Fraudio offers a precise, easy-to-use anti-money laundering platform that provides future-proof protection for your business.
Our solution is designed to be implemented quickly, offering measurable value within weeks.
Our solution can be easily integrated into your existing systems via API connection and cloud-hosting, allowing for faster implementation and scalability.
Our solution uses a combination of easy-to-implement rules and cutting-edge AI/ML models to analyze financial transactions and identify patterns and anomalies, reducing false positives and allowing for efficient investigations.
Our solution uses advanced anomaly detection techniques to identify new and unknown money laundering patterns, allowing you to stay ahead of emerging threats.
Our AI/ML models are self-learning and benefit from powerful network effects generated by the billions of transactions and trillions of data points, allowing the models to improve over time.
Our solution includes a simple and easy to use case management system that allows compliance teams to easily investigate flagged transactions and take appropriate action.
Our solution allows you to easily adjust transaction monitoring thresholds, depending on your company's risk policies and tolerance level, ensuring that you only flag relevant transactions.
Anti-money laundering (AML) refers to the set of laws, regulations, and procedures designed to prevent criminals from disguising illegally obtained funds as legitimate income. AML obligations apply to financial institutions, payment processors, acquirers, issuers, and fintechs that handle financial transactions. Regulators such as central banks, FATF, and card schemes like Visa and Mastercard enforce AML compliance requirements globally. Failure to comply can result in substantial fines, license revocation, and reputational damage.
AML works through a combination of automated transaction monitoring, risk scoring, and investigation workflows that together make it difficult for illicit funds to pass through undetected. Financial institutions apply rules-based controls and AI models to flag behaviour inconsistent with a customer's or merchant's known profile. When a suspicious transaction or behaviour is identified, compliance teams investigate the alert and file a Suspicious Activity Report (SAR) if required by their regulator. Fraudio's AML solution handles all of these steps within a single platform, from automated alert generation to case management to SAR download. The result is faster investigations, fewer false positives, and a complete audit trail for every decision made.
Common anti-money laundering examples include structuring (also called smurfing), where large sums are broken into smaller deposits to avoid detection thresholds. Another example is layering, where funds are moved rapidly across multiple accounts or jurisdictions to obscure their origin. Transaction laundering - where a merchant processes payments for undisclosed or illegal goods under a legitimate-looking business - is a major threat for payment acquirers. Shell company fraud and trade-based money laundering, where goods are over- or under-invoiced in cross-border trade, are also widely documented typologies. Fraudio's AI models are trained on billions of real transactions to detect all of these types of anti-money laundering patterns as they emerge.
Preventing money laundering requires a combination of robust customer due diligence (KYC/KYB), real-time transaction monitoring, sanctions screening, and automated alert management. Effective anti-money laundering prevention relies on AI-powered detection that adapts to evolving criminal typologies - static rule-based systems alone are insufficient. Payment companies should deploy solutions that monitor all payment flows, including cards, instant payments, transfers, and payouts, across every entity in their portfolio. Fraudio's AML solution integrates with PEP lists, sanctions databases, and adverse media feeds to give compliance teams a 360-degree view of risk. With Fraudio, customers can go live with real-time anti-money laundering monitoring in weeks, not months.
Yes, Fraudio uses advanced AI and machine learning at the core of its anti-money laundering solution, combining supervised models, unsupervised anomaly detection, and link analysis. What makes Fraudio's AI uniquely powerful is its patented centralized dataset: models are trained on billions of transactions from across Fraudio's entire customer network, not just a single institution's isolated data. This network effect means Fraudio's AML AI starts detecting threats from the first transaction processed, with no lengthy ramp-up period. The AI is fully explainable, so compliance teams can document exactly why a transaction was flagged - a requirement for many regulators. Self-learning models continuously update as new money laundering patterns emerge, ensuring protection remains current without manual intervention.
Any company that processes, moves, or facilitates financial transactions is typically subject to anti-money laundering regulations. This includes card issuers, merchant acquirers, payment facilitators (PayFacs), neobanks, digital wallets, remittance companies, and instant payment providers. Regulatory requirements vary by jurisdiction, but frameworks such as PSD2, FATF guidelines, and central bank mandates apply across Europe, the Middle East, Asia-Pacific, and Latin America - all markets Fraudio actively serves. Companies obtaining an EMI (Electronic Money Institution) license are required to have a compliant AML transaction monitoring solution in place before operating.
Fraudio's anti-money laundering solution can be integrated and operational in as little as a few weeks via API connection - compared to the 5 to 14 months required by many legacy AML platforms. The integration process begins with a kickoff call, followed by technical API connection, data quality validation, and dashboard configuration. Customers with historical transaction data can provide it at setup to enable more precise model calibration from day one.
It’s free of charge with no commercial obligations. No catch.
If you’re happy with the results and want to work with Fraudio then you can integrate with our API to get fraud detection scores in real-time. These steps are described in our Fraud Scoring API integration manual.
Yes! We have experienced that some fields that were generally considered as not useful, have turned out to be useful in the end.
Yes! If this fits into an Excel or CSV file, that is more than fine, we will do the selection work for you. Please note: do not send us the full card number or CVV. If it doesn’t fit into a file, we will find a way.
At Fraudio we are always looking for ways to improve what we do and how we do it, so that we have the best possible products and service for our customers. Do you have feedback for us? If so, please tell us here!
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