Machine Learning
Enterprise AI Platform

Overview
Real-Time Fraud Detection Platform Overview
The client needed a production-grade ML platform capable of scoring transactions in under 50ms while supporting continuous model improvement. We designed a streaming architecture with feature stores, model registry, and automated retraining pipelines.
Platform & Distribution
PlatformMobileWeb
Technology Stack & IntegrationsAIMachine LearningOpen Source
Purpose & Challenges Addressed
Challenges Solved
- Latency at Scale
- Model Accuracy
- Data Quality
- Regulatory Compliance
Success Stories
- Fraud Reduction
- Scalability
- Operational Efficiency
- Customer Trust
30%Increase in engagement
25%Reduction in support requests
Process & Implementation
- 1Data Ingestion & Feature Engineering
- 2Model Training & Validation
- 3Real-Time Inference Pipeline
- 4Monitoring & Drift Detection
- 5Automated Retraining & Deployment
