Artificial Intelligence • Finance
Aurora AI: Financial Analytics Platform
A high-performance trading analytics dashboard processing millions of real-time market data points and generating predictive trend scores.
Key Performance Metrics
1.2M/secData Throughput
94.2%Forecast Accuracy
8msResponse Latency
The Challenge
Aurora Asset Management struggled to ingest multiple market streams and calculate risk models on the fly. Their legacy database locked up under volatile market activity, causing portfolio managers to make decisions on stale financial indexes.
Our Engineering Solution
We designed a real-time event pipeline using Apache Kafka and Apache Flink, writing normalized data into a PostgreSQL cluster with TimescaleDB. The dashboard front-end was crafted with Next.js and high-frequency WebSocket channels, backed by custom AI-driven risk evaluation microservices written in Go.
Business Outcomes
Eliminated system lockups during peak market volatility.
Improved portfolio manager decision speeds by 12x.
Enabled real-time risk simulation calculations, previously taking 2 hours, in under 1.5 seconds.
Integration Stack
Next.jsGoKafkaTimescaleDBTensorFlowReact Three Fiber