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Transaction Monitoring

Rapidly build and test rules to reduce false positives within your transaction monitoring processes with our machine learning-enabled product which is designed to be used by non-technical business users in organisations of all sizes.

Define and build rules

Build and define rules easily using our flexible graphical user interface. No need to write code.

Simulate, test and deploy

Rapidly test scenarios and assess the impact of new rules and regulations in the platform's ‘sandbox’ simulator before going live.

Enhance your analysis

Run transaction monitoring together with machine learning. Our system produces two scores: one from rule-based scenarios; and the other from advanced machine learning algorithms. You can then compare these scores to understand and prioritise your teams daily workload.

Manage cases and workflow

Enable your teams to co-manage cases through a single, self-auditing platform that defines and unifies every step of an investigation.

See how our technology can help you

Call us on +44 (0)20 8242 4828 or

Platform architecture and services

The Napier 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

Rapidly build and test rules to reduce false positives within transaction monitoring processes with this machine learning-enabled product which is designed to be used by non-technical business users in organisations of all sizes.

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AML
AML

TRANSACTION
Screening

Screen parties involved in transactions and utilise machine learning  programme and advanced fuzzy matching algorithms to reduce false positives.

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client
Screening

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

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AML

CLIENT Activity
Review

Automate the review of customers and their accounts against expected behaviour to fulfil regulatory requirements efficiently with a full audit trail.

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AML

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 optimize your screening and monitoring processes.

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AML

Entity
Screening

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

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Trade compliance

BIG DATA PLATFORM

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.

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