ASR sucks and it costs too much. So we rebuilt it.
We’ve 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.
Scott Stephenson is a dark matter physicist turned Deep Learning entrepreneur. He earned a PhD in particle physics from University of Michigan where his research involved building a lab two miles underground to detect dark matter. Scott left his physics post-doc research position to found Deepgram.
Shadi brings over 20 years of go-to-market experience building and scaling Software- and Infrastructure-as-a-service organizations. He designed and led the customer engagement experience at a number of voice technology companies including BlueJeans (now part of Verizon), and Voicea (now part of Cisco).
We are building The speech company.
Like you, we don’t accept the way things have always been done. We believe we can fundamentally change the way we live and work by unlocking insights trapped in our conversations. We are cornering the speech recognition market with the state of the art Deep Learning. Next stop? Speech understanding.