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Case Study

Uncovering hidden connections

Uncovering hidden connections

Whether through corruption, fraud, or counterparty risk, bad actors present a significant challenge for both the public and private sectors. Organisations have a responsibility to understand how various entities within their third-party network are connected.

Delivering transparency within the public and private sector has historically been a retrospective process, relying on whistle-blowers or time-intensive investigations and desk research to bring potentially criminal behaviour to light.

The solution

WOW (Who Owns What) is an AI-enabled Search & Discovery platform designed to uncover the hidden connections that exist between individuals, businesses, documents, places and events.

Utilising Large Language Models, the platform automates and accelerates desk-based research, enabling your business teams to extract the critical intelligence they need to make decisions.

The solution can combine data from UK Companies House with a host of other public interest datasets including The Register of Members Interests, Awarded Public Contracts, The Charities Register alongside clients’ own private datasets.

WOW features a sophisticated data management capability that can easily ingest and combine data from structured, semi-structured, and unstructured public, private, and third-party data sources to identify the complex links that exist between them.

  • Knowledge Graphs
    WOW allows users to surface previously unseen (or deliberated obfuscated) connections by showing linkages that exist between individuals, organisations, events, places, and documents.
  • No-code User Interface
    WOW features a no-code user interface that is designed to eliminate skills and resource bottlenecks by providing business domain experts with the advanced data analytics and artificial intelligence tools that they need to drive critical business decision-making.
  • Multimodal Search
    The platform’s multimodal search and discovery features enable users to interrogate their data for both patterns and behaviours, and individual entities in a variety of ways including temporal, geographic, text, semantic, and relational.
  • Large Language Models
    The platform is designed automatically discover and summarise topics, allowing users to sift through vast amounts of information quickly and efficiently. Imagine being able to extract key insights and statistics effortlessly, enabling more comprehensive due diligence.
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by PJ Kirk

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