Do you have legacy code and spreadsheets for mathematical models that are:
- Difficult to understand, with little or no documentation
- Fragile or error-prone
- Slow or inefficient, limiting your ability to scale or run large analyses
- Built in outdated languages or complex spreadsheets that are hard to follow and maintain
- Dependent on key individuals, creating operational and knowledge risk
We can help you transform them into modern, robust mathematical software with clear documentation, and uplift the underlying mathematical methodology as we do so.
We can transform spreadsheets into production-quality code, or migrate code from one language to another (e.g. Excel/VBA/Matlab to Python or C#, or legacy systems into high-performance modern architectures). The result is software that is faster, more reliable, easier to maintain, and fully aligned with your current and future business needs.
In many cases, legacy systems not only suffer from technical issues but also embed outdated or suboptimal assumptions. As part of the rebuild process, we review and, where appropriate, enhance the underlying mathematical models—whether that involves improving numerical methods, correcting approximations, or extending functionality to support more realistic scenarios. This ensures that the new system is not just a cleaner implementation, but a genuine upgrade in capability and accuracy.
We also place a strong emphasis on testing, validation, and transparency. In fact, model validation consulting is one of our key services. Rebuilt systems are delivered with comprehensive test suites, clear audit trails, and documentation that allows your team to fully understand and confidently maintain the software going forward. The end result is a system that reduces operational risk, removes key-person dependencies, and provides a solid foundation for future development and scaling.
We also offer a wide range of other services relating to mathematical software development, engineering tools and financial modelling. Contact us today to learn more.