Our approach is simple: we analyse the problem, break it down into logical building blocks, and build a solution from generic, independent components that interact through clear-cut interfaces.

Although our experience is rooted mainly in the financial industry, the approach itself is industry-agnostic. But an approach alone does not make a good solution. What sets our solutions apart is how we combine mathematics, data modelling, and software engineering.

Depending on the client's needs, we deliver a design, a prototype, or a modular software implementation. Because our solutions are generic, extensions and variations require only minor adaptations, not a redesign. Consequently, our solutions deliver value today and keep the cost of future change low.

 

In summary, our offering consists of the following building blocks:
  • Quantitative Modeling: Developing mathematical and statistical models for data-driven questions.
  • Data Science & Analysis: Evaluating and preparing data as the basis for quantitative models and sound decisions.
  • Architecture & Data Models: Designing modular architecture and generic data models that support rigorous data analysis and the smooth operation of quantitative solutions.
  • Solution Implementation: Turning the developed solution into reality, from prototype through to production-ready software.
  • Consulting: Providing support and knowledge transfer on any topic related to the design and implementation of a quantitative solution.
When a project needs more development capacity than two people can provide, we bring in freelance software engineers with whom we have long-standing, trusted working relationships.

  Let's have a chat

A question that resists standard answers? A problem off-the-shelf tools can't handle? Something you can't quite pin down yet, with no one to bounce it off? If so, we'd love to talk it through. Leave us a few lines below, and we'll get back to you.