Insurance Case Study

Swiss Reinsurer Scales Quarticle Geo-Engine to Deliver Clean Flood Hazard Data Across Eastern Europe

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Highlights
High-performance geospatial engine for real-time location intelligence
Cloud-native GIS server running on Microsoft Azure IaaS and PaaS
Standardized, topology-free flood hazard data for Eastern Europe

The Company

Our client is a global leader in reinsurance and insurance with over 150 years of experience. Headquartered in Switzerland, the company provides innovative solutions across property & casualty, life & health, and specialty insurance. They required cloud-native GIS for natural hazard risk management and Eastern European flood data processing.

The Challenges

The client aimed to replace their existing GIS server with a higher-performing, enterprise-ready platform that supported open standards and operated seamlessly on Microsoft Azure’s IaaS and PaaS services. The system also had to handle natural hazard risks and scale reliably during monthly and quarterly business peaks.

At the same time, they required official flood hazard data for Eastern European countries, properly processed and standardized. This involved several key challenges:

  • Ensuring no overlapping areas or topology errors in the flood data
  • Efficiently handling large, complex hazard datasets
  • Applying an overlay algorithm to eliminate overlaps between different flood probability layers
  • Delivering clean, structured data ready for enterprise risk workflows

The Quarticle Solution

Quarticle implemented a high-performance geo-engine capable of rapid geo lookups and visualization, while maintaining a robust backend map server and high-performance layer. Through horizontal scaling, the platform achieved 800,000 location requests per second, significantly boosting response speed and reliability during business peaks.

To meet the client’s flood hazard data needs, Quarticle implemented a comprehensive workflow:

  • Data cleaning and preprocessing using QGIS
  • Overlay algorithm application with GRASS-GIS to eliminate overlaps between flood probability layers
  • Topology correction and final validation in ArcMap

The workflow produced clean, standardized flood hazard data for Eastern European countries, ready for enterprise risk assessment workflows.

The Results

Quarticle’s geo-engine delivered enterprise-grade performance on Microsoft Azure, providing fast, reliable geo lookups and seamless map visualization even during peak workloads. The platform ensured stability, scalability, and full support for natural hazard risk assessment in underwriting and portfolio management workflows.

Quarticle’s flood data workflow produced clean, standardized, and topology-free datasets, structured by flood probability and ready for integration into enterprise risk systems. The solution significantly improved operational efficiency and data accuracy, meeting all client objectives on time.

Solutions & Services

Natural Hazard Risk ManagementFlood Hazard Data ProcessingGeo-Engine DevelopmentHigh-Performance GIS InfrastructureEnterprise Cloud Deployment

Technologies & Frameworks

GeoServer (Open Source)PostGISMicrosoft Azure IaaS & PaaSQGISGRASS-GISArcMap

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