Deepgram
Deepgram is a foundational AI company on a mission to become the 'human language company' by providing the world's best speech-to-text and text-to-speech APIs for enterprise Voice AI applications.
At a Glance
- Enterprise Software
- Contact Centers
- Media & Entertainment
- Healthcare
- +2 more
AI Tools by Deepgram
(1)Deepgram
Voice and Audio AI APIs
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Latest News
Deepgram introduces reusable agent configurations and API updates.
Deepgram and IBM Introduce Advanced Voice Capabilities for Enterprise AI.
Deepgram Raises $130M Series C at $1.3B Valuation and Acquires OfOne.
Deepgram Launches Flux - The World's First Conversational Speech Recognition Model.
Products & Services
Deepgram's flagship Speech-to-Text (STT) models offering high accuracy and low latency.
Text-to-Speech (TTS) models designed for real-time conversational AI applications.
An end-to-end API for building conversational voice agents with minimal latency.
A conversational speech recognition model built for human-to-machine interactions.
Market Position
Deepgram positions itself as the performance leader in Voice AI, focusing on real-time speed and task-specific accuracy compared to general-purpose models from Big Tech (Google, Amazon, Microsoft).
Leadership
Founders
Scott Stephenson
CEO and co-founder. Former dark matter physicist with a PhD from the University of Michigan. Conducted research 2 miles underground in China.
Adam Sypniewski
CTO and co-founder. Former particle physicist with a PhD from the University of Michigan.
Noah Shutty
Co-founder. Former physicist at the University of Michigan.
Executive Team
Scott Stephenson
Co-Founder & CEO
PhD in Particle Physics; founded Deepgram based on dark matter research.
Adam Sypniewski
Co-Founder & CTO
PhD in Physics; expert in deep learning and signal processing.
Board of Directors
Founding Story
Deepgram was born from machine learning research for waveform analysis in a dark matter detector located two miles underground in China. The founders, particle physicists at the University of Michigan, realized their signal processing tools could revolutionize speech recognition and understanding, which was previously lagging in accuracy and speed.
Business Model
Revenue Model
API usage-based (consumption model) with tiered pricing and enterprise licensing.
Pricing Tiers
$200 free credit to start, standard models.
Enhanced support and higher rate limits.
Dedicated support, custom models, and self-hosted options.
Target Markets
- Enterprise Software
- Contact Centers
- Media & Entertainment
- Healthcare
- Financial Services
- Retail
- Contact Center Automation
- Conversational AI Agents
- Media & Entertainment Captioning
- Healthcare Documentation
- Financial Service Compliance
- Sales Enablement
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