AI-Powered Speech Analytics
Just OK ASR is Not Good Enough
We get it. Poor transcription accuracy means poor speech analytics and lack luster insights. You can’t extract insights with 65-80% accuracy. Good news: you don’t have to. Many Deepgram customers see over 90% accuracy depending on their use case. We didn’t settle for just ok. You shouldn’t either.
“Being able to rely on Deepgram transcription, both on the front and back end of the call is paramount to accurate emotion detection for our Call Center Customers.”
VP of Product
Captured 100% of our call center audio.
“There could be hundreds of issues a customer is calling in about. Add to this complexity there is a distribution of words, specific to each of our customer’s brands. We couldn’t get these words right using Google, Amazon or Speechmatics, and are thrilled to finally reach our accuracy goal with Deepgram.”
In a head to head test, Deepgram model training yielded a lower WER.
“With voice data sets increasingly seen as a strategic asset awash with rich insights, timely access to high-quality audio and transcripts for AI engines to reason over is critical. Our partnership with Deepgram delivers this, underpinned by market-leading infrastructure and TCO.”
Red Box Voice
The Most Accurate Real-Time Transcription Solution
“As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names.”
Why They Chose Deepgram: Listening Correctly at Scale