Speech Analytics
Just OK ASR is Not Good Enough
We get it. Poor transcription accuracy means poor analytics and incomprehensible meaning. You can’t extract insights with 65-80% accuracy. Good news: you don’t have to. Deepgram can achieve 90%+ trained accuracy and transcribe one hour of audio in one minute at a fraction of the cost of legacy Automatic Speech Recognition (ASR) solutions. We didn’t settle for just ok. You shouldn’t either.
High Accuracy for Better Analysis
Data is your lifeblood, and garbage in is garbage out. So why settle for <80% accuracy with hard to analyze call transcripts? Our Speech Models can be trained to your customer’s specific use case including terminology, product terms, acronyms, and accents. We are designed for enterprise speech recognition, so noise and cross-talk during calls and meetings don’t bother us. Train our models for your specific use case.
Speed Without Sacrifice
Are your analyses and dashboards waiting for accurate transcriptions? Transcribe one hour of audio in less than one minute with the accuracy you need to surface actionable insights. In fact, you can transcribe and analyze a whole day of call data within that same day. How is that for fast?
Lower Your Total Cost of Ownership
Are your customers only transcribing 5-10% of their calls for analysis because of high ASR costs and large computing resources? Our Deep Learning Speech Platform can run 300 audio streams on 1 GPU instead of 300 CPUs. More data and lower total cost of ownership (TCO) creates more growth opportunities for your business.
Scalable to Your Growth
Start small or go big. Our GPU approach allows our solution to grow with your business without exponential costs. You can finally harness the big data from your mountain of voice recordings for true voice-of-the-customer insights without IT.
“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
Sharpen
“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.”
CTO
Agara
In a head to head test, Deepgram model training yielded a lower WER.
“Deepgram has given OTO the ability to provide services to our customers we couldn’t with Google.”
CTO
OTO Systems
“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.”
CPO
Red Box Voice
“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.”
CTO
Tethr
Why They Chose Deepgram: Listening Correctly at Scale
No Compromises.
Only Opportunities.
What could you do with 90%+ accuracy and real-time 300-milliseconds transcription speed at a fraction of the cost of legacy ASR solutions?
