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Secure Data Collaboration

Collaborate on data 
to stop financial crime

Break Silos

Enhance your activities against financial crime. Collaborate on data and dismantle silos to gain smarter insights while ensuring compliance and privacy.

Industry Fragmentation

Criminals take advantage of the industry's fragmentation and the isolated systems within and between financial institutions.

The Reluctance to share

Reluctance to share information stems from security concerns, regulatory barriers, and competitive business risks.

The need for data sharing

More than half of financial institutions view information sharing as essential for staying ahead of emerging threats.

The Need for
Trust

Building trust is essential for fostering collaboration, ensuring secure information sharing, and effectively combating emerging threats.

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Secure Data Collaboration 

Datavillage empowers financial institutions to unlock smarter insights and refine AI models—without exposing raw data.

By enabling real-time collaboration without centralizing data, organizations can securely share signals, perform joint analytics, and leverage combined intelligence to enhance fraud prevention and detection beyond their own silos.

Take the next step in fighting financial crime—collaborate effectively and stay ahead of emerging threats.

Why our clients chose us

Peter Gazelle, Managing  Partner

Datavillage_Graydon_Creditsafe

Through secure collaboration with Datavillage, Gradyon Creditsafe has transformed fraud detection, leveraging shared insights to deliver faster, more accurate results. This partnership is not only a business advantage but a step toward a more integrated financial ecosystem.

Dot Waves

Financial crime is a multi-trillion crisis that fuels society’s most harmful crimes

$485.6B

of annual global losses are

due to financial crime

€3.1T

in illicit funds moved through the global financial system

90%

of the financial institutions put priority on financial crime prevention

Our Solutions

Shared Signals

By securely sharing fraud-related indicators in real time—such as blacklists, suspicious account activity, device intelligence, or transaction anomalies—organizations can enhance the speed and accuracy of fraud detection across the entire fraud lifecycle.

Joined Analytics

Leveraging advanced data-sharing technologies, financial intermediaries, payment operators, or telecom providers can jointly analyze suspicious behaviors. This enhances fraud models while ensuring compliance and maintaining data sovereignty.

Collaborative Intelligence

By pooling insights across industries, organizations can connect critical dots in the fight against financial crime—detecting cross-platform fraud, strengthening AML efforts, and staying ahead of emerging threats.

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