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%+ 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.


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?