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.

Deepgram

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.

Adam Sypniewski

CTO

Adam Sypniewski has designed artificial intelligence systems for autonomous vehicles and built next-gen technology for DARPA. He earned his PhD in experimental astrophysics from University of Michigan, where he used machine learning to understand dark energy.

Katie Byrne

VP of Marketing

Katie Byrne has led marketing for enterprise infrastructure, security and network automation technologies. She has a proven track record of amplifying brands, driving user adoption, and executing programs that deliver business outcomes.

Sam Zegas

Chief of Staff

Sam Zegas is life-long language aficionado, with years of study in linguistics and foreign languages. He holds an MBA from Harvard Business School and an MPP from the Harvard Kennedy School of Government.

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.

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Speech recognition is hard. We'll make it easy.