We use cookies to track website usage anonymously, so we can analyse trends and improve our website. For more information.  
Complexity made easy
Ageas Protect: "We chose Mo.net because it gave us exceptional power, versatility and speed in an easy to use package that was straightforward to implement and provided excellent value for money." [Read more >>]
AEGON UK: "OAC delivered high-quality models that give us exactly what we want. Working with OAC, we have been able to implement highly sophisticated capital management tools within Mo.net with a minimum of effort" [Read more >>]
Corporate Modelling: "Mo.net provides a scalable and cost effective solution for even the most complex requirements in the ever increasing regulatory world." [Read more >>]
Mazars: "We are delighted with Mo.net which has provided us with the ideal solution to our financial modelling needs. It is easy to learn, quick to implement, powerful and very cost effective." [Read more >>]
Quantum Leben: "Mo.net is a powerful and easy to use actuarial software tool backed up by excellent service. We were able to implement sophisticated actuarial modelling tools in a short time due to Mo.net's flexible development platform." [Read more >>]
Just Retirement: "We have found Mo.net to be powerful and flexible, enabling us to model the complexities of a full 'Solvency II'-type calculation, which is undoubtedly a difficult modelling challenge." [Read more >>]
Open Joint-Stock Company "Insurance company AHML": "We chose Mo.net because it gives us the ability to implement actuarial models for our very specific products." [Read more >>]
National Friendly: "We are extremely pleased we chose OAC and Mo.net." [Read more >>]
CIG Pannonia Life Insurance: "We are very satisfied with your software and we think we made the perfect choice with Mo.net when we were looking for actuarial software." [Read more >>]
PricewaterhouseCoopers: "We asked insurers to provide an overall rating on how closely their software use meets their requirements. Mo.net scored well with a significantly higher rating than the other packages..." [Read more >>]
Groupe Mutuel Vie: "We use Mo.net for Swiss Solvency II Test and for budgeting and forecasting statutory accounts. We are very satisfied with Mo.net and we especially appreciate its straightforwardness and transparency." [Read more >>]
  System requirements  
  Case studies  
  Follow our news  

The right choice for financial modelling

Mo.net has been built upon Microsoft’s .NET development platform and is fully compatible with all Microsoft technologies, so is not plagued by legacy issues often associated with other modelling software.

Mo.net Screen 3  Mo.net Screen 1  Mo.net Screen 2


  • Mo.net has been built upon the Microsoft .NET Framework and is fully compatible with all Microsoft technologies.
  • Mo.net is a robust solution for the computational complexities of Solvency II, including stochastic and dynamic modelling. When evaluated by prospective clients for Solvency II implementation, Mo.net is the clear winner against competition.
  • Mo.net’s architecture ensures that models can be compiled in a few seconds, and that every calculated value at any time can be viewed, analysed and validated to ensure accuracy.
  • Mo.net models can be created in a hierarchical structure so individual models can be tested in isolation, and code re-use is standard.
  • Mo.net is fully compatible with 64-bit, parallel processing and cloud technology, allowing flexible computing power to be harnessed for large data volumes and when extensive scenario analysis is needed.



  • Mo.net has a familiar user interface, similar to the latest Microsoft Office products.
  • Mo.net functions are written in Visual Basic, so employees who have experience of Microsoft Excel macros can become familiar with Mo.net in a short time.
  • Mo.net’s unique ability to link, group and re-use code ensures that models are easy to understand and highly efficient.
  • Mo.net models are freely editable, so updates due to regulatory or business changes can be easily implemented.
  • Software updates and licensing is supported over a web-based service. Dedicated online services enable users to raise and discuss queries securely and confidentially.
  • Mo.net can be deployed and in use very quickly.
  • Mo.net allows actuarial modellers to be quick, flexible and responsive to business needs.





  • Mo.net output files are fully open for analysis in Microsoft Excel or any other third-party package.
  • Outputs can be automatically grouped by any underlying parameter or by individual model component.
  • Advanced financial projections (varying underlying inputs and parameters) can be run from within Microsoft Excel without having to open Mo.net.


System requirements

Component Requirement

Operating system

Microsoft Windows Server 2008 R2 or later for server-based installations.

Microsoft Windows 8 Pro or later for workstation-based installations.

.NET Framework .Net Framework Version 4.5.2 or later.
Processor speed Minimum: x64 Processor 1.4 GHz
Recommended: 2.0 GHz or faster

The processor speed will directly impact the performance of any model running within the development environment.

Processor type x64 Processor: AMD Opteron, AMD Athlon 64, Intel Xeon with Intel EM64T support, Intel Pentium IV with EM64T support
Cores Minimum: 2
Recommended: 8
Memory Minimum: 1 GB
Recommended: 4 GB

The memory requirement will largely be dependent on the volume of data being cached by an individual model during operation. Data caching is not essential for model operation but will increase performance due to reduced disk / network IO.

Network adapter Gigabit Ethernet adapter (10/100/1000baseT PHY/MAC) for networked applications - data sourced from / written to network file shares or DBMS environments.
Hard disk The installation of Mo.net (Model Development Studio Edition) requires a minimum of 50MB of available hard-disk space.

Additional space will be required to store model code, binaries and associated data. Typically no more than 100MB will be required to store all components required to run a given model.


Contact us to arrange a demonstration of Mo.net.