For one of our clients, we conducted a technical validation of one of their largest models. Our report provided both the client and the regulator with clear insight into the model’s reliability

In a knowledge session, we collaborated with actuaries to discuss the challenges and benefits of actuarial pricing using machine learning. During the session, issues concerning ethics and oversight were addressed. Furthermore, our team presented an alternative scientific approach, inviting participants to share their perspectives. The entire session was facilitated by our team.

In the actuarial field, we observe that clients sometimes face challenges with developing and/or adopting new technology. Excel remains a familiar and convenient solution for data visualization. Therefore, for this project, we have retained both input and output in Excel. This allows users to continue working in a familiar environment.

For a major pension consultancy firm, we have constructed an ALM model in line with WTP guidelines. The model is designed to be modular, scalable, and dynamic, with a view toward future expansions. Opportunities for further development are discussed with the client on an iterative basis.

For a client, we have developed an AI-driven data quality model that identifies potential erroneous data using advanced mathematical methods. This approach purifies the data and elevates simple rule-based checks to a new level.

We organized AI brainstorming sessions for an insurance company. Through collective insights, we identified the most suitable initial pilot projects.

In collaboration with clients, we have conducted checks on data quality. We specifically examined participant data for pension funds. The data was then analyzed and cleaned.

Extensive experience in optimizing data-intensive Excel workflows. For one of our clients, we have reduced such a process from four hours to just ten minutes. While developing the software, we actively involved the client in its usage and provided educational sessions to transfer knowledge about the underlying technology.

We have developed a full-stack web application that enables users to perform financial analyses to support decision-making. The solution is built and hosted on Microsoft Azure. The application is live and continues to be developed by our team

In our sample model, we have converted an actuarial simulation calculation in Excel to an optimized version. This reduces calculation time from 2 minutes to 3 seconds. The new version also features a faster and more robust dashboard. Interested in a demonstration of this model? We would be pleased to show you!

For a client with a complex pension scheme, we provided support on compliance-related matters. The documentation prepared was positively evaluated, enabling a smooth transition to the new scheme.