Quantifind Deploys AI-Native Platform to Overhaul Compliance Screening

Banks have long relied on fragmented screening tools, periodic reviews and labor-intensive investigations to meet know-your-customer, sanctions and anti-money-laundering obligations. That model is becoming harder to defend as regulators demand clear evidence for risk decisions while financial institutions seek to contain compliance costs. AI-native systems promise to enrich incomplete records, resolve identities and monitor entire customer populations continuously, while preserving explainable findings and audit trails for regulators.

As of Aug. 14, 2026, Quantifind is offering an AI-native risk intelligence platform that it says can continuously screen 100% of customers and counterparties. Its data coverage includes more than 1 billion news articles, 700 million criminal, court and arrest records, and over 2 million politically exposed persons, state-owned enterprises and affiliates. Quantifind cited a Celent study estimating as much as $177.9 million in annual efficiency gains for a Tier 1 bank, driven partly by an 80% to 90% reduction in false-positive alerts.