How Monthio’s work with financial data led to Sevren

English summary by Monthio of reporting by Alexander Haslund, published by Finansforbundet on 28 September 2026. Read the original article in Danish.

The demands of analysing financial data led Monthio’s developers to investigate the architecture behind AI models. In an interview with Finansforbundet, Monthio Co-founder and CEO Mads Aarup Pedersen explains how that work became the foundation for Sevren, a spin-out AI company.

For Monthio, the challenge was practical: identifying patterns in financial transactions and analysing years of data across multiple accounts without a corresponding increase in computing requirements.

“In our work with AI, we encountered limitations in existing AI models when it came to financial processes and data. That is why we have been working for some time to change the underlying logic of AI models.” - Mads Aarup Pedersen, Co-founder and CEO of Monthio, translated from Danish

The work also explored how models could better distinguish between what they know and what they do not. As Mads explains in the article, financial decisions require answers that can be understood and relied upon.

When the technology showed potential beyond finance, it was separated into Sevren. The company is developing an alternative approach to how AI models handle information, aiming to process larger amounts of data with less energy and less expensive hardware. It plans to publish its research and results so others can build on the work.

Read Alexander Haslund’s full interview with Mads Aarup Pedersen in Finansforbundet (in Danish)