Client
Global Wealth Management Firm
The Challenge
The client was losing ~15% of annual revenue due to inaccurate market volatility predictions and slow manual reporting processes. Legacy systems took 48 hours to generate risk reports.
The Engineering Solution
We engineered a real-time predictive analytics platform using LSTM neural networks, ingesting market data streams to forecast volatility with 92% accuracy. The system automates risk reporting instantly.
- Microservices Architecture
- Real-time Data Processing Pipeline
- Automated CI/CD Workflows
- Serverless Scalability
System Architecture Diagram
Technology Stack
Python
TensorFlow
FastAPI
React
PostgreSQL
AWS SageMaker
Measurable Impact
32%
Accuracy Boost
$4M
Annual Savings
<1s
Report Time
"AerixNova didn't just build a model; they rebuilt our entire approach to risk. The speed and accuracy gains are game-changing."
Sarah J., VP of Risk
Global Wealth Management Firm