Quantifind, a leading provider of risk intelligence solutions for financial crime compliance, made significant advancements in 2024 to empower organisations with cutting-edge investigative tools. Known for its innovative approach, Quantifind specialises in leveraging machine learning and data science to enhance KYC and AML efforts, helping financial institutions detect and mitigate risks effectively.
One of the standout additions is the Customer Resource Center, a comprehensive repository offering detailed insights into Graphyte products. The centre includes an encyclopaedia of risk typologies through its Risk Cards feature, providing users with a robust knowledge base for understanding the risk factors that drive their decisions.
Quantifind also introduced a dynamic dashboard for Continuous Monitoring, enabling customers to visualise key reporting metrics and customise compliance-focused reports. These enhancements simplify audit processes and strengthen adherence to regulatory obligations.
To support global risk assessments, Quantifind expanded its foreign language archives to include Japanese and Korean news sources. This addition increases the scope of available public records, enhancing the platform’s effectiveness in detecting financial risks across diverse markets.
Further advancing its data science capabilities, Quantifind improved its Entity Resolution and Risk Relevance functionalities using machine learning techniques. The upgrades leverage custom word embeddings and large language models, delivering heightened accuracy in identifying risks linked to individuals and organisations.
A critical addition to Quantifind’s dataset is Chinese company data, which includes information on four million state-owned or state-controlled enterprises. This dataset provides valuable insights into government affiliations and ownership structures, supporting more comprehensive risk assessments.
Quantifind’s technological advancements also extend to its patented Real-Time Cluster (RTC) system, enabling rapid searches across billions of records. Another significant achievement is the integration of relationship network data into its API. This feature allows users to automate solutions by accessing information on affiliations and beneficial ownership, providing a deeper understanding of relational risks.
In payments, Quantifind launched a Payments Risk Intelligence solution that uses AI to conduct large-scale counterparty risk assessments. Designed to maintain low false-positive rates, this solution broadens the scope of payment surveillance, even for entities with limited data.
Quantifind’s 2024 developments demonstrate its commitment to staying at the forefront of risk intelligence technology, empowering organisations to navigate the complexities of financial crime compliance with confidence.
