Deepgram builds voice-native foundation models and developer tools that enable instant, accurate, and human-like voice interactions at scale. The platform has processed over 50,000 years of audio and more than 1 trillion words, serving 200,000+ developers and 1,300+ organisations including Twilio, Cloudflare, and IBM.
The company's core technical strengths lie in speech recognition, low-latency audio inference, and natural language processing optimised for voice. Its foundation models are engineered to deliver the lowest latency, highest accuracy, and enterprise-grade reliability at scale - addressing the computational complexity and data scarcity challenges that have historically constrained voice AI development.
Deepgram's research-driven approach focuses on reducing the barriers to deploying sophisticated voice AI. The platform provides developers with APIs and tools to build voice-native applications without managing the infrastructure overhead of audio processing. The company raised $130 million in Series C funding, achieving a $1.3 billion valuation, and positions itself as the most experienced voice AI platform globally.
