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ShieldAI – Fraud Detection Platform

Client Australia
Duration 2024
Industry Fintech / AI
Model B2B
Team Size 4 members

Project Overview

Real-time financial fraud detection using ML.NET anomaly detection models, processing 5M transactions daily.

The Challenge

The client needed a robust, scalable solution for shieldai fraud detection platform. Existing tools were fragmented or lacked the customisation needed to support their growing business requirements.

Our Solution

Omni Stack delivered a tailored solution using ML.NET, Azure Event Hubs, .NET 8 to address every requirement. We followed an agile delivery model with weekly client reviews, ensuring the final product exceeded expectations.

Key Features

  • Custom business logic implementation
  • Third-party API integrations
  • Real-time data processing and analytics
  • Responsive, accessible user interface
  • Automated testing and CI/CD pipeline

Our Responsibilities

  • Solution architecture and technical leadership
  • Full-stack development and implementation
  • Database design and query optimisation
  • Cloud deployment and DevOps automation
  • Ongoing maintenance and support

Results & Impact

The solution was delivered on schedule and within budget. The client reported significant improvements in operational efficiency, user satisfaction, and business scalability.

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