High-performance screening that goes beyond basic sanctions checks
☑ Real-time screening of counterparties, BICs, payment details, and ultimate parties
☑ <1% false positive rate for accurate alerts and low operational burden
☑ AI-assisted name matching, configurable logic, and case integration
Trusted by Advanzia Bank & Vinted
Screening payments is essential to meeting AML/CFT obligations and preventing prohibited transactions. By analyzing counterparties, BICs, payment details, and ultimate parties in real time, AMLYZE helps ensure sanctions compliance and reduce risk. Our precise matching algorithm minimizes false positives and improves efficiency – especially when combined with Customer Scoring and Transaction Monitoring.
Connect Payment Screening with Transaction Monitoring to act in real time. Automatically hold or flag transactions when screening detects potential risks — ensuring compliance without slowing down legitimate payments.
Choose which screening lists to apply and set custom thresholds by risk type. Apply stricter matching rules for sanctions and more flexible ones for adverse media – all aligned with your institution’s policies.
Our advanced algorithm delivers accurate name and country matching across structured and unstructured fields. Fewer false positives mean less noise, faster reviews, and stronger compliance outcomes.
Two things stood out with AMLYZE: it was not just an out-of-the-box solution – the team was attentive and responsive to our needs – and the platform itself is modern and intuitive. Despite a very ambitious timeline, AMLYZE helped us deliver the project successfully and improve efficiency across teams.
Since implementing AMLYZE, our compliance team has become significantly more efficient. Automated processes reduce manual work and improve accuracy, while the intuitive interface helps us quickly find information and make confident, data-driven decisions. It has truly simplified the way we manage complex AML tasks.
We were really impressed with AMLYZE’s sanctions screening and lower than 1% false positive rate, which is very important when dealing with a large base of customers. The AMLYZE dashboard looks impressive – it’s user-friendly, it’s very simple, and it’s intuitive. AMLYZE can also cover various compliance-related topics and it’s amazing.
Since launch, the number of processed transactions has increased at least 10 times without overloading the system. The precision of the rules reduced false positives, and every alert is now meaningful and worth investigating. The flexibility of AMLYZE allows us to fine-tune the system to detect possible financial crimes early, often preventing illegal activity before it happens.
We have been working with AMLYZE for a number of years. Integrated customer risk scoring, online and retrospective transaction monitoring have definitely improved our AML/CFT awareness and reaction time to analyze suspicious transactions. We feel that AMLYZE listens to our needs and responds to them on the best efforts.
We screen all relevant fields, including counterparty name, BIC, counterparty country, ultimate debtor/creditor name and country, and free-text payment details.
AMLYZE supports different performance tiers based on your needs. The base setup handles up to 10 transactions per second, and faster processing speeds are available for organizations with larger volumes or real-time requirements
You choose your preferred list provider. We work with leading sanctions, PEP, watchlist, and adverse media data sources – and provide the matching engine and case handling.
Yes. You can set different matching rules and thresholds for individuals vs. legal entities, and for various parts of the payment message (e.g., counterparty vs. payment details).
In standardized tests, our system delivers a false positive rate as low as 0.2%, with 97–99% effectiveness – even with manipulated or transliterated names.
Yes, for name matching. Sama is an AI-assisted model built in-house by our data science team. It scores how closely two names refer to the same person or entity and feeds that into the existing matching layers. Sama is opt-in and applied selectively, on a controlled set of matches. Every match is shown with the scores behind it, so screening results stay reviewable and explainable.
Absolutely. You can link screening results to transaction rules – for example, to automatically stop or review payments with confirmed or potential matches.
Yes. Our algorithm supports Latin, Cyrillic (e.g., Russian), and Greek scripts, and can transliterate or compare across languages as needed. Support for other languages depends on the data provider. AI-assisted name matching adds a further layer for transliterations and spelling variants.
Yes. You can apply separate list sets and match configurations for different workflows – such as stricter matching for payments and broader fuzziness for onboarding.
