property level, especially outside of designated flood zones.
Solution
7Analytics delivers ultra-high-resolution flood risk intelligence by employing a proprietary modeling approach that integrates machine learning with advanced geoscience and fluid dynamics. Our platform analyzes over 600 parameters per property, providing flood depth and extent predictions at a 1-meter resolution. This granular data enables insurers, reinsurers, and banks to achieve more accurate risk selection, optimize portfolio steering, and enhance overall climate resilience. We offer both chronic risk assessments for long-term portfolio analysis and acute risk predictions with hourly updates for immediate event response and loss prevention.
Target Audience
Our primary customers are insurers, reinsurers, and banks seeking to improve their underwriting accuracy, manage portfolio risk, and enhance climate resilience through granular flood exposure data.
Features
- Proprietary 1-meter resolution flood risk modeling, capturing exposure at building-level detail.
- Machine learning models trained on extensive insurance claims data and over 600 property-specific physical parameters.
- Dynamic flood depth curves and event timelines for predictive analysis.
- Integration with weather forecast monitoring for real-time loss prevention and claim prediction.
- Chronic risk assessment for portfolio analysis, enabling competitive pricing and risk discrimination.
- Acute risk prediction with hourly updates, providing location-specific warnings and consequence mapping.
- First-principles physical modeling approach, adaptable to any topography with available geospatial data.
- Live urbanization tracking to dynamically update risk assessments based on evolving landscapes and infrastructure.