Our deep roots in data science
Ari Tuchman and John Stockton met as fellow quantum physicists with a mutual passion for extracting signals from data, and together founded Quantifind in 2009. Their pioneering work involved building machine learning technology to discover meaningful patterns across large, disparate, unstructured datasets.
Quantifind’s first project brought structure to unstructured data, extracting trends from a vast library of scientific literature. Their early success was followed by the pursuit of opportunities in defense, finding illicit patterns across disconnected data sources.
Today and tomorrow, a focus on detecting risk and fighting crime
Through continued growth, Quantifind built a SaaS platform to address financial risk management and anti-money laundering by helping banks improve the efficiency of their AML investigations. It replaced out-of-date tools that lacked the data coverage, accuracy, and features that investigators needed to be effective as transaction volume grew.
Today, Quantifind’s Graphyte™ platform embodies over a decade of R&D and deployment experience in machine learning, natural language processing, risk modeling, name science, knowledge graphs, and entity resolution, and is helping many large financial institutions and government agencies to combat financial risk and crime.