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Application

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Pain Points

  • Lack-of-clarity

    Not being able to look beyond the surface of the business entity data recursively (process called: penetration) and identify the ultimate owner (beneficiary) is a pain and risk to all who care about the business.

  • Lack-of-agility

    Speed, efficacy and intuitiveness are hard to attain without the right toolkit which is designed with appropriate data modeling and processing power.

Solution Characteristics

  • Deep Graph Traversal

    The UBO parties may hide many hops (layers) behind the surface, some UBOs intentionally hide and cross-owning their shares, making the overall owning structures highly complicated. The only ideal solution is to empower with deep graph traversal/penetration.

  • White-box AI

    For UBO identification, 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.

  • Lightweight Architecture

    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.

Advantages

  • Modeling the business entities data in connected fashion is crucial in solving the hidden beneficiary problem, Ultipa Graph is designed from ground up to tackle this.

  • Ultipa provides both the highly efficient graph data modeling, and powerful storage engine and computing engine for real-time beneficiary lookup via deep graph traversal.

  • Ultipa also comes with an intuitive and performance-tuned visualization manager, it makes the beneficiary penetration process hassle-free and lightning fast.