Company Overview
About Deepgram
Deepgram is a speech AI company providing fast, accurate, and cost-efficient speech-to-text and audio intelligence APIs built on proprietary end-to-end deep learning models. Founded in 2015 and headquartered in San Francisco, Deepgram distinguishes itself from traditional speech recognition systems through a novel architecture that processes audio directly as waveforms rather than through phoneme-based intermediate representations, achieving lower latency and higher accuracy — particularly on domain-specific and accented speech.
Business Model & Competitive Advantage
The company raised $72 million in Series B funding in 2022, backed by BlackRock, Tiger Global, and others, and has positioned itself as the enterprise-grade alternative to AWS Transcribe, Google Speech-to-Text, and Azure Speech Services for applications requiring speed, accuracy, and customization. Deepgram's Nova-2 model achieves industry-leading accuracy on conversational speech, making it the preferred choice for call center analytics, meeting transcription, voice AI applications, and real-time captioning.
Competitive Landscape 2025–2026
In 2025, Deepgram has expanded beyond transcription into a full voice AI platform, launching Aura (text-to-speech), Voice Agent APIs for building conversational AI telephony systems, and Nova-3 with improved multilingual capabilities. The company competes with ElevenLabs (TTS), AssemblyAI (transcription), and Whisper (OpenAI, open source). Deepgram's differentiation in 2025 is the combination of low-latency streaming, competitive pricing at scale, and a one-stop-shop API for building complete voice AI applications without stitching together multiple vendor SDKs.
Open Positions
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Key Differentiators
Emerging Innovator
Deepgram is an emerging player bringing innovative solutions to the AI & Machine Learning market.
Frequently Asked Questions
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