Quantifind’s Graphyte Platform Automates 90% of Risk Cases in 2 Million-Entity Deployment

New updates have been reported about Quantifind.

Quantifind has introduced new governed agentic risk-execution capabilities in its Graphyte AI Risk Intelligence Platform, positioning the company at the center of a shift from manual to automated risk operations for financial institutions and government agencies. In a recent deployment analyzing 2 million entities, Quantifind’s specialized AI agents generated 26,780 risk cases, escalated only 2,658 for human review, and maintained 98% precision in escalated matches, meaning just 0.13% of the total population required analyst involvement.

These results highlight Quantifind’s ability to isolate the 1.3% of entities with meaningful risk signals within largely benign activity, while automatically resolving roughly 90% of risk cases under clearly governed policies and institutional criteria. Built on a proprietary risk-intelligence stack rather than generic large language models, Graphyte is engineered specifically for high-stakes, regulated environments and has demonstrated up to 90% reductions in manual review volume and 97% reductions in review effort versus legacy screening systems.

For executives, the strategic implications are lower operational cost, expanded risk decision capacity, and faster onboarding, payments, and investigations without sacrificing compliance rigor or auditability. Quantifind’s CEO Ari Tuchman emphasizes that its agentic execution relies on a signal-extraction layer optimized for accuracy, scalability, and efficiency, enabling institutions to scale risk coverage while remaining aligned with model risk management expectations and regulatory scrutiny.

The platform spans the full risk lifecycle from data ingestion and intelligence analysis to decision support and case disposition, providing transparent evidence generation, documented search coverage, and structured reasoning for use in audits. With industry experts noting that more than 90% of financial institutions plan to adopt agentic AI within two years, Quantifind’s enhancements position it to capture growing demand for production-grade AI that can meet both operational and regulatory requirements in financial crime and national security risk management.