Dydon is not a typical startup company in the fintech area.
Hans-Peter Güllich and his partners launched this enterprise to combine more than twenty years of experience in the compliance and regulatory risk solutions market with leading edge artificial intelligence methodologies to create a unique offering tailored to today’s decision maker needs.
Until today risk and compliance monitoring systems typically aggregate company internal data from ERP or CRM systems, HR, Intranet or workflow applications for regulatory conduct compliance into a set of KPI’s using various mathematical methods. Due to the complexity this is normally done annually or best every quarter.
Yet, today’s world has changed. The exposure of executives has risen in recent years due to changes in regulatory responsibilities following the global financial crisis, the increased importance of social media channels and increased competition through globalization.
In the Dydon solution, we combine classical risk and compliance rating logic trees to identify weak points within the company and use these as input for external data search and analysis to assess the company’s exposure. The result is a live dashboard for c-level executives giving them a fast and easy to understand overview of the company stands from an internal and external view simultaneously.
Producing such dashboards and reports requires in-depth know-how of the industries (e.g. banking, insurance, etc.) an artificial intelligence technologies (machine learning, NLP, etc.).
Dydon has built a network of external an internal partners and universities to bring leading edge solutions to its customers.