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Quantifind gets USD 22 mln to automate financial crimes investigations

Monday 25 January 2021 10:04 CET | News

Quantifind, a provider of solutions that use data science to help automate financial crimes investigations, has announced a strategic growth funding round of USD 22 million.

Its existing investors are joined by S&P Global, In-Q-Tel, and Snowflake Ventures. Quantifind will use the funds to execute its go-to-market sales and marketing initiatives, as well as for continued advancement of its solutions for fighting money laundering and fraud.

Quantifind's Graphyte platform drives automation in anti-money laundering and fraud investigations by automatically extracting predictive risk signals from vast stores of public data. It is used by customers to automate their risk monitoring and anti-money laundering (AML) investigation processes. The power of Quantifind's SaaS platform is leveraged through cloud integration.

The Graphyte platform automates financial crime investigations by extracting predictive risk signals from public data. The platform leverages resolution models learned over millions of training samples and applied in real time. In this way, Graphyte can establish the probability that a given linked data record is in fact a true match.

Quantifind's data sources include all the relevant sanctions and watchlists but also online news in Chinese, English, Spanish, and French, company data, legal entity registrations, and other non-standard entity lists.
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Keywords: Quantifind, funding, financial crime, machine learning, data, banking, anti-money laundering, fraud investigations, AML, CFT, Graphyte
Categories: Securing Transactions | Digital Identity, Security & Online Fraud
Countries: World
This article is part of category

Securing Transactions