We design and implement actuarial engines tailored to insurance portfolios and regulatory requirements.

Typical use cases

• Loss triangles and reserving methodologies 
• Motor and non-life portfolio analysis 
• Scenario and sensitivity analysis 
• Custom actuarial models integrated with business data
   

We build models that connect underwriting risk, actuarial outcomes, and financial performance.

Typical use cases

• Risk exposure and portfolio analytics 
• Pricing and underwriting decision support 
• Alignment between actuarial results and financial reporting 
• Management and regulatory insight models
   

We apply AI where it adds value — automation, insight, and efficiency.

Typical use cases

• Automated actuarial and end-of-year reports
• Natural-language summaries of actuarial results
• Agentic workflows supporting analysts and managers