Deepgram is a category-leader in the voice AI space, providing a real-time speech-to-text and language understanding platform designed to redefine how enterprises harness audio data. By moving beyond the accuracy limitations of legacy speech recognition providers, Deepgram enables developers to deploy high-performance AI models that handle complex transcription, summarization, and sentiment analysis at scale. Its flagship API platform leverages end-to-end deep learning to transform raw audio into actionable intelligence, processing millions of minutes of speech for some of the world's most innovative organizations.

Deepgram has raised $130 million in its Series C funding round, bringing its valuation to $1.3 billion. The round was led by AVP, with participation from Alkeon, In-Q-Tel, Madrona, Tiger Global, Wing, Y Combinator, Alumni Ventures, and Princeville Capital, alongside strategic investments from Twilio, ServiceNow Ventures, SAP, and Citi Ventures.

Deepgram, headquartered in San Francisco, California, United States, was founded in 2015 by Scott Stephenson, Adam Sypniewski, and Noah Shutty. "As we rapidly approach a world where billions of simultaneous conversations are powered by Voice AI, enterprises and developers need real-time, reliable infrastructure capable of fully duplex, contextual conversations at scale – this is Deepgram. From pioneering end-to-end deep learning for voice, to earning multiple patents for our research, to our commitment to pass the Audio Turing Test at scale in 2026, we've consistently executed on a single vision: powering a future centered on the original human interface – voice," said Scott Stephenson, CEO and co-founder of Deepgram.