Insurance Case Study

The World’s Largest Primary Insurer Reduced Costs by 65% and Transformed Its Underwriting Platform with Qarta™

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Highlights
65%
cost reduction with our consumption-based pricing
170 servers replaced with
1 scalable cluster
Unparalleled speed and performance with Qarta™

The Company

The client is the largest primary insurance company in the world, with over 150,000 employees headquartered in Munich, Germany. As a global leader in insurance, reinsurance, and asset management, they required enterprise-grade performance, scalability, and reliability across underwriting and accumulation workflows. 

The Challenges

The client’s previous GIS solution failed to meet underwriting and accumulation control requirements:

  • Enrichment results took hours, instead of seconds
  • Frequent outages, service unavailability, and system instability
  • Server crashes due to overload
  • Underwriter frustration, delays, and missed business opportunities during peak periods
  • Extremely high per-core licensing costs with no scaling benefits

Enterprise architecture required a cloud-native, OGC-compliant, future-proof solution capable of delivering performance, speed, and scalability at a global level.

The Quarticle Solution

Quarticle rebuilt the client's geospatial infrastructure using Qarta™, leveraging Kubernetes and DevOps expertise to deliver a cloud-ready, enterprise-grade accumulation and enrichment geointelligence engine.

Key achievements:

Migrated from 170 servers to 1 scalable cluster

Cloud-native architecture on Microsoft Azure

Accumulation APIs embedded in underwriting workflows

Automatic workload distribution via load balancing

Modular design supporting future integrations

Full system stability, no outages, and seamless user experience

Elastic pricing enabling rollout across multiple legal affiliates

The solution enabled instant accumulation calculations directly at point of underwriting.

The Results

Quarticle delivered a cloud-ready, enterprise-grade accumulation back-end API that served P&C risk model data to downstream systems with great efficiency and speed. 

The platform seamlessly supported monthly and quarterly business peaks on a flexible Microsoft Azure infrastructure, while reducing costs by 65% through our consumption-based pricing model. 

The team met all 6-month objectives and deadlines, securing a long-term partnership commitment from the client.

Solutions & Services

Accumulation API
Underwriting Workflow Automation
Risk Model Data Integration
Geospatial Platform Migration
Portfolio Exposure Analysis

Technologies & Frameworks

Qarta™ Geo Engine
Kubernetes Orchestration
Microsoft Azure Cloud
OGC-Compliant Standards
Cloud-Native Architecture
DevOps Automation
Load Balancing & Elastic Scaling

What our customers are saying

“Quarticle’s geospatial intelligence platform allowed us to harmonize our application landscape. Finally, we can centrally manage all geospatial workflows and drive efficiency and effectiveness across our underwriting workflows. Providing our customers and brokers with these significantly better and faster services not only saves operating costs, but also improves our underwriting decisions, and increases our margins – it allows us to provide the best-in-class experience to our users.”
Kai Ole Rogge, Former Head of GIS, Global P&C Insurer with 150,000+ Employees

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