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).
Vice President of Products
Mehul brings over 20 years of Product Management and Development leadership. He has built Voice AI Platforms for developers and other innovative products at startups and large companies including VMware and Adobe. He holds an MS in Management Science and Engineering from Stanford University.
Head of Finance
Jason Rubinstein brings over 15 years of finance, strategy, and planning experience. Originally a nuclear submarine officer, he’s since led finance teams at Google and Marketo, and was most recently VP Finance at Yext. He holds a BS in Engineering from Bucknell and an MBA from Duke.
Head of People
Jenny Draxl is an organizational effectiveness and HR leader with experience partnering with large, public companies and early stage startups. She is passionate about the alignment of people strategy with business objectives. She received her MBA from University of Michigan with a focus on organizational strategy.