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How expanding a pricing platform improved risk selection and pricing accuracy

01.
Building a smarter way to price insurance
A global insurance company set out to improve its advanced pricing platform. They needed a flexible and customizable system that could support insurance lines. The aim was to improve risk selection, pricing accuracy, and underwriting automation.
Working with the in-house team, Inspeerity expanded the existing architecture to boost performance, scalability, and usability. Together, we:
- Improved the core architecture to handle complex data and faster processing
- Designed a more intuitive interface for underwriters and analysts
- Integrated real-time analytics to enhance pricing accuracy and automation
- Enabled full dashboard and algorithm customization across insurance lines
Since going live, the platform has processed over 30 billion USD in reinsurance premiums.
02.
Creating a flexible, data-driven platform
The pricing system helps insurers make better, data-driven decisions. It brings together underwriters and analysts through shared dashboards and live analytics.
By integrating real-time data, the platform allows faster quoting, more accurate pricing, and improved portfolio visibility. It also automates key underwriting steps.
Key features include:
- Automated underwriting that reduces manual effort and shortens response times
- Real-time data integration for live updates and insights
- Advanced analytics improving risk assessment and pricing precision
- Customizable workflows that adapt to different insurance products
- User-friendly interface with drag-and-drop configuration tools
03.
How we delivered the solution
We built a team of engineers, QA, DevOps, and delivery specialists to refactor and modernise the platform while keeping it live for daily use.
Keeping the platform live
Provided ongoing support and incremental improvements to ensure the system stayed stable, responsive and available to users worldwide.
Improving security and performance
Upgraded core frameworks and dependencies to meet enterprise security policies, reduce technical debt and improve long-term reliability.


Preparing for a major release
Planned and tested every step of the upcoming release, including full regression and cutover, to ensure a smooth rollout with no service disruption.
Clear communication and control
Held regular technical and delivery syncs, giving the client full visibility into progress, timelines and potential risks.
Strong compliance and documentation
Enhanced release notes, QA reports and technical records so every change was traceable, audit-ready and compliant with internal standards.
04.
The impact
The upgraded platform makes it easier for insurers to build, test and manage pricing models.
- Standard raters can now be created in under a month, helping the client speed up quoting cycles and reduce time-to-market.
- Continuous data integration improves the accuracy of pricing and risk assessment.
- Automation supports consistent underwriting standards across multiple markets.
- System stability and scalability have been maintained during major releases, ensuring uninterrupted daily use.
With ongoing enhancements, the platform continues to grow in scope and performance. It has processed over 30 billion USD in reinsurance premiums.
05.
Looking towards the future
The client set out to modernize a complex pricing platform used by underwriters. Together, we improved its speed, scalability, and accuracy through stronger architecture, real-time analytics, and automation. The result is a flexible, stable platform that supports everyday operations and continuous growth.
As the client’s business evolves, the platform will continue to play a key role in faster, more accurate underwriting. Ongoing work focuses on expanding automation, shortening release cycles, and keeping the system scalable as usage grows.
Progress is tracked by quality, speed, and reliability, ensuring steady improvement and long-term value.
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