MENLO PARK, CA, Quantifind, a provider of solutions that use data science to help automate financial crimes investigations, lands 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.
Quantifind offers a comprehensive and fully automated screen for external financial fraud and money laundering risk factors. Quantifind provides a single point of entry for all external data that might be relevant to a financial crime investigation. Machine learning intelligence and data curation automation help investigators save 40% of their time and provide consistent reporting to regulators.
Quantifind's Graphyte platform leverages state-of-the-art entity 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.
Unlike other negative news scans or watchlist screening solutions, Graphyte uses artificial intelligence to solve for both accuracy and relevance. Quantifind's 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.
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