Deepgram provides a voice AI platform that offers APIs for speech-to-text, text-to-speech, and natural language understanding, enabling developers to integrate advanced voice capabilities into their applications. The technology addresses the need for accurate and efficient transcription and voice interaction, delivering real-time processing and support for over 30 languages at a significantly lower cost and faster speed than traditional solutions.
Funding
$103.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+1Founders
Product
Problem
Many organizations struggle to efficiently and accurately transcribe audio data, hindering their ability to extract valuable insights from customer interactions, meetings, and other voice-based communications. Existing solutions often lack the speed, accuracy, and cost-effectiveness required for large-scale deployments.
Solution
Deepgram provides a suite of Voice AI APIs that enable developers to integrate advanced speech-to-text, text-to-speech, and audio intelligence capabilities into their applications. The platform leverages optimized GPU infrastructure and proprietary speech and language models to deliver high accuracy, real-time processing, and cost-effective performance. Deepgram's APIs support over 30 languages and offer features such as speaker diarization, smart formatting, and automatic language detection. The platform's audio intelligence features, including summarization, sentiment analysis, and topic detection, allow businesses to gain deeper insights from voice data.
Target Audience
Deepgram's primary customers are developers, startups, and enterprises building voice-enabled applications in industries such as contact centers, medical transcription, conversational AI, and media transcription.
Features
- Speech-to-text API with industry-leading accuracy, powered by Nova, Enhanced, and Base models
- Text-to-speech API offering responsive, natural-sounding voices with Aura models
- Voice Agent API for building conversational AI agents that can listen, think, and speak
- Audio Intelligence API for summarization, topic detection, sentiment analysis, and intent recognition
- Support for over 30 languages, enabling global deployments
- Real-time streaming transcription with latency times under 300 milliseconds
- Speaker diarization to identify different speakers in an audio stream
- Smart formatting to automatically format transcribed text for readability
- Automatic language detection to identify the language being spoken
- Redaction and entity detection to protect sensitive information
- Multichannel support for transcribing audio from multiple sources
- Self-hosted deployment options for enterprise customers