This Customer Spotlight is a synopsis of how a Small Business Internet Software & Services company used Deepgram to benefit their business. The feedback included was collected and verified in a January 2022 survey of Deepgram customers conducted by UserEvidence, an independent research firm.
Time to Go Live
The ability to both build a custom model and deploy it on-premise meant that we could provide a differentiated offering to clients, especially where existing models were performing poorly. Subsequent to starting to work with Deepgram we have also found the entire team to be incredibly helpful in assisting us with other aspects of implementation and delivery outside of the scope of an off the shelf product
Head of Product
Small Business Internet Software & Services Company
What were the main challenges that you were encountering that led you to purchase Deepgram?
- Low accuracy from incumbent or alternative speech recognition engines
- Existing feature set wasn’t robust enough to service our use case
What competitors did you evaluate before choosing Deepgram?
- Google STT
- Amazon Transcribe
- IBM Watson
- Open Source
What factors led you to select Deepgram?
- Ability to increase accuracy with model training
- Competitive Pricing
- Deployment Flexibility
What accuracy levels were you seeing before Deepgram
Please select the options that describe your deployment
- Client Hosted (on-prem or VPC)
- Trained model
How long did it take you to go live in production once you decided to implement Deepgram?
- Greater than 9 weeks
What accuracy levels are you seeing with Deepgram?
- Greater than 90%
What speech recognition benefits are you achieving from your Deepgram deployment?
- Improved task completion rates (eg. resolved support calls or Sales close rates)
- Ability to differentiate from competitors
What business benefits are you seeing from choosing Deepgram?
- Able to successfully launch a new product
What do you anticipate will be your timeframe for return on your investment (ROI) in Deepgram?
- 1-3 months
Deepgram reinvented Automatic Speech Recognition (ASR) with a complete, deep learning model that allows companies to get faster, more accurate transcription, resulting in more reliable data sets — on-prem or in the cloud. And we do it all with lower hardware and usage costs so we’re a hell of a lot more scalable than big tech players.