Eastnets SafeWatch AML vs Jube
Eastnets SafeWatch AML
eastnets.comJube
jube.ioSide by side
| Figure | Eastnets SafeWatch AML | Jube |
|---|---|---|
| Price from | — | $350/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 8 |
| Spec score · Financial Crime Compliance Software | 7.6 (#10) | 8.9 (#1) |
| Intended users | Eastnets describes SafeWatch AML as part of its compliance suite for financial institutions. | The maker describes Jube as intended for compliance teams, financial institutions, fintechs, and organisations adopting it for AML or fraud detection. |
| Purpose | SafeWatch AML uses real-time behavioural analytics and AI-driven insights to detect, investigate, and reduce financial crime. | Jube is an open-source platform for real-time suspicious-transaction detection, AML case management, and fraud prevention. |
| Support | Eastnets says its support team assists with onboarding, system integration, configuration of pre-built risk scenarios, and user training, with ongoing updates and model recalibrations after implementation. | Support is async-first over WhatsApp, with Loom video and documentation responses tracked against a permanent record. |
Plans
Jube
- JubeFree
- Jube softwareFree
- Sandbox support$350 a month
- Growth support$950 a month
- Scale support$1,590 a month
- Public training (Kuala Lumpur, April 2026)$1,825, paid once
- Enterprise support$2,400 a month
- Private training$6,000, paid once
In their own words
Eastnets SafeWatch AML
Eastnets SafeWatch AML is a web-based compliance product for financial institutions that monitors transactions and supports financial-crime investigations. It analyses transactions online in real time and examines historical transaction data offline. Unsupervised AI models assess account behaviour, surface anomalous activity, and generate alerts intended to reduce false positives. Dynamic risk scores for customers, accounts, and transactions help prioritise alerts. Users can select preconfigured AML scenarios or build rules with the Rule Builder and Library. Network analytics add relationship context that transaction-level monitoring may miss, and configurable workflows can reflect an organisation’s investigation processes. A built-in goAML module formats and submits reports according to United Nations standards. The modular system centralises transaction data from institutional sources in a dashboard and can expand as needs change. Eastnets says it supports FATF frameworks, EU Anti-Money Laundering Directives, and OFAC requirements. Onboarding includes integration, scenario configuration, and training, with ongoing regulatory updates and model recalibrations. Pricing is on request; the product page invites customers to request a demo.
Jube
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.