Mo.net provides a range of key features that differentiate it from the tranditional financial modelling solutions.
Ease & Speed of Development
The Model Development Studio includes a variety of features that are specifically designed to increase the productivity of the model development and testing community. The familiar, intuitive development environment, with features such as auto completion, syntax checking, source code control, together with advanced debugging and profiling functionality, reduces the time required to develop or change mission critical models & calculations.
The modern, legacy-free architecture of the Mo.net platform combined with the highly optimised model compiler results in a very small footprint for even the most complex models. In turn, this provides market-leading operational performance without resorting to exotic hardware, aggregated data, or reduced model functionality. For clients with exceptional or specific performance needs, Mo.net also provides access to a range of advanced numerical algorithms which can be incorporated into existing modelling solutions without rewriting from scratch.
For the first time, a single calculation kernel can support each stage of the insurance product lifecycle - from front-office quotations & illustrations, through core actuarial / risk reporting activities, into back-office policy administration & surrender value calculations.
Governance at the Core
The Mo.net platform has been designed to meet the specific governance and audit needs of the insurance market. Whether it's managing model changes through Collaboration Services, providing different user groups with their own specific permissions using or monitoring / reporting who is doing what across the platform in realtime using Identity Services, Mo.net offers best-in-class governance and audit functionality.
Cloud Native Services and APIs
All components of the Mo.net Financial Modelling Platform can be deployed on-premise or off-premise, either in a fully managed, hosted environment, or in the cloud, or in a hybrid environment. This offers incredible flexibility and scalability without incurring expensive infrastructure & support costs. Operational services deployed to the cloud can then be exposed via a range of public or private APIs.