Callers was growing fast. Their enterprise voice platform was handling conversations across multiple languages and markets, turning voice into measurable outcomes for clients in lending, logistics, gaming, and healthcare.
With over 90 million completed calls handled, Callers operates across multiple markets and languages where every misunderstood word translates directly into lost conversions.
But as demand accelerated, their speech-to-text infrastructure, which relied on multiple providers, struggled to keep pace with their multilingual ambitions. Consolidating to Speechmatics as their single STT provider gave them the accuracy and operational simplicity they needed to scale globally without compromise.
The company: Global voice agents at scale
Callers builds AI-powered voice agents that handle real conversations at enterprise scale. Operating as an omnichannel communication platform, Callers unify customer interactions under a single AI brain integrated directly with client data and systems.
From lending and logistics to gaming and healthcare, their platform turns voice into measurable outcomes: booked appointments, completed applications, resolved queries.
The challenge: Multilingual accuracy breaking
The breaking point came during onboarding a lending client with thousands of Spanish-speaking customers. Callers' existing speech-to-text setup understood them roughly half the time.
For a company built on speed and outcomes, that was not acceptable.
A misheard date, income figure, or address didn't register as a minor bug but a lost customer and eroded trust.
The technical architecture compounded the problem. Running five different STT engines meant five integrations, five optimization pipelines, and five different quality bars to maintain.
Entering new markets required assembling new speech stacks rather than flipping a switch. The infrastructure had become the bottleneck to the very scale their clients demanded.
The solution: One global speech-to-text engine
Callers consolidated to Speechmatics as their single speech-to-text provider across all markets and languages. The switch from Callers' previous provider immediately simplified their technical stack while improving accuracy where it mattered most: real-time multilingual conversations.
Key improvements included:
Multilingual consistency - One engine handling Spanish, English, and additional languages without quality drop-off across dialects or regions.
Simplified integration - Engineering resources shifted from managing STT workarounds to building product features and ROI optimization.
Operational flexibility - New market entry became a configuration change rather than a technical project, supporting Callers' rapid three-day deployment model.
The impact: Accuracy, speed, and trust.
The results showed up in three areas that matter for voice products: accuracy, speed, and reliability. Fewer transcription errors meant fewer conversation breakdowns. Customers stopped repeating themselves, stopped getting frustrated, and stopped dropping off.
"And on Speechmatics - migrating to you was like switching from hearing to listening. The accuracy and nuance unlocked entire use cases we couldn't touch before"
Nimrod Ron
CEO at Callers
Callers' engineering team went from troubleshooting inconsistent engines to focusing on the conversation layer itself. Integration time improved. Retry rates dropped. When customers felt understood, they moved forward.
The operational shift proved equally significant. Where Callers previously needed market-specific STT strategies, they now deploy the same engine globally. A lending conversation in Latin America, a logistics call in the Philippines, a gaming interaction in Europe, and a healthcare conversation in the United States all run on identical infrastructure with locally authentic accuracy.
"In voice, trust is everything," explains the Callers team. "If the AI misunderstands even one word, the whole conversation collapses. Multilingual accuracy didn't just make our product better. It made it trustworthy. And trust is what drives adoption at scale."
What's next: Building a global conversation layer
Callers is building toward a global conversation layer: one AI brain, every language, real outcomes. The vision extends beyond simple translation into native-level comprehension across dialects and regional variations. If a brand operates in twelve markets, Callers' AI should sound native in all twelve.
With Speechmatics handling the speech-to-text foundation, Callers is focusing development on the outcome layer where voice AI creates measurable business impact.
The next phase targets global scale without sacrificing local authenticity, because customers don't think in markets.
They just want to be heard in their own language, in real-time, with zero friction.
