Case Study: Synthflow AI scales global voice agents with Deepgram

Synthflow AI scales voice agents across 30+ languages with Deepgram

Synthflow AI, a Berlin-based voice AI platform, needed a speech stack that could deliver real-time, human-quality conversations at a global production scale. Their challenge was to find a solution that provided ultra-low latency, handled conversational signals like interruptions, supported multiple languages, and could be deployed within the EU for data residency, all backed by a strong engineering partner. They chose Deepgram's Nova-3 and Flux models for speech-to-text and Aura-2 for text-to-speech to meet these demands.

By implementing Deepgram's real-time speech AI, Synthflow AI achieved sub-second turnaround on transcription, enabling conversational voice agents. The solution allowed them to process tens of thousands of audio hours per month with hundreds of concurrent streams. Deepgram's self-hosted and EU endpoint deployment unlocked data residency for European customers, while Flux Multilingual accelerated expansion into new markets without rebuilding their speech stack, consolidating their entire STT and TTS needs with a single vendor.

Synthflow AI