Automated Screening for the Digital Age

End-to-end Screening to instant identification of risks associated with PEPs, Sanctions and Watchlists. Global datasets power comprehensive coverage, while AI enables highest levels of discovery and efficiency.


World Class Name
Matching Engine

Leverage a world class name matching engine helping teams reduce challenges of name and language variations across cultures

Delta Screening

Surveil targets based on
additions or enhancements
to existing risk checks


Clearing a name or entity
from future screening
processes based on previous
review results

Multilingual Input

Accept input in multiple
languages and review results

Custom Scoring

Customize scoring for Entry
and cases based on risk
types and use cases

Automated Report Generation

Specify report format and types based on use cases and details required

Case Management & Customizable Workflow

Customizable case management workflow with user roles enabling global teams to collaborate seamlessly


Reduce False Positives

Cut down false alerts, optimizes efficiency by precisely identifying targets, ensuring compliance and derisk external engagements

Reduce Manual Inputs

Decrease manual tasks, optimizes operations, accuracy, and compliance, saving time and resources effectively

Work On Targeted Risks

Choose specific risk areas based on regulators and risk use cases

Audit Trail-Based Reporting

Step-by-step record of activities, comments and findings for audit and regulatory purpose

Screen Large Amounts Of Data Quickly

Analyze vast data volumes, enabling rapid detection of high risk targets bolstering regulatory compliance effort

Accurate and Up-to-date Results

Deliver precise and current results, ensuring compliance with regulations and effectively mitigating financial crime risks



  • Phonetic and/or spelling differences
  • Missing name components
  • Rarity of a shared name component
  • Initials
  • Nicknames
  • “Cousin” or cognate names
  • Uppercase/Lowercase
  • Reordered name components
  • Variable Segmentation
  • Corresponding name fields
  • Truncation of name

RZOLUT’s name matching engine provides the capability to perform name matches, name searches, and translations across multiple languages and scripts. The natural language processing algorithms utilize machine learning (ML) and cutting-edge NLP techniques for matching.

The scores serve as a relative indication of how similar two names are, or how a search name matches a target name; the higher the score, the stronger the match. With the ability to customize the scoring engine, the product offers teams the flexibility to configure it based on risk.