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Quantifind'sGraphyte platform boosts automation in anti-money laundering and fraud investigations by automatically extracting predictive risk signals from vast stores of public data.
Fremont, CA: Quantifind, a provider of solutions that use data science to help automate financial crime investigations, has declared a strategic growth funding round of $22 million. Quantifind will utilize the funds to execute its go-to-market sales and marketing initiatives and for the continued advancement of its best-in-class solutions for combating fraud and money laundering. Its existing investors are joined by In-Q-Tel, S&P Global, and Snowflake Ventures.
Quantifind's Graphyte platform boosts automation in anti-money laundering and fraud investigations by automatically extracting predictive risk signals from vast stores of public data. It is utilized by customers to automate their risk monitoring and anti-money laundering (AML) investigation processes, focus their resources on their highest-risk transactions, as well as improve their detection of money laundering. The power of Quantifind's SaaS platform is easily leveraged via seamless cloud integration.
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"In the face of exploding expenses in AML compliance, Quantifind leverages a decade of machine learning R&D to disrupt the investigative process with much-needed automation," says Steve Krausz, General Partner of US Venture Partners and Quantifind board member.
With this strategic round, Quantifind will also extend the applications of its technology to financial intelligence and health investigations.
"Quantifind is a pioneer in extracting meaning from hidden signals found across disparate data sources," stated Marc Barrachin, Managing Director, New Product Development at S&P Global Market Intelligence. "Data on small- and medium-scale private companies can be minimal or unavailable, and the ability to identify meaningful leading indicators signaling change in their financial health is critical to our customers. The Quantifind technology plays a vital role in extrapolating relevant signals for a large universe of companies."
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