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Screen entities against sanctions lists while using advanced fuzzy matching algorithms to reduce false positives & ensure trade compliance.

Rapidly load and cleanse external data

Automatically cleanse data from internal and external sources to prepare for optimal screening. Our system makes provision for OFAC as well as for watch- and sanction lists from different providers.

Build entity screening rules swiftly

Our graphical user interface makes it easy to build and configure rules for entity screening based on the imported data, and can be configured in advance to make post-screening analysis easier.

Gain comprehensive view of screening result summary to refine outcome and maintain a full audit trail

Gain a comprehensive list of possible matches using the wide-net search process.  Apply exclusion filters (PEP, SIP, RCA, Gender, In-country-PEPs etc) to narrow down the scope and work towards the final ‘match’. The final match is recorded with a copy of the input data and all the possible matches along with details of the scores for audit purposes.

Improve workflow and case management

Our system allows you to manage tasks across multiple teams and track status of reviews through graphical analytics on the dashboard. Easily export matches to spreadsheets for further analysis.

See how our technology can help you

Platform architecture and services

The Napier Fortytwo Ecosystem comprises of two components:
  1. Application layer built upon micro-services
  2. Napier Business Applications, fully customisable for specific business needs
Data integration:
  • Fast integration through micro-services leveraging fault tolerant, self-healing architectures
  • RESTful APIs as standard for data integration and interactions with platform applications
  • Standard interfaces for common data ingestion (e.g. Flat-file, CSV integration, etc.)
  • Rapid interface development based on proprietary development framework

Our solutions./

Transaction Monitoring

Dramatically reduce false positives, while still detecting truly suspicious activity, with our machine learning-enabled transaction monitoring system designed to be used by non-technical business users in organisations of all sizes.

Transaction Screening

Run real-time searches on payment or transactional data against multiple watch and sanctions lists to make rapid decisions about the level of risk associated with payments beneficiaries and originators.


Screen clients or entities against designated sanction lists while leveraging a machine-learning programme and advanced fuzzy matching algorithms to reduce false positives.

Client Activity

Gain additional deeper insights about your customer’s activity with an automated ongoing review of all customer data - including transactions, payments and screening results - against their expected behaviour.

Risk-Based Scorecard Review

Perform enhanced risk assessments to generate a risk level for each client. Use these levels as part of a risk-based assessment to optimise your screening and monitoring processes.


Screen entities against designated sanctions and watch lists using advanced fuzzy matching algorithms to reduce false positives.


Ingest, enrich and analyse unprecedented quantities of data from multiple sources in real-time at a fraction of the cost (and in a fraction of the time) of legacy systems. Adding insight, whatever the sector.