Quantifind has secured a $200 million growth investment to accelerate the international expansion of its artificial intelligence (AI)-native risk intelligence platform for financial crime prevention.
The company’s Graphyte platform is used by multinational financial institutions and government agencies to combat financial crime. It uses internal and external data together with purpose-built language models to power agentic middleware that supports investigations and uncovers hidden networks, Quantifind said in a Friday (June 26) press release.
Quantifind will use the new investment to accelerate its expansion across Europe, Asia-Pacific and the Americas by strengthening regional partnerships, advancing regulatory alignment and extending localized risk intelligence capabilities, according to the release.
“Modern financial crime operations require accuracy, speed, scale and explainability simultaneously — there is no acceptable tradeoff among them in regulated environments,” Quantifind CEO and Co-Founder Ari Tuchman 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 Partners, with participation from Citi Ventures, S&P Global, Deloitte and Stephens Group, per the release.
Summit Partners Managing Director Chris Dean said in the release that AI-native risk intelligence is becoming fundamental for financial institutions and government agencies, and that Quantifind’s platform meets this need by providing high-precision intelligence, explainability and enterprise-grade scalability.
“We are excited to partner with Ari and the team as they work to extend their global reach and continue advancing trusted AI infrastructure for regulated risk environments,” Dean said.
The PYMNTS Intelligence report “2025 State of Fraud and Financial Crime in the United States“ found that financial institutions are navigating a risk landscape that is continuously changing. Forty-six percent of these institutions said they are facing increasingly sophisticated fraud, and 47% said they were managing regulatory pressures.
As they face these challenges, 68% of financial institutions said they increased their fraud-detection budgets year over year. They are deploying a blend of solutions, including to strengthen fraud defenses, including outsourcing, cloud-based platforms, new in-house systems, deep learning and machine learning, per the report.
“Together, these actions point to a diversified modernization strategy, where institutions expand infrastructure, enhance internal tools and adopt advanced analytics to keep pace with evolving fraud threats,” the report said.
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