Sygno, a Leusden-based provider of AI software for detecting fraud and money laundering, has received a strategic investment from TIN Capital and ROM Utrecht Region. The exact amount has not been disclosed. The funding is intended for the continued development of Sygno's explainable AI models and for international expansion.
Sygno focuses on financial institutions looking to improve their transaction monitoring systems. The software automatically generates AI models based on a client's own data and regulations, and runs within that client's systems, meaning the client retains full control over the data. The company was founded in 2021 by Sjoerd Slot and operates in the market for so-called regtech, the combination of technology and financial compliance.
TIN Capital had previously invested in Sygno through the Dutch Security Tech Fund. ROM Utrecht Region is making its investment through the Startup Innovatie Fonds (SIF). TIN Capital raised €15 million earlier this year for its Cyber Tech Fund V and typically invests between €1 million and €10 million per company.
Fewer false alerts, greater detection accuracy
The core problem Sygno addresses is a well-known bottleneck in the sector: transaction monitoring systems at banks and other financial institutions generate large numbers of false alerts. Compliance teams consequently spend significant time manually reviewing suspicious transactions that turn out to be benign, while genuinely suspicious patterns can be missed.
Sygno's approach combines existing monitoring systems with additional AI layers. The models are built automatically on the basis of an institution's transaction data and internal rules, making them specifically tailored to its own customer population and risk profile. According to the company, this results in both fewer false positives and a higher hit rate for genuinely suspicious activity.
A notable feature is the emphasis on explainability. Where many AI models function as a 'black box', the outcomes of Sygno's models are traceable. This is relevant for financial institutions that must be able to justify to regulators why a particular transaction was flagged, or why it was not.
European origin as a deliberate choice
CEO Sjoerd Slot emphasised at the announcement the importance of trustworthy and ethical European alternatives within the AI sector. Sygno's technology is developed entirely in Europe and is also deployed within the client's own systems, rather than via external cloud infrastructure outside the EU. This makes the solution attractive to institutions with strict requirements around data localisation and GDPR compliance.
Roel Reijnen, partner at TIN Capital, is involved through the fund focused on cybersecurity and related technology. TIN Capital views the combination of AI applications and financial security as a growing segment, driven in part by tightening oversight under European regulations such as the Anti-Money Laundering Authority (AMLA), which is set to begin operations from Frankfurt in the coming years.
ROM Utrecht Region invests through the SIF in young, technology-driven companies in the Utrecht region. Sygno is based in Leusden, within ROM's operating area.
International growth as the next step
With the new funding, Sygno aims to expand its market reach beyond the Netherlands. The company explicitly cites international growth as an objective, though specific markets or timelines have not been announced. The financial sector in neighbouring countries such as Belgium, Germany and the United Kingdom faces comparable compliance challenges and regulatory frameworks, making expansion into those markets a logical move.
For the Dutch and broader European regtech sector, the funding round signals that institutional investors continue to view the combination of AI and financial compliance as a promising category. Pressure on financial institutions to automate and improve their anti-money-laundering processes is increasing, partly due to upcoming European AML regulation. Companies such as Sygno are positioning themselves as suppliers to that market, with the choice of explainable, Europe-built AI also aligning with the broader EU debate on the conditions under which AI may be deployed in sensitive sectors.