EyesClear vs Jube

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.

Jube is a free, open-source platform for real-time suspicious-transaction detection, AML case management, and fraud prevention. Its monitoring combines threshold, velocity, and aggregation checks with sanctions screening, supervised and unsupervised machine learning, TTL counters, and suppression. Interfaces support synchronous, asynchronous, and hybrid operation over HTTP and AMQP. Redis stores real-time state, PostgreSQL provides durable storage and audit logs, and RabbitMQ handles inbound and outbound events. Case management covers AML, fraud, and compliance streams, with investigator dashboards, document versioning, escalation, and audit trails. Jube says Bayesian Network and decision-tree outputs can be explained to regulators and describes calibration against BASEL practice. The software runs in Docker and Kubernetes, supports multiple tenants, and can be deployed on customer infrastructure or cloud tenancy. Jube is available under AGPLv3 with all features. Support and training are separately priced, including sandbox, growth, scale, enterprise, and training options.