Analytics startup Quantifind secures $22m financing to accelerate market for automated financial crime and risk investigation

Published: 22-01-2021 14:02:00 | By: Pie Kamau | hits: 4838 | Tags:

Artificial Intelligence

Venture Capital & Private Equity

Quantifind, a provider of solutions that use data science to help automate financial crimes investigations announced a strategic growth funding round of $22 million. Quantifind will use the funds to execute its go-to-market sales and marketing initiatives, as well as for continued advancement of its best-in-class solutions for combating money laundering and fraud.

Its existing investors are joined by S&P Global, In-Q-Tel, and Snowflake Ventures. With this strategic round, Quantifind will also expand the applications of its technology to financial health and intelligence investigations.

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, focus their resources on their highest-risk transactions, and improve their detection of money laundering. The power of Quantifind's SaaS platform is easily leveraged through a seamless cloud integration.

Steve Krausz, General Partner, US Venture Partners and Quantifind Board Member: "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."

Marc Barrachin, Managing Director, New Product Development, S&P Global Market Intelligence: "Quantifind is a pioneer in extracting meaning from hidden signals found across disparate data sources. 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."

A.J. Bertone, Partner, In-Q-Tel: "Financial transaction analysis is critical to a range of national security applications, and Quantifind's technology enables Intelligence Community analysts to perform this work efficiently and accurately at scale. "We are pleased to welcome Quantifind to our portfolio and look forward to providing government agencies the tools they need to make better financial crimes decisions, faster."

Ari Tuchman, CEO, Quantifind: "We are fortunate to have the support of a consortium that can truly help Quantifind build upon our success in investigation automation. As we grow our AML/KYC practice, our team is excited to leverage synergies with S&P Global to offer similar solutions in the field of financial risk, and with In-Q-Tel to expand our footprint in predictive risk signal extraction for defense and intelligence applications.

www.quantifind.com

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