Marble
PaidAI-powered fraud and AML compliance platform for banks and fintechs
AI Summary
Marble is an AI-powered platform for fraud detection and AML compliance that unifies transaction monitoring, screening, and investigations. The solution offers complete customizability through flexible data models and can be operated as SaaS or on-premise. With integrated AI agents, Marble automates detection processes and accelerates case processing.
✓ Pros
- +Fully customizable data models without rigid requirements or transformations
- +On-premise or SaaS deployment for full data control and compliance
- +Integrated AI agents for automating and scaling fraud and AML teams
✗ Cons
- −Requires technical setup and integration into existing systems
- −No public pricing information available
Use Cases
- →Real-time monitoring of transactions for suspicious activities and fraud patterns
- →Screening of customers and payments against sanctions lists, PEPs, and adverse media
- →Automated AML investigations with AI-powered reports and audit trails
- →Continuous customer scoring and risk assessment based on individual parameters
Who is it for?
For banks, fintechs, payment providers, and crypto exchanges that need a flexible and scalable solution for fraud detection and anti-money laundering prevention.
Tags
What is Marble?
Marble is a compliance platform for fraud detection and anti-money laundering that combines three areas often handled separately: Transaction Monitoring, Screening and Case Management. Financial institutions can run Marble as SaaS or install it On-Premise, which can be a deciding factor in heavily regulated environments. The platform uses flexible data models that adapt to existing systems without fixed requirements, rather than forcing incoming data into a rigid schema.
Core features
- Real-time Transaction Monitoring: Suspicious activities and fraud patterns are checked at the point of payment entry, not after the fact.
- Screening against external lists: Customers and payments are automatically matched against sanctions lists, PEP databases and Adverse Media sources.
- Continuous Customer Scoring: Risk assessments run continuously according to individually configured parameters, with no manual follow-up required.
- AI-assisted investigations: Integrated AI agents generate reports on suspicious cases and maintain audit trails, reducing the workload per case.
- Flexible deployment options: SaaS or On-Premise, depending on data protection requirements and regulatory context.
Who is Marble for?
The core target group is compliance and fraud teams at banks, fintechs, payment providers and crypto exchanges. Organizations that already have a specialized monitoring tool in place and only need to close a single gap probably do not need Marble. It makes sense where Transaction Monitoring, Screening and case management are currently spread across separate systems and the integration is generating costs.
Setup requires technical effort. Existing data pipelines need to be connected, and without a clear API strategy in-house, the rollout can drag on. No public pricing information is available; terms are negotiated individually.
Context & alternatives
Marble belongs to the Financial Crime Compliance category and competes with platforms such as Hawk AI, ComplyAdvantage and Featurespace, which also offer machine-learning-based Transaction Monitoring. The difference lies in the deployment model: organizations that cannot or are not permitted to send data to a third-party cloud infrastructure have a concrete alternative to pure SaaS solutions in the On-Premise option. Those who want to get started quickly and prefer not to operate their own infrastructure should factor in the integration effort realistically before making a decision.
