Swiss, secure, transparent and explainable AI specialised for fintech & regtech
We built our AI platform with one goal in mind: to make navigating complex regulations simple, fast, and reliable.

Swiss AI trusted by leaders in finance
Founded in 2016 by Dr. Hans-Peter Güllich, Dydon AI is a Swiss-based RegTech and AI company with deep expertise in sustainability reporting and compliance. Dydon AI is partner of the Association of German Public Banks (VÖB) and its subsidiary VÖB-Service GmbH for the development of the AI solution for the EU Taxonomy “TAXO TOOL”.


Secure, transparent and explainable AI
What makes our company unique is our proprietary AI platform that combines Natural Language Processing (NLP), Agentic AI and Machine Learning (ML) to intelligently analyse, interpret, and extract data from unstructured documents. This enables precise and automated capture of ESG-related information, digitalisation of regulatory requirements, and advanced capabilities such as gap analysis and intra-policy comparison—core tools for ensuring compliance and reducing reporting burdens.
Dydon AI in numbers
_2016
Founded in 2016 by Dr. Hans-Peter Güllich in Herrliberg (Zürich)
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Dydon AI has grown to a 20-people team working remotely from Switzerland and across Europe.
_100+
Financial institutions are using our AI solutions across Germany and Europe
_2000+
The users of our AI solutions
_Why Dydon AI
We enable

sustainable decisions
_Make your company ready for sustainable investments
Artificial intelligence (AI) allows financial institutions and investors to collect and analyse more information than ever before, when accounting for environmental, social, and governance risks and opportunities. Indeed, AI can help financial institutions and investors direct their funds to more sustainable companies, and most importantly help the companies getting compliant with the new EU sustainability regulations.
How Dydon AI’s technology works
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Data Capture and Crawling
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Natural Language Processing and Data Preparation
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Calculating KPI’s for the ranking
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Prediction: aggregation via linear and non-linear inference
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Transparent result presentation