Quantifind AI-Powered Financial Crime Intelligence Selected to Protect the Defense Supply Chain
Two landmark contracts reinforce Quantifind's leadership in National Security Risk Management
The first contract extends Quantifind's four-year relationship with the Defense Innovation Unit (
The second contract integrates Quantifind's advanced analysis of messy unstructured data with several other technologies within the Office of Commercial and Economic Analysis (OCEA) to evaluate Small Business Innovation Research (SBIR) applicants at scale for hidden foreign ownership, IP transfers, and criminal or fraudulent behaviors.
"Quantifind's ability to uncover complex relationships between entities from unstructured data is unparalleled. It will add to OCEA's efforts to build a central platform for vendor vetting in DoD," said its Director,
Advancing
Quantifind's technology, initially developed for financial services, has expanded to meet the growing needs of the U.S. Government. With proven success in Know Your Customer (KYC) and Anti-Money Laundering (AML) use cases at Tier 1 Banks in the
"Applying Quantifind's Risk Intelligence Platform in a dual-use commercial environment is a huge source of pride. We are pleased to support the US government's mission to protect its industrial base and help eliminate foreign intrusion that threatens the security of America, its allies, and partners," said co-founder and CEO Dr.
As foreign adversaries such as
About Quantifind
Quantifind is the leader in financial crime intelligence automation, providing purpose-built AI solutions that transform how organizations detect and mitigate risk. The Graphyte™ platform serves as an essential AI co-pilot, delivering real-time, accurate risk assessments by integrating internal data with complex, unstructured public information to uncover hidden threats and reduce false positives with unprecedented accuracy, speed, and scale. This empowers customers to collaborate with trusted entities, focus on critical risks, and strengthen compliance with greater confidence and precision.
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SOURCE Quantifind
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