Marble provides an AI-powered platform for automating fraud and compliance processes, including real-time transaction monitoring and risk scoring. The solution centralizes fragmented workflows into a unified Case Manager, leveraging AI automation to streamline investigations and reduce manual effort. This infrastructure is designed for seamless adaptation to evolving regulatory requirements and business activities, supporting both SaaS and on-premise deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions face significant operational overhead and potential losses due to manual review processes for fraudulent or non-compliant activities. Existing solutions often lack the flexibility to adapt to evolving threat landscapes and require extensive engineering resources for implementation and modification.
Solution
Marble provides an open-source, real-time decision engine designed to automate fraud and Anti-Money Laundering (AML) detection for financial services. The platform allows businesses to ingest diverse data streams and apply custom-built decision logic to score, approve, decline, or flag transactions, logins, and account activities instantaneously. Risk teams can leverage a user-friendly interface to construct and manage complex detection scenarios without requiring backend engineering support, enabling rapid adaptation to new threats and operational requirements. This approach streamlines review processes, reduces manual intervention, and enhances overall security posture.
Target Audience
The primary target audience includes financial institutions, fintech companies, and payment processors seeking to enhance their fraud prevention and AML compliance capabilities through a flexible and customizable decisioning platform.
Features
- Real-time event processing for immediate decisioning on transactions, logins, and account changes.
- Configurable decision engine supporting custom rule sets and machine learning model integration.
- Open-source architecture promoting transparency, community-driven development, and extensibility.
- Scenario builder with a no-code interface for risk teams to define and deploy detection logic.
- Support for ingesting data in any format, facilitating integration with existing data pipelines.
- Automated workflow for review and approval processes, reducing manual workload.
- Continuous improvement loop enabling measurement, iteration, and testing of detection strategies.
- API-first design for seamless integration into existing technology stacks.