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Deepgram Raises $130M Series C at $1.3B Valuation to Power the Voice AI Economy, Acquires OfOne

  • Writer: Karan Bhatia
    Karan Bhatia
  • Jan 14
  • 2 min read

Deepgram, enabling human-machine interactions with voice AI, led by Scott Stephenson, Adam Sypniewski, Shadi Baqleh, and others, has secured $130 million in Series C funding at a $1.3 billion valuation, led by AVP. All major existing investors joined the round, including Alkeon, In-Q-Tel, Madrona, Tiger, Wing, Y Combinator, and funds and accounts managed by BlackRock. Several new investors, including Alumni Ventures and Princeville Capital, participated in the round, alongside industry leaders such as Twilio, ServiceNow Ventures, SAP, and Citi Ventures. University of Michigan and Columbia University also invested, joining other existing academic investors such as Stanford University. Deepgram also announced today the acquisition of OfOne, an AI-native voice platform created for restaurants and the quick-service drive-thru market.


The new investment positions Deepgram to deliver real-time frontier Voice AI models capable of supporting billions of human-level conversations with low latency and high accuracy. AVP led the round, recognizing Deepgram’s potential to become the core API infrastructure for the rapidly expanding B2B Voice AI economy.


Deepgram’s scalable deep-learning architecture, patented research, and progress toward achieving the Audio Turing Test at scale underscore its leadership in enabling fully duplex, contextual voice interactions. The participation of new strategic investors highlights strong conviction in the accelerating Voice AI ecosystem and Deepgram’s pivotal role within it.


Over 1,300 organizations rely on Deepgram APIs as a core infrastructure layer for real-time, accurate, and reliable Voice AI capabilities, including speech understanding, speech generation, analytics, orchestration, and autonomous voice agents. Twilio’s global communications stack, enhanced by Deepgram-powered speech recognition, enables seamless, low-latency, human-like AI agent experiences.


Key Deepgram offerings include Aura-2 for enterprise text-to-speech, Nova-3 for real-time speech-to-text, Flux for handling conversational interruptions, the Voice Agent API for scalable AI agents, and Saga as the voice operating system. All models support customization and flexible deployment across cloud, self-hosted, and on-premise environments.


Deepgram has acquired OfOne, an AI-native voice platform for restaurants and drive-thru operations, known for delivering over 95% containment and strong operational impact for major QSR brands.


OfOne’s team and technology now form the core of Deepgram for Restaurants, aimed at improving customer experience, order accuracy, and staff support through real-time voice automation. The move strengthens Deepgram’s position in large-scale restaurant automation, with expanded features and integrations on the way.


New funding accelerates Deepgram’s growing IP portfolio, which now includes several major U.S. patents granted in 2025. Key patents cover unified ASR–transformer training for higher accuracy and speed, hardware-efficient processing for lower latency and cost, and neural state–based indexing for faster audio search and classification. Together, these advancements strengthen Deepgram’s position in core deep learning architecture and large-scale deployment efficiency.


Deepgram is launching a Voice AI Collaboration Hub in San Francisco to unite the voice AI community. The space will host hands-on sessions, live demos, executive briefings, community meetups, and developer hackathons, fostering collaboration that transforms ideas into products and advances the future of Voice AI.

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