Quantifind, a Menlo Park, CA-based provider of solutions that use data science to help automate financial crimes investigations, raised $22m in strategic growth funding.
Backers included S&P Global, In-Q-Tel, and Snowflake Ventures, which joined existing investors.
The company will use the funds to execute its go-to-market sales and marketing initiatives, as well as for continued advancement of its solutions for combating money laundering and fraud.
Led by Ari Tuchman, CEO, Quantifind provides the Graphyte™ platform, which drives automation in anti-money laundering and fraud investigations by automatically extracting predictive risk signals from vast stores of public data. Data sources include all of 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. 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.