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Power Law company profile

Quantifind

Fintech · Palo Alto, United States · Founded 2009

Quantifind is a cutting-edge company that specializes in automating financial crime risk screening and investigations. The company leverages artificial intelligence (AI) and external data to streamline Anti-Money Laundering (AML) and Know Your Customer (KYC) processes from start to finish. Quantifind's platform, Graphyte, empowers financial institutions to analyze entities more efficiently and uncover hidden risks, thereby enhancing performance and reducing false positives. Quantifind primarily serves financial institutions, including banks and credit unions, as well as other organizations that need to comply with regulatory requirements for financial crimes. The company operates in the financial technology (fintech) market, focusing on risk management and compliance solutions. The business model of Quantifind is based on a Software-as-a-Service (SaaS) approach. Clients subscribe to their platform to access its powerful AI-driven tools and data analytics capabilities. This subscription model provides a steady stream of revenue for the company. Quantifind makes money by offering its AI-enabled applications to financial institutions that need to perform risk assessments, credit checks, and adverse media screenings. By automating these processes, Quantifind helps its clients save time and resources while improving accuracy and compliance. The company boasts a decade of experience in machine learning and data science, which it uses to help clients automatically discover hidden criminal and financial risks. Quantifind's deep expertise in data science allows it to provide superior risk intelligence, significantly reducing false positives and enhancing entity resolution accuracy. In summary, Quantifind is a fintech company that uses AI and data science to help financial institutions automate and improve their risk screening and compliance processes. By offering a SaaS platform, Quantifind provides its clients with efficient, accurate, and cost-effective solutions for managing financial crime risks. Keywords: AI, fintech, AML, KYC, risk screening, compliance, data science, SaaS, financial institutions, automation.