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As published on deepgram.com. Checked by usedby on Oct 9, 2026.

What happened

Revenue.io, a revenue operations software provider, uses Deepgram to train customized speech-to-text models on audio from its own platform. This lets it transcribe industry-specific terms, product names and company names accurately when analyzing sales conversations.

Summary written by usedby from the source page, in English. The figures are those of Deepgram and Revenue.io, not ours.

Their models were initially a bit better, but with Deepgram, they were able to train and customize a speech model using audio from Revenue.io’s own platform, which led to a dramatic accuracy increase beyond what the all-in-one ASRs could reach.

From the page. deepgram.com

You can build the most cutting edge AI model, but if you don’t put good data in, you’re not going to get good results.

Scott Hoch, Head of Data of Revenue.io. Source

What the story claims, and what we checked

What we compared with the page.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Revenue.io.
  • Revenue.io uses DeepgramCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

30%“the time spent per audit has been reduced by 30%”Abby Connect uses Deepgram. Another customer of Deepgram58%“measured a shocking 58% reduction in transcription latency”BIGVU uses Deepgram. Another customer of Deepgram10%“produced a 10% increase in recovery rates and smarter workforce deployment”Creditas uses Deepgram. Another customer of Deepgram