How Monthio’s Work with Financial Data Led to Sevren

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

The challenges of analyzing 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 laid the foundation for Sevren, a spin-off AI company.

For Monthio, the challenge was practical: identifying patterns in financial transactions and analyzing 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 study also examined how models could better distinguish between what they know and what they do not know. As Mads explains in the article, financial decisions require answers that can be understood and relied upon.

When the technology demonstrated potential beyond the financial sector, it was spun off into Sevren. The company is developing an alternative approach to how AI models process information, with the goal of processing larger amounts of data using less energy and less expensive hardware. It plans to publish its research and findings so that others can build on its work.

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