The complexity of life insurance and annuity data is the #1 hurdle to innovation and effective risk management.
You don't have to wait an hour, let alone a whole week, to get that report. Download it now using our platform.
Our state-of-the-art data visualizations let you consume large amounts of powerful insights. So, you can make powerful decisions and have the evidence when you need it.
Spend your analysts' time on what matters most. Derive actionable insights using your clean, well-organized dataset, and pre-built statistical models.
Risk Dashboards and Applications to let you run powerful analyses and derive deep insights
Read MoreOur monthly billing model provides you with the flexibility of cancelling anytime! There are discounts for upfront annual payments.
Our data platform is a ‘software-as-a-service’ (SaaS) offering that holds all your asset, policy, and derivative (hedge) data. It also contains many pre-built analyses built using principles of data science, financial valuation, and econometric and actuarial risk analyses. Our clients find this clean, trustworthy, and highly analyzable data and pre-built analytics very useful for many purposes.
Read moreYes, absolutely. We cover a lot of different aspects of actuarial and financial risk management, such as Economic Capital, MCEV, Rates Setting, Experience Analysis and Mortality Analysis, which are not mentioned on our website. We will be glad to craft a custom consulting project for you and see it through to completion.
Primarily, we provide a SaaS toolset that is used by risk managers and actuaries at insurance companies to measure and manage the actuarial and financial risk of annuity and life insurance businesses. Secondarily, we provide assistance with hedging risks emanating from interest rates and other market movements.
Yes, we do provide derived data such as interest rate yield curves to our clients (insurance companies, asset managers and banks), but the provided data only be used for the purpose of risk analysis and asset-liability management.
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