How GetVocal AI uses Deepgram
GetVocal AI uses Deepgram's real-time streaming speech-to-text at the front of its voice agent pipeline to transcribe English-language telephony calls and capture entities such as names, numbers, and dates. The transcripts feed its governed conversation platform, which powers production voice agents for enterprise customers.
View captured proofThe use case: how GetVocal AI deploys Deepgram
GetVocal integrates Deepgram's real-time streaming speech-to-text at the front of its voice agent pipeline to transcribe English-language telephony calls for enterprise customers. It relies on Deepgram for accurate capture of names, numbers, dates, and IDs that drive downstream workflows.
More reported results
Figures published in Deepgram’s case study. They are not independently measured by usedby.
45% more self-service resolutions
31% fewer live escalations
GetVocal now serves 23 markets and 100+ enterprise teams.
In the customer’s words
In voice AI, the entire customer experience hinges on the first 300 milliseconds. If STT mis-hears a booking number or a customer name, no amount of downstream LLM reasoning can save the interaction. That’s why we’re rigorous about who we put in the front of our pipeline, and why Deepgram earned that spot for English.Deepgram users in Artificial Intelligence
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CognigyObservedGo straight to the source
Based on Deepgram’s published case study. We check the public evidence; the results are reported by the vendor.
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- Oct 3, 2026
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- The figure: 70%Checked
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- GetVocal AI uses DeepgramChecked
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GetVocal integrated Deepgram’s real-time streaming speech-to-text into its voice pipeline to support production voice agents across customer deployments.