Quantitative research The company has secured a $200 million growth investment to accelerate the international expansion of its risk-related AI platform for financial crime prevention.
Company Graphite The platform is used by multinational financial institutions and government agencies to combat financial crimes. It uses internal and external data along with purpose-built language models to run it Proxy mediator This supports investigations and uncovers hidden networks, Quantifind said on Friday (June 26). press release.
QuantFind will use the new investment to accelerate its expansion across Europe, Asia Pacific and the Americas by strengthening regional partnerships, enhancing regulatory alignment and expanding local risk intelligence capabilities, according to the statement.
“Modern financial crime operations require accuracy, speed, scale and explainability simultaneously – and there is no acceptable trade-off between them in regulated environments,” Quantifind CEO and Co-Founder Yes, Tushman he said in the release. “As AI transforms risk operations, success will depend on governed AI systems grounded in trusted intelligence and human oversight.”
Quantifind’s growth investment was led by Summit PartnersWith participation from City projects, Standard & Poor’s Global, Deloitte and Stevens Collectiondepending on the version.
General Manager of Summit Partners Chris Dean AI-native risk intelligence has become essential for financial institutions and government agencies, and the Quantifind platform meets this need by providing highly accurate, interpretable and scalable enterprise-level information, he said in the statement.
“We are excited to partner with Ari and the team as they work to expand their global reach and continue developing trusted AI infrastructure for regulated risk environments,” Dean said.
PYMNTS Intelligence Report2025 State of fraud and financial crimes in the United States“It found that financial institutions are navigating an ever-changing risk landscape. 46% of these institutions said they are facing increasingly sophisticated fraud, and 47% said they are managing regulatory pressures.
Facing these challenges, 68% of financial institutions said they increased their fraud detection budgets year after year. They are deploying a mix of solutions, including strengthening fraud defenses, including outsourcing, cloud platforms, new internal systems, deep learning and machine learning, according to the report.
“Taken together, these actions point to a diversified modernization strategy, as organizations expand infrastructure, enhance internal tools, and adopt advanced analytics to keep pace with evolving fraud threats,” the report said.
