Case Study: Taurex achieves faster, auditable AI trading insights with Taazaa

Taurex cuts trading coach latency by 85% with Taazaa

Taurex, a multi-asset trading platform, sought to differentiate itself in a crowded market with an AI-powered Trading Coach. Their initial version, however, delivered suboptimal results with high latency and could not support many concurrent users. They engaged vendor Taazaa to re-engineer the application to support 500 requests and drastically reduce response times.

Taazaa rebuilt the AI Trading Coach with a custom architecture that pre-computes analytics, separating data processing from narrative generation. This solution reduced average request latency by 85% and slashed token usage from 50,000 to between 6,000-8,000 per request. The new system successfully handled over 75,000 requests in a load test with no failures, giving Taurex a significant competitive advantage.

Taurex