How Five9 uses Deepgram
Five9, a cloud contact center provider, offers Deepgram's Nova-2 speech recognition model as a speech-to-text option in its Intelligent Virtual Agent platform, IVA Studio 7. It is used to transcribe customer speech in real time, especially alphanumeric inputs such as account, order and tracking numbers, for self-service interactions.
View captured proofThe use case: how Five9 deploys Deepgram
Five9 integrated Deepgram's Nova-2 speech recognition model as a speech-to-text option in its Intelligent Virtual Agent platform, IVA Studio 7. This gives its contact center customers accurate real-time transcription, especially of alphanumeric inputs in self-service interactions.
Figures in the source
Figures published in Deepgram’s case study. They are not independently measured by usedby.
a major healthcare provider doubled their user authentication rates due to improved alphanumeric transcription accuracy
In the customer’s words
Deepgram's real-time transcription accuracy enables improved call resolution and higher self-service containment rates without the need for a live agent, resulting in substantial cost savings for our customers.Other AI tools used by Five9
Other public relationships recorded on usedby.
Explore Five9’s AI stack
Deepgram users in Telecommunications
Companies in the same sector, with public evidence.
See all Deepgram customers
Go straight to the source
Based on Deepgram’s published case study. We check the public evidence; the results are reported by the vendor.
deepgram.com- Last checked
- Oct 3, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Five9.
- The numbers in our summaryChecked
Each one is printed on the page.
- Five9 uses DeepgramChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
After switching to Deepgram in Five9 IVA Studio, a major healthcare provider doubled their user authentication rates due to improved alphanumeric transcription accuracy.