Deepgram provides the voice infrastructure layer that developers use to add speech capabilities to applications without building ML models from scratch. The platform's Nova-3 speech-to-text model delivers real-time transcription with sub-300ms latency and industry-leading word error rates, supporting streaming audio input for live conversations, phone calls, and voice interfaces. The text-to-speech API produces natural-sounding voice output with emotional control and multiple voice options.
What distinguishes Deepgram from alternatives like Google Speech-to-Text or AWS Transcribe is its focus on developer experience and conversational AI use cases. The API handles voice activity detection, endpointing, interim results, and interruption management that are essential for building responsive voice agents. SDKs are available for Python, JavaScript, Go, Rust, and .NET, with WebSocket support for real-time streaming. The platform also provides pre-built integrations for telephony systems and popular agent frameworks.
Deepgram raised $130M in Series C funding in January 2026 at a $1.3B valuation, reflecting the growing demand for voice AI infrastructure as more products integrate conversational interfaces. The platform serves over 1,300 organizations and processes billions of minutes of audio. Pricing starts at $0.0043 per minute for the Nova-3 model with a free tier for development, making it accessible for prototyping while scaling to enterprise-grade volumes for production deployments.
