ABOUT DEEPGRAM
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.
From Dark Matter to Deep Learning
2015
Influenced by their background in particle physics, founders Dr. Scott Stephenson and Noah Shutty used AI techniques to find key moments buried within large datasets of recorded audio. After building a speech analysis platform unlike anything available, they set out to build the speech company for the future.
2017
YCombinator invests in Deepgram. Deepgram’s team of PhDs, engineers, and world-class AI scientists releases the world’s first fully deep learning based speech recognition.
2018
Deepgram releases Trained Speech Models to bring companies unparalleled gains in accuracy and speech understanding capabilities. NVIDIA and Slack invest in Deepgram.
2019
Deepgram signs key enterprise customers after expanding offering to include real-time, highly concurrent transcription in the challenging audio environments of phone calls and meetings. Closed A Round.
2020
Deepgram scales engineering, go to market, and operations teams to keep up with skyrocketing demand for its industry leading Enterprise Speech Recognition platform.
Executive Team
Scott Stephenson
CEO
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.
Newsroom
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.