Paris-based Marble raises €6.5 million to automate fraud and AML compliance with its no-code, open-source platform
Marble, a Paris-based open-source platform for fraud detection and anti-money laundering (AML) compliance, has raised €6.5 million in Series A funding. The round was led by Smartfin, a European venture capital and private equity firm that invests in high-growth B2B technology companies. The round also saw participation from ADNEXUS and existing investors Passion, 42Capital and […] The post…
Paris-based Marble, an open-source platform specializing in fraud detection and anti-money laundering (AML) compliance, has secured €6.5 million in Series A funding. The investment was led by Smartfin, a venture capital firm focusing on high-growth B2B technology companies, with participation from ADNEXUS, Passion, 42Capital, Hexa, and TSIC. This funding brings Marble's total capital raised to €9 million.
Founded in 2021 by Arnaud Schwartz and Pascal Delange, both ex-Shine executives, Marble aims to automate compliance burdens for mid-market banks and fintechs. Their no-code, open-source platform allows compliance teams to create their own transaction monitoring rules without relying on vendors or IT departments. Key features include sanctions and watchlist screening, investigation and reporting, customer risk scoring, and A/B testing of rules on live data.
Marble can be deployed on-premises or as SaaS, with its open-source core enabling auditors to examine decision-making processes.
The platform protects over three billion transactions annually and reduces manual review work by 90%. By 2027, Marble projects annual recurring revenue of more than €5 million. With nearly 70% of its customers outside France and 70% opting for Marble to replace existing solutions, the company is expanding its market reach. The funding will be allocated to enhance AI-powered automation, expedite deployment, create agentic compliance capabilities, and develop adaptable systems.
Marble plans to integrate AI into rule generation, alert triage, case investigation, and speed up deployment through on-premises installations that align with existing bank data. The company aims to transform automated, AI-powered compliance into a standard practice rather than a challenging project for individual companies to manage efficiently.
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