Quantifind is a machine learning platform and software provider used by consumer brands and financial institutions to discover signals of revenue drivers and risk, including fraud and money laundering. The company's algorithms extract signals from external, unstructured data by correlating it to private company data, such as sales data and customer records. Quantifind was founded in 2009 by Ari Tuchman and John Stockton, two quantum physicists from Stanford University and Caltech. With early funding from the National Science Foundation, Quantifind worked on pilots for technology and defense intelligence mapping, before a meeting with Disney led the company to focus its data science on helping marketers optimize sales. The company then extended its data-driven strategy business into multiple verticals including retail, financial services, entertainment, consumer packaged goods, telecom, and QSR. In 2018, Quantifind began applying its signal extraction methodology to help banks fight money laundering. Quantifind's headquarters are located in Menlo Park, California, with additional offices in New York City and Washington, D.C.
Description
Quantifind's technology focuses on signal extraction across structured and unstructured data sets. For brand intelligence applications, the Quantifind platform correlates consumer language patterns with "sales or other important key performance indicators " to explain drivers of revenue and identify strategic opportunities. The same technology is used to identify meaningful trends and help firms with crisis management by distinguishing important crisis events from typical social noise. In 2018, Quantifind began working with financial institutions to fight money laundering and manage risk. Their entity-centric technology is able to link data sets using named entity recognition and linking, to identify which customers and organizations present a fraud, money laundering, or reputational risk to the bank. In 2019, the company announced partnerships with Acuris Risk Intelligence and Oracle to "transform Anti-Money Laundering processes" using enrichment from public data sources. Quantifind's clients consist of Fortune 500 consumer companies, with a focus on top tier banks and restaurant chains, as well as private equity firms.Investors in Quantifind include Redpoint Ventures, U.S. Venture Partners, Comcast Ventures, Andreessen Horowitz, Iris Capital, Cathay Innovation, Jerry Yang’s AME Cloud Ventures., and Joseph Grundfest.
