G2

Diego P.

Director de Rich Media

Small-Business (50 or fewer emp.)

8/28/2026

"Deepgram: Fast, Developer-Friendly, and Great for Domain-Specific Vocabulary"

4/5

What do you like best about Deepgram?

Deepgram is really a developer-friendly solution and is extremely fast if you compare it against other vendors like OpenAI Whisper and Speechmatics. I mention friendly because I never had to reach out to support to get the integration working, is pretty easy, well-documented, and self-explanatory. Something that caught my attention about making the switch is the ability to train domain/industry specific vocabulary; this is very useful when you need to focus your solutions in the industry, reducing friction for the final user. Review collected by and hosted on G2.com.

What do you dislike about Deepgram?

There is a big data privacy trade-off. If you leave the Model Improvement Program that uses the audio data to train their models, you lose the 50% rate discount, this is bad for FinTech startups, where money is a valuable asset that you need to take care of, but as a highly regulated industry, yoy can't share your data easily; the previous thing combined with the modular pricing means that the cost add up quickly when you need advanced features. Review collected by and hosted on G2.com.

What problems is Deepgram solving and how is that benefiting you?

We are using it in 2 agents. The first agent has the feature to speak with you to solve your problems in 2 areas: customer support for integrating our system, and providing information about your money movements and compliance status. The second agent is pretty similar but is for internal operations, so it's more advanced in a way that this agent has much more capabilities, in terms of moving money, approving KYC. KYB and KYT processes, among many others. We use the custom models a lot because we have a lot of industry jargon and internal keywords that help us to have the speech to text ver accurate. Review collected by and hosted on G2.com.