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Netcorp helped the bank develop a real-time fraud detection platform using Databricks as the foundation for data processing and analytics. The system consolidates transaction streams from multiple channels, applies machine learning models, and flags anomalies in milliseconds.
The team designed and built streaming pipelines using Delta Lake and Azure Event Hubs, ensuring data integrity and near-zero latency. The solution also introduced explainable AI components for compliance reporting, allowing the bank to justify decisions to regulators and auditors.
The client is a fast-growing digital bank offering online payment, savings, and lending services across the Baltics and Northern Europe. Their strategy centers on automation, transparency, and fraud prevention in digital transactions.
Netcorp’s engineers quickly became an integral part of the client’s data team. They brought deep expertise in real-time data processing and model deployment, while maintaining a strong business focus. The collaboration was structured, proactive, and efficient, helping the bank strengthen its fraud detection capabilities without compromising performance.
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The platform reduced fraudulent transaction losses by 35% and improved investigation efficiency by 50%. The client achieved real-time visibility into suspicious behavior and enhanced customer trust through stronger digital security.
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