- 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
- 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 registration
- It used by customers to automate their risk monitoring and anti-money laundering (AML) investigation processes
