Deepgram Accelerates Into 2025, Empowering 200,000+ Developers From Startups to Global Enterprises to Build Voice AI
Blog post from Deepgram
Deepgram announced record business and technical growth in 2024, reporting that more than 200,000 developers use its voice AI models for speech-to-text, text-to-speech, and speech-to-speech applications through cloud, self-hosted, and on-premises APIs. The company attributes its momentum to claims of high accuracy, low latency, cost efficiency, and adaptable models, with customers and partners including Jack in the Box and Vapi; Vapi stated that Deepgram delivered lower word error rates, faster processing, and lower costs than competing services. For 2025, Deepgram aims to become an end-to-end speech-to-speech provider for enterprise voice agents by addressing recognition accuracy in difficult audio conditions, scalable operating costs, real-time latency, and conversational context through compressed latent audio models, optimized streaming architectures, synthetic training data, and context-aware systems.
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