Centralized Due Diligence Platform

Our dynamic automated queries, which are optimized for each subject and data source, allow our platform to search numerous data sources in a short amount of time. This allows us to run an iterative search process using multiple queries, building upon verified results, to make sure we gather all possible relevant information.

Building profiles for individuals and entities requires searching through vast amounts of data, deciding which are relevant to the subject being searched, and which might be relevant to similarly named subjects. Our AI uses state of the art machine learning models to reduce false positive reporting by providing relevance scores for each piece of information based on already verified information and the context in which the subject exists. These automation tools allow us to provide comprehensive reporting through massive data collection, eliminating the research limitations faced by human analysts.

Finally, the AI models help our analysts find hidden patterns in data that can lead to adverse findings. For example, the model might scan news and media articles and identify adverse information related to the subject, connecting seemingly unrelated events such as a legal incident that coincides with a financial debt to indicate possible financial distress or fraud. Through its access to more data sources, ability to eliminate false positives, and group information based on multiple criteria, the AI model helps our analysts comb through details and identify patterns faster and more reliably.