Screen Smarter.
Move Faster.
Stay Compliant.

Use proprietary fraud signals to block risky users before AML checks and automate global customer screening and ongoing monitoring — all in real time, through a single API.

Batch Screening Delays Detection

Legacy AML screening uses batch-based checks that delay detection and client onboarding. Manual reviews, exports and bottlenecks stall investigations and slow reporting. SEON automates AML screening, surfacing fraud signals before KYC to block bad actors earlier, so you can focus on real risk.

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Pre-Screen Bad Actors Before KYC

Block users onboarding with risky IP locations, limited online presence and suspicious device setups before they enter your KYC funnel.

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Screen Customers in Real Time

Check individuals and entities against global sanctions, crime lists, watchlists, PEPs, RCAs & adverse media sourced directly from authorities.

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Create Rules Logic Your Way

Set detection rules with unmatched precision by user, segment, behavior, geography or any custom data point — giving you nuanced screening and control with ultimate flexibility.

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Customize & Automate Monitoring

Choose what, when and how often to monitor. Fine-tune screening by adjusting fuzzy logic, FATF crime categories and data sources to align with compliance priorities.

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Take a Tour of Our Real-Time Solution

See How Our Customers Stop Money Laundering

“It is a robust analytics and risk management system that offers customizable options for setting relevance thresholds and reducing false positives. This system seems particularly useful for compliance purposes, allowing the team to monitor customer behavior, background, and appearances on lists for various reasons.”

Monika Zaja

Fraud Manager, YSI

“It is a flexible tool that helps us track possible money laundering activity with features that are highly customizable and help a lot with automation. The high number of sources that the feature has allowed analysts to consider their decisions from different perspectives. This allows the relevant teams to further their knowledge of the customers and for the company to stay compliant.”

Márton Hajagos

Fraud Analyst, Patrianna

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