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.