ASR sucks and it costs too much. So we rebuilt it.
We believe we can fundamentally change the way we live and work by unlocking insights trapped in our conversations. We are working to make voice intelligence available to all with faster, more accurate, more scalable speech recognition made possible by end-to-end deep learning.
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.
Natalie is one of the human brains behind Deepgram's AI-driven products. With a background in product design, she creates user-focused experiences that make it possible for all developers and businesses to build with voice.
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).
Adam Sypniewski is Deepgram's Chief Technology Officer. He earned his Ph.D. in experimental astrophysics from the University of Michigan, where he applied machine learning to help understand dark energy. After graduating, Adam went into industry, applying machine learning and deep learning to problems of autonomous vehicles and human-machine interaction. At Deepgram, he leads the research and engineering teams in building state-of-the-art speech recognition that are deployed on Deepgram's high-performance computing platform.
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.
Sam is a linguist with an MBA who dreams about the day when machines can use language as well as humans do. At Deepgram, he works on strategy & operations, investor relations, and language model development.
Passionate CMO with a proven track record of creating exceptional digital experience, driving revenue growth, and elevating brand awareness for both large enterprise (IBM and HPE) and hyper-growth startups (Scale AI, HashiCorp, ServiceTitan, and UpKeep).
Chris was the first go-to-market hire at Deepgram bringing 10 years of GTM and Sales experience from brands such as TechValidate (acquired by SurveyMonkey, now Momentive.ai) to scale the Deepgram team and customer base to where it is today.
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 of Finance at Yext. He holds a BS in Engineering from Bucknell and an MBA from Duke.
Ralphie was the first Customer Success hire at Deepgram, bringing 12 years of technical support, implementation management, and customer success experience. She has spent the last 4 years building Customer Success teams from the ground up.
Andrew is a computational scientist and theoretician turned Deep Learning researcher. He earned is PhD in Mechanical Engineering from MIT where he worked on simulating body armor fragmentation using giant supercomputers. After graduating, he worked for an energy company designing shaped charges and other explosive devices using AI. At Deepgram, he is a Research Scientist and Team Lead, where he does exploratory deep learning research and builds awesome new NLU products.
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We’re on a mission to become the human language company.
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