Deepgram Raises $47M to Enhance Its AI Speech Recognition Tech

To date, the companys total equity funding reaches $86 million that it plans to put toward innovating the high-performance speech tech sector.Whereas natural language processing solutions have historically taken a text-based approach, according to a company release, Deepgram prioritizes audio with the goal of incorporating intonation and inflection into sentiment analysis, speaker labeling, summarization and other services.The companys enterprise product is built to facilitate automatic speech recognition made to understand the nuances of human speech. While situated in an underground bunker, the pair continually recorded themselves and the audio surrounding them.In the hours not devoted to research, we life-logged, Stephenson told Built In via email. When we tried to go back and find key conversations and specific moments in those audio files, we felt the very real pain of not having a good tool available to help process the recordings and pinpoint valuable timestamps. Deepgram wants to develop solutions for elements of speech such as emotion detection, intent recognition, summarization and more.The company is also hiring for several roles. Deepgram is currently looking to fill remote positions across teams including engineering, customer success, research and sales.