EyesClear vs Oracle Financial Services Anti-Money Laundering

EyesClear offers two AI-supported tools for financial-crime compliance: a Platform deployed on-premise or in a private cloud, and a separate hosted Investigations service. The Platform consolidates compliance alerts into a queue, gathers evidence, drafts case narratives and routes decisions to analysts. Cases do not close automatically; an analyst reviews, edits and signs before action. Connectors cover SWIFT, ISO 20022, MQ, Kafka, databases and files related to CRM, transactions, risk and KYC. EyesClear says Platform data and AI inference remain inside the bank’s environment rather than going to an external cloud or vendor. Investigations screens people and companies against public records and returns findings with source quotes. It can be used in a browser without integration or deployment and can pass findings to an existing case system. For a screening, it sends a subject name and derived search terms to public sources and its language models, not customer files, transactions or alerts. The service is free to financial institutions and regulators, with five credits on a new account and one credit per screening. EyesClear says it does not screen payments in real time; it addresses sanctions and name-matching alerts raised by a customer’s screening platform.

Oracle Financial Services Anti-Money Laundering is a cloud suite for financial institutions detecting suspicious activity, assessing customer risk, and managing compliance work. Transaction Monitoring covers traditional, real-time, cross-border, peer-to-peer, wallet, scam, dispute, and emerging payment channels. Detection combines configurable rules, behavioral analytics, graph intelligence, and adaptive scoring without bespoke code changes. Oracle KYC builds ongoing customer-risk views from sanctions and politically exposed person screening, ownership changes, behavioral anomalies, and entity intelligence. FCCM routes alerts by typology, jurisdiction, SLA priority, analyst skill, and workload, with role-based permissions and supervisor overrides. Investigation Hub’s AI Investigator summarizes transactional behavior, connects related entities, and drafts suspicious-activity-report narratives while people remain involved. The suite covers screening, KYC/CDD, monitoring, investigations, reporting, and AML/CFT templates. Governance includes versioning, approvals, rollback, explainability, drift monitoring, lineage, access controls, and operational reporting. APIs, integration support, real-time processing, case management, regulatory reporting, audit trails, custom rules, machine learning, and multi-entity support are listed. Pricing is pay-per-use subscription pricing by AML requirements and usage.