Case Study: Mozart AI achieves 99.95%+ reliability and 40% cost savings with Requesty

Mozart AI cuts token costs by 40% with Requesty

Mozart AI, an AI music creation software, faced significant challenges in managing its LLM infrastructure. The rapid evolution of the model landscape made switching providers or models a complex engineering project, while single-provider fragility led to request failures. They also needed to optimize costs for context-heavy workloads and gain visibility as their traffic scaled 12-fold. To achieve agility and reliability, they turned to Requesty's AI Gateway and routing policies.

By implementing Requesty, Mozart AI gained a single API endpoint for 77 models across 17 providers, allowing model switches with configuration changes instead of code. Requesty provided intelligent routing, multi-provider fallback, and automatic prompt caching. This resulted in a consistent 99.95%+ success rate, a 40% reduction in effective token costs due to caching, and clear cost tracking that supported their massive growth without surprises.

Mozart AI