List of Deepgram Voice Agent Customers
San Francisco, 94104, CA,
United States
Since 2010, our global team of researchers has been studying Deepgram Voice Agent customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Deepgram Voice Agent for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Deepgram Voice Agent for Chatbots and Conversational AI include: Abby Connect, a United States based Communications organisation with 100 employees and revenues of $20.0 million, Jobcase, a United States based Professional Services organisation with 113 employees and revenues of $12.0 million, Revenue.io, a United States based Professional Services organisation with 100 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using Deepgram Voice Agent, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Deepgram Voice Agent customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Abby Connect | Communications | 100 | $20M | United States | Deepgram | Deepgram Voice Agent | Chatbots and Conversational AI | 2025 | n/a |
In 2025, Abby Connect deployed Deepgram Voice Agent, a Chatbots and Conversational AI application, to power its AI Receptionist and embed real-time speech-to-text into contact-center operations. The deployment used Deepgram Voice Agent to provide streaming transcription and live intent detection as the core speech pipeline for customer voice interactions.
Deepgram Voice Agent was configured to automate scheduling, handle frequently asked questions, and support quality assurance workflows, delivering conversational automation and transcription-driven QA capabilities. Functional modules implemented include real-time speech-to-text, conversational routing for the AI Receptionist, and QA transcription review to surface call segments for audit and coach purposes.
The solution was embedded directly into Abby Connect contact-center workflows in the United States, unlocking a new voice-agent product line and scaling to more than 100,000 calls monthly. Operational coverage focused on contact-center voice channels, with the Deepgram real-time transcription feeding downstream contact routing and QA processes.
Governance and operational changes centered on restructuring QA and call handling workflows to leverage automated transcripts and flagged call segments, which improved QA productivity and reduced audit time materially. The implementation positions Abby Connect to offer voice-agent services as a commercial product while consolidating speech-to-text driven operational controls within contact-center operations.
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Jobcase | Professional Services | 113 | $12M | United States | Deepgram | Deepgram Voice Agent | Chatbots and Conversational AI | 2026 | n/a |
In 2026 Jobcase deployed Deepgram Voice Agent under the Chatbots and Conversational AI category to power AI-driven inbound and outbound voice interactions for job-seekers in the United States. The implementation uses Deepgram Aura-2 TTS together with Deepgram STT in a unified speech pipeline to reduce text to speech latency and improve voice naturalness during live calls.
Implementation configuration centered on a real-time speech pipeline, combining automatic speech recognition and neural TTS to support conversational turn taking, session management, and call orchestration for both inbound and outbound workflows. Deepgram Voice Agent was configured to prioritize lower-latency TTS rendering and higher-fidelity audio output to create a more fluent first impression on initial contact.
Operational coverage focused on candidate engagement and contact center functions across the United States, where the deployment increased call throughput and produced a higher quality first impression on calls. The project also validated an on-prem deployment path for scale, providing a deployment architecture option beyond cloud-hosted inference for future capacity planning.
Governance and operational handoff centered on voice operations and candidate outreach teams, with processes adapted to manage the combined STT and TTS pipeline and to monitor voice quality and latency. The Deepgram Voice Agent implementation linked application level conversational controls to existing telephony workflows, enabling Jobcase to standardize voice interaction scripting and quality checks within contact operations.
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Revenue.io | Professional Services | 100 | $10M | United States | Deepgram | Deepgram Voice Agent | Chatbots and Conversational AI | 2024 | n/a |
In 2024, Revenue.io implemented Deepgram Voice Agent within its Chatbots and Conversational AI environment to train tailored speech models for its conversation-intelligence and revenue-operations platform in the United States. The deployment focused on embedding customized automatic speech recognition capabilities to improve capture of vertical-specific terminology and named entities across sales and revenue workflows.
Deepgram Voice Agent was configured to support custom speech model training and accelerated model customization, reducing iteration timelines to weeks. Functional capabilities implemented included enhanced transcription for analytics and coaching, named entity recognition tuning, and model adaptation pipelines to surface more accurate utterance-level metadata for downstream processing.
Integration points centered on Revenue.io's conversation-intelligence stack and the data streams that feed CRM and coaching features, ensuring transcriptions and entity annotations flowed into analytics and revenue operations workflows. Operational coverage targeted revenue operations, sales coaching, and analytics teams, aligning speech outputs with CRM data schemas and coaching content repositories.
Governance emphasized controlled model retraining and data quality checks to ensure transcription fidelity for coaching and analytics use cases. Outcomes reported by the integration included accelerated model customization timelines measured in weeks, improved transcription accuracy for analytics and coaching, and higher quality data feeding Revenue.io's CRM and coaching features, all delivered through the Deepgram Voice Agent implementation.
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