Screening engine with AI-assisted name matching for accurate, low-noise detection
☑ Real-time screening at onboarding and throughout the customer lifecycle
☑ Cross-checks against sanctions, PEP, watchlists, and adverse media
☑ Seamless integration with your customer risk assessment process
Trusted by Advanzia Bank & Vinted
Sanctions, PEP, and adverse media screening is one of the most demanding parts of the compliance process. AMLYZE simplifies it by integrating screening results into your customer risk assessments – reducing manual workload and improving accuracy.
Our unique algorithm, incorporating over 40 different parameters, ensures precise comparison of your customers against various lists. Leveraging machine learning, we apply multiple layers of filtering to deliver the most accurate results.
Screen your customers and their related entities both initially and periodically. Our duplicate suppression mechanism ensures that you only see alerts when list or customer data changes, preventing unnecessary duplicate alerts.
Integrate customer screening results into your customer risk scoring. Minimise your screening risks by seamlessly linking screening results to customer scoring results.
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.
For individuals, we use name, date of birth, and country. For organizations, we use company name and country. You can also screen related entities and ultimate beneficial owners (UBOs) as part of the process.
Screening takes approximately 130 milliseconds per customer – fast enough to support real-time onboarding or bulk batch processing.
We work with leading global data providers and support screening against sanctions lists, politically exposed persons (PEPs), watchlists, and adverse media. You choose your preferred provider – we deliver the matching engine and case management.
Yes. You can define separate match thresholds and tuning parameters based on entity type and screening category (e.g. sanctions, PEPs, or media).
Our engine applies 40+ matching parameters and layered filtering logic, including duplicate suppression. This results in a false positive rate of under 1% based on live testing – helping your team focus on real risk.
Yes, in one specific place. Our engine includes Sama, an AI-assisted name-matching model built in-house by our data science team. It judges how closely two names refer to the same person or entity and feeds that signal into the existing matching layers.
Sama is opt-in. You decide whether it runs as additional information beside the conventional score, or as the score that feeds the alert. Either way, every match is shown with the scores behind it, and the analyst reviews the alert and decides.
Yes. The algorithm supports Latin-based, Cyrillic (Russian), and Greek characters, with built-in transliteration and fuzzy matching. Other languages have partial support. AI-assisted name matching adds a further layer for transliterations and spelling variants.
Screening results are automatically fed into the Customer Risk Assessment engine and case management. This creates a unified view of customer risk and enables consistent decision-making across compliance workflows.
You’re billed per unique customer screened, regardless of how many times that customer is screened within the agreed period – giving you flexibility without surprise costs.
