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ProductUpdated on 1 September 2025

80% Increase in Detecting Suspicious Claims with ML Algorithms

Łukasz Borzęcki

CEO/CTO at VM.PL

Wrocław, Poland

About

At VM.PL we developed a machine learning solution for fraud detection, enabling our client to identify suspicious activity in real time and secure critical business operations. By analyzing transaction patterns and detecting anomalies, the system continuously learns and adapts to new fraud scenarios.

Key benefits for our client:

  • Early fraud detection – prevents financial and reputational losses

  • Real-time monitoring – continuous analysis of transactions and user behavior

  • High accuracy – ML models trained to reduce false positives

  • Scalability – solution adapts to growing data volumes and new threats

  • Improved security – stronger protection for business and customers

This solution significantly reduced fraud risks, safeguarded resources, and enhanced trust in our client’s operations.

Looking for

  • Distribution Partner

Applies to

  • ICT
  • Microtechnology
  • Biotech and Lifescience
  • Medtech
  • Security
  • IoT
  • AI
  • Embedded Systems
  • Software
  • Mobility Solutions

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