Deepgram builds voice-native foundation models and a developer platform for speech recognition, speech-to-text and low-latency voice AI applications.
Deepgram is a research-driven, foundational AI company building voice AI technology and voice-native foundation models. Its stated aim is to give developers the tools to create human-to-machine voice interactions that are instant, accurate and human-like. Work spans speech recognition, speech-to-text, audio processing, deep learning and low-latency inference, with a stated focus on frontier model research.
Two product lines sit at the core of the business: voice-native foundation models, which the company says achieve the lowest latency and highest accuracy of any voice AI platform while meeting enterprise-grade reliability requirements at scale; and a voice AI developer platform, comprising tools and APIs for building voice applications. Technical work in machine learning, deep learning and low-latency inference underpins both.
Scale is substantial for the field. Deepgram reports more than 200,000 developers using its platform, 1,300 or more organisations as customers, over 50,000 years of audio processed and more than one trillion words. The company raised $130m in a Series C round and is valued at $1.3bn. It operates across voice and speech technology, developer tools, enterprise software, telecommunications and customer experience.
The company describes itself as developer-centric and mission-driven, with a culture built around foundational AI research and an emphasis on enterprise-grade reliability and scale.
