Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat election tampering. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.
Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
B2B
51 to 100
Funded
$68.3 M
Scaling Up
2008
Technology
IT Consulting & Other Services
Financial Services
Computer Software
N/A
Increase Efficiency
Risk (AML, Fraud)
Service
Yes
Active
Machine Learning
N/A
Software
Data Scientist
Menlo Park, California
Product Manager
Menlo Park, California
Software Engineer
Atlanta, Georgia
Senior Front-end Software Engineer
Menlo Park, California
Customer Success Manager
Remote, Remote
AI/ML Professionals
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1
$23M
Company was founded 2008 and it took almost 15 years (Mar 2023) to raise first external round
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