Fraud and AML tools influence decisions about customers, which raises the bar on explainability and oversight. These listings summarise what each vendor states, with notes on what to confirm before a pilot.
4 tools listed · Content last fact-checked: 7 October 2026
AI-native fraud and AML platform covering real-time transaction monitoring, scam detection, and watchlist screening for banks and payment processors.
Well-funded (over $355M raised) and built end-to-end for the financial crime lifecycle, from account opening through AML compliance. Enterprise sales, quote-based pricing — expect a sales conversation.
AI-driven AML and financial crime risk platform — sanctions, PEP and watchlist screening, transaction monitoring, and adverse media checks.
London-headquartered (formerly Mimiro), recognized as a leader in AML software. Notably offers a free tier to start, unlike most tools in this category — worth trying before committing to enterprise pricing.
Munich-based AML transaction monitoring and fraud prevention platform, combining rules-based detection with explainable machine learning for banks, payment companies and fintechs.
Built specifically around 'explainable AI' — every machine decision is documented for regulator review, which matters more in this category than in most, since an AML system that can't explain its own alerts is a real supervisory problem. Series C funded ($57M raised); enterprise sales.
Prague-based fraud detection platform focused on document fraud, automating document workflows and transaction monitoring for financial services risk and compliance teams.
Narrower focus than Feedzai or ComplyAdvantage — specifically strong on document and identity fraud rather than full transaction monitoring, so check whether it complements or duplicates tools you already run. Series B funded ($25M raised).
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