How Moveo Benchmarks Multilingual Voice AI with Deepgram for Real Contact Center Calls

Moveo, a provider of contact center voice AI for regulated industries, evaluates streaming speech-to-text systems for multilingual agents operating in English, Brazilian Portuguese, Greek, and emerging markets such as Italian and Polish. Its assessment prioritizes real-call transcription accuracy, end-of-utterance detection, latency, telephony resilience, data residency, compliance, and operational observability rather than benchmark performance alone. The company uses a three-phase process that begins with streaming API playground tests, advances to LiveKit-based agent tests across web and Twilio SIP calls, and concludes with full platform integration and production-like telemetry. Moveo tracks transcription delay, end-of-utterance delay, and total agent response latency through synchronized event logs and Prometheus metrics, comparing results by provider, language, transport, and scenario. The account argues that phone-network conditions, language-specific reliability, and stable conversational turn-taking can matter as much as raw transcription accuracy, while EU hosting, denoising, telephony-tuned models, and broad language support are important infrastructure considerations. Deepgram is presented as a core provider in Moveo’s production stack because its streaming models, multilingual support, EU-hosted endpoints, and denoising capabilities align with these requirements.

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