Case Study: PlayAI achieves 28% lower TTS latency with fal

PlayAI - Customer Case Study

PlayAI, a developer of foundational voice models for text-to-speech applications, sought an infrastructure partner to help reduce latency and scale its inference capacity to meet growing user demand. Their voice agent and customer support customers required near-instant audio responses, making sub-300ms latency essential for a good user experience. PlayAI partnered with fal to leverage its managed GPU infrastructure for high-volume TTS generation.

By integrating fal's high-performance inference pipeline and distributed global GPU network, PlayAI achieved a 28% reduction in latency. This solution provided an average time to first audio of 120ms for one model and handled a 3x traffic spike while maintaining sub-150ms latency. fal's platform also supported over 25% month-over-month user growth for PlayAI by ensuring rapid, reliable scaling and accelerated inference.

PlayAI

Mahmoud Felfel

Chief Executive Officer