Case Study: Callers achieves multilingual accuracy and faster global scaling with Speechmatics

Callers scales 90 million voice calls with Speechmatics

Callers, a company that builds an AI-powered voice agent platform for enterprises, was struggling with the accuracy and complexity of its multilingual speech-to-text infrastructure. Relying on multiple providers led to poor performance, especially in languages like Spanish, which resulted in lost conversions and eroded customer trust. This fragmented system became a bottleneck for their global growth.

By consolidating to Speechmatics as their single speech-to-text provider, Callers achieved high multilingual accuracy and operational simplicity. The results included fewer transcription errors, lower retry rates, and faster deployment into new markets. This improved accuracy built user trust and allowed Callers to scale their platform globally across various industries without compromise.

Callers