Ripjar Solutions

AML Compliance

Ensure AML compliance by screening your customers,
vendors and supply chain against watchlists, PEP lists,
sanctions lists and news media.

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Financial Crime
Watchlist Screening | Adverse Media Screening
Transaction Screening | Supply Chain Risk
Financial Crime Investigations

Cyber Security
Ripjar's data intelligence platform has been built to investigate, respond and share critical insights on cyber threats from any data source.

Labyrinth Decision Intelligence
Empowering government and other organisations' analysts to monitor and investigate threats and deliver insight with Ripjar's AI-enhanced high and low side data fusion.

Adverse Media Screening
Pinpoint risk with continuous adverse media and watchlist monitoring, featuring industry-leading entity resolution and innovative AI Risk Profiles.

Labyrinth
Platform

A flexible and powerful platform to fuse, search, and discover answers across boundaries.

Platform Overview

Automation Reimagined
Scale your data intelligence operations
with an army of configurable bots.

Ripjar Knowledge Graph
Billions of data points. Thousands of
sources. Automatically fused, resolved and
linked into a global intelligence graph.

Next Generation
Risk Screening

Real-time detection of financial crime for global institutions.

Transform Your Risk Screening

Automate and improve your adverse media and watchlist screening programme with our unique technology.

50-80%
Reduction in false positives

100%
accuracy improvements
for watchlist lookups

100%
recall improvements
for watchlist search

*Average figures dependant on existing deployed legacy solution

The Hidden Costs of Legacy Approaches

01

Too many False Positives

Legacy solutions rely on outdated techniques such as 'fuzzy' search for matching entities against structured & unstructured data.

02

Too resource intensive

Analysts are drowning in data and alerts; ad-hoc risk assessments require manual effort to sort through the noise.

03

Data in different places

Exisiting systems do not consolidate a single client view on risk, creating inconsistencies in the risk management framework.

04

Lack of continuous monitoring

Search-based approeaches may mean months may go by between reviews, even when new data enters the system.

Our Solution

Screening clients in real time against
Adverse Media and Watchlists

50-80% Reduction
in false positives compared to legacy solutions
100% improvement
in recall and accuracy for watchlist screening
94% improvement
over primitive "fuzzy matching" technology
50% of client searches
return more data analysts can ever read, 30% of searches return no results at all

Our platform

Labyrinth provides seamless automation and fusion over any data source

Global Illumination of Risk - alert on new, relevant data 24 hours a day, 365 days a year.

Real Time Entity Resolution - a global knowledge graph which more accurately identifies entities using contextual data such as dates or locations.

Unique Data-Driven Matching Engine - AI trained on billions of names gives unprecedented accuracy in watchlist and adverse media monitoring.

NLP-based classification of News with unmatched deduplication and filtering - 99% reduction in noise and irrelevant content.

Learn More About Labyrinth