die Mobiliar operates as a leading Swiss insurance provider for individuals and businesses across property, casualty, and life insurance. As its long-term insurance software development partner, Axon Active delivers complex, data-driven systems. The collaboration combines Swiss insurance software expertise with a scalable offshore insurance software development model to ensure predictable delivery and engineering excellence.
As a leading Swiss insurance provider, die Mobiliar offers comprehensive property, casualty, and life insurance solutions for both individuals and businesses. To build complex, data-driven systems that meet strict Swiss quality standards, the organization chose Axon Active as its long-term engineering partner. This Swiss-Vietnamese software alliance leverages a scalable offshore model to guarantee predictable delivery schedules and top-tier technical talent.
The Axon Active team delivers custom insurance software development in two-week Scrum sprints, matching the engineering pace at die Mobiliar. Each sprint includes planning, daily standups, stakeholder reviews, and retrospectives. This setup ensures transparent, step-by-step delivery. Every two weeks, the team launches a fully tested feature live or into staging.
The teams work during the same hours for live meetings, tech reviews, and quick decisions. Outside this window, they use MS Teams, Confluence, and Jira to keep work moving without delays. Keeping the same engineers on the project protects business knowledge and cuts down on training time. Finally, dedicated account leaders manage resources, solve issues, and keep goals aligned each quarter.
The PSK module is the core tool for insurance profitability analysis in non-life insurance, supporting insurance software development at the heart of the platform. Our dedicated software development team manages the entire project lifecycle, from requirements gathering and design to implementation, testing, and maintenance. The system calculates the combined ratio by integrating premiums, claims, reserves, and costs, enabling managers to make informed decisions based on accurate data rather than assumptions.
Full-stack engineering covers the entire application stack using Java and Angular to minimize integration overhead. Our software developers work across both frontend and backend layers to ensure a tight connection between the user interface and service logic. This approach keeps insurance software development fast, allowing the team to move quickly from wireframes to working features without sacrificing Swiss-quality.
The team builds and operates a Kafka-based insurance data platform to process massive amounts of insurance data. This infrastructure allows users to read reports quickly while handling large batches of incoming data with ease. The system architecture prioritizes three main rules: it must stay steady, be easy to check, and remain simple to fix over time.
The team uses AI-assisted software development, blending human judgment with GitHub Copilot and ChatGPT to maximize project value. AI acts as a collaborative partner during analysis to identify potential feature gaps and brainstorm solutions. During development, AI handles repetitive coding tasks and generates robust test cases, reducing manual effort while improving software quality.
Duration of continuous partnership and platform evolution over five years
Embedded in Swiss in-house squads
Full system availability maintained over the past three months
Very low failure rate, reflecting strong stability and software quality
"Our strong collaboration with Axon Active has seamlessly integrated their Vietnamese developers into our teams. By fostering mutual understanding through face-to-face PI Plannings, this partnership delivers continuously improved work results that benefit our entire organization."
The platform aggregates premiums, claims, provisions, and costs to calculate the combined ratio at a customer level. This gives managers a clear, consistent view of historical profitability to inform underwriting decisions.
The system uses a Kafka-based pipeline to ingest and process large volumes of insurance data efficiently. This architecture supports batch processing and adapts to changing data structures over time.
The platform is built using a structured microservices architecture with Kubernetes and Docker. The team uses monitoring tools like Prometheus and Grafana to keep the system stable and maintainable.
Changes are introduced incrementally through regular two-week sprint cycles. New features are tested and released in small steps, allowing the system to remain stable for business users during evolution.
Users access a unified interface to search historical calculations and analyze trends over 3 to 10 years. Features like the contract chain view help users interpret results effectively for underwriting.
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