In the world of business, many owners have chosen to hide their identities from surface, they designed scheme to use layers of intermediary companies to gain anonymity or tax benefits or simply for fraud or money-laundering purposes. During the KYC (Know Your Customer) or law-enforcement inspection processes, with Ultipa’s deep graph traversal capabilities, it’s possible to identify the eventual beneficiaries with appropriately modeled business data. Ultipa is 100s to 1,000s of times more efficient, therefore real-time and highly concurrent in conducting such queries, which would have been a manual or labor-intensive activity otherwise.
Not being able to look beyond the surface of the business entity data recursively (process called: penetration) and identify the ultimate owner (beneficiary) intentionally hiding and cross-owning their shares.
Empowering with deep graph traversal/penetration, Ultipa Graph offers the opportunity to not only identify the UBOs as fast as possible, but also explains the overall owning structure on the graph in a plain and explainable way, it’s basically automated white-box AI.
Speed, efficacy and intuitiveness are hard to attain without the right toolkit which is designed with appropriate data modeling and processing power.
UBO identification can be a daunting if not impossible challenge for inappropriate architecture design which are heavy, slow and overly complicated. Ultipa Graph changes all that with simplicity and lightweight design and super easy deployment.