Deepgram, an enterprise Voice AI platform, has secured $130.0 million in new funding. The company provides developers with a comprehensive suite of voice-first tools, including speech-to-text, text-to-speech, and speech-to-speech APIs. Its platform is designed for building advanced voice applications, leveraging voice-native foundational models. Over 200,000 developers currently utilize Deepgram's technology, accessing its capabilities via APIs or self-managed software deployments.
Deepgram's offerings enable developers to process live-streaming or pre-recorded audio with high accuracy, convert text into natural-sounding AI voices for enterprise use cases, and build voice agents through a unified API. The platform supports accurate audio transcription in over 36 languages and allows for the training of custom models for unique requirements. Developers can also access deep natural language understanding (NLU) with a unified API and build in any programming language using Deepgram's SDKs, with options for on-premise deployment or Deepgram’s managed cloud.
This significant capital infusion underscores investor confidence in the growing demand for sophisticated Voice AI solutions across various industries. The newly raised funds are expected to accelerate Deepgram's product development roadmap, particularly in enhancing its foundational models and expanding its suite of developer tools. The company plans to use the investment to scale its operations, further support its expanding developer community, and drive innovation in voice technology.
Deepgram aims to solidify its position as a leading provider of enterprise Voice AI, empowering developers to create increasingly intelligent and intuitive voice-powered experiences. The funding will support the company's strategic initiatives to broaden its market reach and continue delivering scalable GPU infrastructure for training and inference, ensuring its platform remains at the forefront of voice AI innovation.
