List of Deepgram Text to Speech Customers
San Francisco, 94104, CA,
United States
Since 2010, our global team of researchers has been studying Deepgram Text to Speech 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 Text to Speech 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 Text to Speech for Chatbots and Conversational AI include: Jack in the Box, a United States based Retail organisation with 1079 employees and revenues of $1.69 billion, Quiq, a United States based Professional Services organisation with 100 employees and revenues of $10.0 million, Vapi, a United States based Professional Services organisation with 130 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using Deepgram Text to Speech, 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 Text to Speech 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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Jack in the Box | Retail | 1079 | $1.7B | United States | Deepgram | Deepgram Text to Speech | Chatbots and Conversational AI | 2025 | n/a |
In 2025, Jack in the Box deployed Deepgram Text to Speech as part of a Chatbots and Conversational AI initiative to power real time voice agents for customer service contact center and drive thru automation across the United States. Deepgram Text to Speech is used in combination with Deepgram's Voice Agent API to bind speech to text and text to speech into conversational call flows that handle order taking and automated responses.
The implementation centers on speech to text capture, text to speech synthesis, conversational orchestration and session management to support live audio streaming and two way conversational exchanges. Standard Chatbots and Conversational AI capabilities such as intent recognition and dialog management are applied to route interactions, surface prompts, and trigger order capture workflows. Configuration includes voice model tuning and prompt engineering to align synthesized voice output with Jack in the Box brand tone.
Integrations connect the Deepgram deployment to contact center telephony platforms and drive thru audio ordering systems, enabling automatic order capture and escalation to human agents when needed. Operational scope covers customer service and drive thru operations across sites in the United States, with the application influencing call handling, order processing, and front line operations. The system design supports session handoff between automated voice agents and live agents to preserve continuity of customer conversations.
Governance focuses on runtime monitoring, conversational quality measurement, and iterative voice model adjustment to maintain accuracy and customer experience. The deployment aims to reduce wait times and lower operational costs as stated in project objectives.
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Quiq | Professional Services | 100 | $10M | United States | Deepgram | Deepgram Text to Speech | Chatbots and Conversational AI | 2025 | n/a |
In 2025, Quiq integrated Deepgram Text to Speech to expand real-time voice capabilities within its conversational platform. The deployment targets customer service and digital messaging workflows across the United States and sits squarely within Chatbots and Conversational AI for voice-enabled interactions.
The implementation embeds Deepgram Text to Speech, marketed as Aura, into the live conversational runtime to deliver real-time speech synthesis for voice agents. Functional capabilities implemented include text-to-speech synthesis, runtime audio streaming tied to conversational state, and voice session orchestration to preserve context during multi-turn exchanges.
Integration work focused on connecting the TTS runtime to Quiq's conversational state management, intent detection, and agent handoff processes to enable seamless transitions between messaging and voice channels. Operational coverage is enterprise messaging and customer service use cases across the United States, with the TTS component invoked during live voice sessions to render agent and automated responses.
Governance and rollout emphasis included voice quality validation and conversational flow testing to ensure consistent voice rendering and response timing. The integration is reported to improve clarity and responsiveness for voice interactions.
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Vapi | Professional Services | 130 | $10M | United States | Deepgram | Deepgram Text to Speech | Chatbots and Conversational AI | 2025 | n/a |
In 2025 Vapi implemented Deepgram Text to Speech in the Chatbots and Conversational AI category to power enterprise voice agents and developer-facing telephony workflows. The deployment leverages Deepgram’s speech stack, explicitly combining Nova STT for transcription and Aura TTS models to drive synthetic voice in live customer interactions.
Deepgram Text to Speech is configured alongside Nova STT to provide end to end conversational capabilities, including real time transcription, text to speech rendering, and voice agent orchestration. Implementation details emphasize developer-facing telephony workflows, indicating API driven integration points and runtime configuration of TTS voices and STT models to support interactive IVR and agent assist scenarios.
Operational scope is focused on customer service and scheduling business functions within the United States, with the implementation described as enterprise scale for voice agent deployments. The rollout centers on embedding Deepgram Text to Speech into contact center and scheduling touchpoints, supporting both automated conversational agents and developer tools for telephony integration.
Vapi’s CTO highlighted that adopting Deepgram’s STT and Deepgram Text to Speech reduced latency and lowered integration complexity according to public coverage. Governance commentary is limited to the technical stack choice and runtime configuration strategy described in the source announcement.
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