Adverse Information and Media Insight

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Overview

When you have the most accurate database of adverse information and media entities in the world, there’s no need to check anywhere else.

AIM Insight, powered by huge advancements in Machine Learning technology, identifies adverse information and media across millions of uploaded articles per day to create entity-profiles with contextual information.

It automates the manual process with accuracy and without human fatigue. We know which customers have been reported for disqualifying offenses so financial institutions can onboard their customers secure in the knowledge that they’re making the right decision. Our Machine Learning technology scans articles across hundreds of countries.

This entity-focused approach is more efficient than traditional article-based tools that create an unmanageable workload by alerting analysts to every mention of an entity and it’s far more efficient than manual search. Instead, there’s one profile with all the information an analyst needs. Our technology-led approach is consistently more cost effective and efficient than traditional approaches, processing millions of articles per day. In contrast, a team of 50 researchers working an 8-hour day without breaks can only process 24,000 adverse media articles. AIM Insight means financial institutions can screen and onboard customers faster, protect business and remain compliant with expectations set by major regulators, all while reducing the cost of compliance.

One of our clients Santander reduced the cycle time of applying for an account to opening it from 12 days to just 2. Resulting in an 80% reduction in effort for employees and freeing up time to better serve customers.

Key Features

Configurable API

Our unique API solution has been designed to provide you with all the functionality you need to integrate our data and services into your anti-money laundering processes. Through structured data and automation, you can streamline your internal processes, reduce manual workload and produce a more accurate picture of risk.

Web-enabled interface

Be alert to changes in customer and organization risk status, with automated adverse information & media monitoring. AIM Insight is an enterprise-level solution with a powerful API and audibility.

FATF aligned taxonomy

Our adverse media profiles are assigned at least one category depending on the type of media they have been associated with. Categories enable users to refine their search to reduce irrelevant risks, or to distribute risk across different teams, and to better understand the context of a profile.

Search algorithm

Every day, our algorithms read millions of articles across hundreds of countries. We identify every name in every article. Every person. Every organization. We analyze media context related to each name throughout these articles. We identify crimes and categorize them by type, adding contextual information such as abbreviations or nicknames, dates of birth, age, locations, and associated entities.

Key Benefits

Leveraging industry-leading technology, such as Artificial Intelligence, to deliver the only real-time risk database in the world related to Sanctions, Watchlists, PEPs and Negative News. Specifically, our machine learning systems make use of the latest developments in natural language processing and deep learning, and are able to understand the true context of media in order to pull out and consolidate relevant data into useful information for our customers.

Our approach is a leap forward compared to traditional manual analysis and keyword searches - we find relevant risk far quicker and more accurately which is critical in being able to help in the fight against financial crime. One of our clients Santander reduced the cycle time of applying for an account to opening it from 12 days to just 2. Resulting in an 80% reduction in effort for employees and freeing up time to better serve customers.

For further information regarding the results seen by Santander click here: https://www.youtube.com/watch?v=jfde5zdcHOM&feature=emb_title

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