Deepgram Overview

Deepgram transforms voice data into actionable insights with its Speech-to-Text (STT), Text-to-Speech (TTS), and Voice Agent APIs. Designed for enterprise needs, it delivers real-time accuracy and scalability. Whether you're a startup or a large enterprise, Deepgram's platform supports diverse voice AI applications. Its APIs make it easy to integrate voice capabilities into existing systems, unlocking new possibilities for customer interaction and data analysis. A standout feature is its ability to handle large volumes of voice data efficiently, making it a valuable tool for businesses looking to leverage voice technology at scale.

Use Cases

Customers recommend Helpdesk Management, Lead Qualification: Technographic, Sales Call Management, as the business use cases that they have been most satisfied with while using Deepgram.

Other use cases:

  • Business Development
  • Onboarding
  • Trade Show Marketing
  • Forecasting
  • Products & Pricelist Management
  • Contract Management
  • Sending & Publishing Communications
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Business Priorities

Increase Sales & Revenue and Launch New Products are the most popular business priorities that customers and associates have achieved using Deepgram.

Other priorities:

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Deepgram Use-Cases and Business Priorities: Customer Satisfaction Data

Deepgram works with different mediums / channels such as Phone Calls. and Promotions.

Deepgram's features include Recording, and Voice Transcription. and Deepgram support capabilities include AI Powered, 24/7 Support, Phone Support, etc. also Deepgram analytics capabilities include Custom Reports, and Analytics.

Deepgram offers real-time speech-to-text and text-to-speech APIs powered by advanced voice AI models. It ensures low latency, high quality, and scalable low-cost solutions.

Comprehensive Insights on Deepgram Use Cases

What makes Deepgram ideal for Helpdesk Management?

How efficiently Does Deepgram manage your Lead Qualification: Technographic?

9+ more Business Use Cases

16 buyers and buying teams have used Cuspera to assess how well Deepgram solved their business needs. Cuspera uses 179 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific business needs.

Case Studies

Information Technology and Services

CASE STUDY Revenue.io

Revenue.io used Deepgram's Speech to Text API to improve sales conversation analysis. The challenge was to accurately transcribe industry-specific terms, product names, and sentiment words. Deepgram ...allowed Revenue.io to train custom speech models using their own audio data. This led to a dramatic increase in transcription accuracy. The solution required minimal resources and was completed within weeks.

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Government Administration

CASE STUDY NASA

Deepgram's speech-to-text API helped NASA solve the problem of noisy audio from space missions. NASA needed at least 80% word recognition rate for useful transcripts, but other solutions failed to me...et this. Deepgram created a tailored model for space-to-ground communications, reaching up to 89.6% accuracy. NASA now uses Deepgram for four use cases, including mission communications and astronaut training. The solution allows NASA to quickly search mission audio and improve safety and efficiency.

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Information Technology and Services

CASE STUDY Five9

Deepgram's Nova-2 speech-to-text model was integrated into Five9's IVA Studio to improve contact center AI. Five9 faced challenges with self-service channels due to low accuracy in transcribing alpha...numeric speech. Deepgram provided real-time, highly accurate transcriptions, especially for account and order numbers. This led to increased efficiency, higher self-service containment rates, and improved customer satisfaction. A major healthcare provider using Five9 doubled user authentication rates after the switch.

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Information Technology and Services

CASE STUDY Sharpen

Sharpen used Deepgram's Speech to Text API to improve their contact center platform. They needed better automatic speech recognition (ASR) after their old solution gave poor transcription quality. De...epgram's deep learning model gave Sharpen much more accurate and faster transcriptions. The custom model feature helped Sharpen's customers get even better results. Sharpen saw a big difference in quality compared to their previous ASR tool.

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Information Technology and Services

CASE STUDY Tethr

Tethr used Deepgram's AI-driven speech recognition to improve its speech analytics platform. Tethr wanted to unlock customer insights from voice data and needed accurate, fast, and scalable transcrip...tion. Deepgram provided Tethr with high-accuracy transcripts, helping Tethr deliver actionable customer experience insights. Tethr expects greater efficiency and fewer false positives with Deepgram. This partnership lets Tethr focus on building better NLP models and user experiences.

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Information Technology and Services

CASE STUDY BIGVU

BIGVU uses Deepgram's Speech to Text API to create fast and accurate video captions. BIGVU needed a quick and cost-effective transcription solution to improve user experience and reduce wait times. D...eepgram's API integration cut transcription latency by 58%. This led to better customer experience, higher user engagement, and improved retention for BIGVU's video creation platform.

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lightning

Peers used Deepgram for helpdesk management and lead qualification: technographic

Deepgram Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

4.29/5 ★

Read Reviews (16)
Custom Reports

3.74/5 ★

Read Reviews (11)
Analytics

3.63/5 ★

Read Reviews (23)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

4.29/5 ★

Read Reviews (16)
Custom Reports

3.74/5 ★

Read Reviews (11)
Analytics

3.63/5 ★

Read Reviews (23)

Software Failure Risk Guidance

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for Deepgram

Top Failure Risks for Deepgram

Deepgram, Inc. News

Product

Deepgram Launches Voice Agent API: Worlds Only Enterprise-Ready, Real-Time, and Cost-Effective Conversational AI API

Deepgram has launched its Voice Agent API, a real-time conversational AI API designed for enterprise use. The API unifies speech-to-text, text-to-speech, and LLM orchestration into a single solution, eliminating the need for multiple integrations. It offers full control, transparency, and developer-friendly features, with pricing set at $4.50 per hour. The Voice Agent API targets contact centers, conversational AI, and speech analytics.

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Product

Deepgram has launched its Voice Agent API, positioning it as the only enterprise-ready, real-time, and cost-effective conversational AI API. This new API enables businesses to deploy advanced voice-driven conversational agents at scale, supporting real-time speech-to-text and natural language understanding for customer service, contact centers, and enterprise automation. The platform emphasizes reliability, speed, and affordability for large-scale deployments.

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Product

Deepgram Self-Hosted June 2025 Release (250610)

Deepgram released its June 2025 Self-Hosted update (version 250610), delivering new container images for its on-premises API and engine, including versions 1.146.1 and 3.89.2. The update requires NVIDIA driver version 550.163.01 or higher, supporting enterprise speech-to-text and voice AI deployments in private environments.

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Product

Deepgram Aura - 2 is a high - performance text - to - speech engine built for business interactions

Deepgram launched Aura-2, a high-performance text-to-speech engine designed for business interactions, enhancing real-time voice applications with clarity and low-latency performance for smoother AI-human conversations.

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Deepgram, Inc. Profile

Company Name

Deepgram, Inc.

Company Website

https://deepgram.com/

HQ Location

180 Capp St, San Francisco, California 94110, US

Employees

11-50

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Financials

SERIES A