- Specialization
- Speech
- Business
- Inference Serving
- Market
- Cross Industry
- Ecosystem
- Not classified
- Customers
Developersand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Not classified
- Business
- Inference Serving
- Specialization
- Speech
- Market
- Cross Industry
- Customers
- Developers, Enterprises
- Delivery models
- API, On Premise Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Series C
- Reported funding amount
- $200M-$1B
About
Deepgram builds a real-time Voice AI platform offering speech-to-text, text-to-speech, and voice-agent APIs. It sells to developers, startups, enterprises, and organizations building voice products, differentiating through low latency, high accuracy, enterprise reliability, and support for cloud, self-hosted, and on-premises deployments.
Market
Deepgram competes in the enterprise Voice AI and speech infrastructure market, providing real-time Speech-to-Text, Text-to-Speech, voice-agent, and orchestration capabilities through APIs. It differentiates through a unified platform designed to reduce complexity, latency, and cost, alongside enterprise-grade accuracy, fast inference, scalable GPU infrastructure, and cloud, self-hosted, and on-premises deployment options.
Deepgram targets enterprise B2B organizations and AI-native software companies—especially teams building voice-enabled products, conversational AI, and other enterprise applications. Its buyers are typically engineering, product, and AI/ML leaders at enterprises, startups, and deep-tech companies that need real-time, scalable, accurate, and cost-efficient voice infrastructure.
At a Glance
Problem
Building voice-enabled products requires more than a single speech model: developers often have to combine speech recognition, speech generation, language-model orchestration, and production infrastructure. Deepgram was founded after its team identified a gap in the speech-to-text market, and the company frames the resulting pain as complexity, latency, accuracy, and scale—particularly for enterprise applications that need reliable, real-time interactions.
The killer use case is embedding live voice conversations and voice agents into software products without building the entire voice stack in-house. The economic value is reducing engineering and integration burden while making high-volume voice experiences practical, especially where slow or inaccurate transcription would degrade the user experience or raise operating costs.
Product / Service
Deepgram provides developer-facing Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Its speech-to-text service is positioned as accurate, low-latency transcription at enterprise scale, while the broader platform combines speech recognition, speech generation, and LLM orchestration through a single API rather than requiring customers to stitch together separate components.
The delivery model is an API platform for software developers and enterprise technology teams. Customers can use Deepgram’s models and infrastructure to add transcription, synthetic speech, and end-to-end voice-agent capabilities to their own applications, gaining a more unified implementation and a path to real-time voice experiences at scale.
Market
Deepgram competes in the voice AI and speech AI infrastructure market, spanning speech-to-text, text-to-speech, and voice-agent platforms. The competitive set includes specialized and general-purpose alternatives such as AssemblyAI, ElevenLabs, OpenAI’s speech tools, Amazon Polly, SoundHound, and other speech-model providers. Deepgram’s differentiation is its emphasis on developer APIs, real-time performance, enterprise scale, and combining multiple voice components into one platform.
The company is well beyond the pre-revenue stage. Deepgram announced a $130 million Series C at a $1.3 billion valuation, and its platform has been described as supporting the broader Voice AI economy. A third-party estimate puts annual revenue at approximately $21.8 million, while the company’s reported product usage and continued fundraising indicate meaningful commercial traction, even though audited financials are not publicly provided in the available research.
Founders & Leadership
Funding History
Y Combinator
Y Combinator, Compound
NVIDIA
Wing Venture Capital
Not disclosed
Tiger Global Management
Madrona
AVP
Recent News
Deepgram announced that it was a launch partner in LiveKit’s Startup Program. Pre-Series A teams in the program can receive $1,000 in Deepgram credits, available natively through LiveKit Inference.
Deepgram launched Nova-3 Pharma, an English speech-to-text model purpose-built for the pharmaceutical industry. The announcement described it as optimized for pharmaceutical terminology such as drug names.
Deepgram announced that its India endpoint is generally available on September 15, 2026. The managed endpoint enables teams to run voice AI with storage and inference inside India.
Deepgram made CLI 0.3.0 available, completing command-line support for Flux TTS. The release also fixes Flux STT streaming and enforces the CLI’s exit-code contract.
Deepgram released improved Nova-3 monolingual models for Bulgarian, Croatian, Estonian, Georgian, Italian, Latvian, Lithuanian, Malay, Marathi, and Telugu. The updates target higher transcription quality for batch and streaming workloads and are live for users.
Deepgram introduced flexible turn-taking controls for Flux. Developers can override, suppress, or combine Flux’s native end-of-turn detection and change the behavior dynamically through a Configure message.
Deepgram added Assamese, Mongolian, and Pashto to Nova-3 for batch and streaming transcription. It also released improved Nova-3 models for Czech, Danish, Swedish, Tagalog, and Turkish, with the updates live for users.
Deepgram released Self-Hosted version 260826 on August 26, adding general availability for Flux TTS on self-hosted deployments. The release also introduced a Flux TTS expressivity control and improved currency, date, and Japanese punctuation formatting.
Deepgram appointed Sriram Ved as Vice President and General Manager for APAC. He will lead the company’s regional strategy and oversee customer, partner, and go-to-market expansion as Deepgram builds its Singapore-based regional operations.
On August 18, Deepgram announced a strategic investment from EDBI as part of an extension to its US$130 million Series C funding. The announcement links the investment to Deepgram’s planned establishment of an APAC headquarters in Singapore.
Deepgram launched Flux TTS, a conversation-native streaming text-to-speech model designed for real-time voice agents, and made it generally available. The company offered free access through September 12, 2026, with up to 45 concurrent streaming connections globally.
Deepgram and Fortanix announced a partnership to deliver private voice AI for regulated industries. The partnership enables enterprises to run Deepgram’s voice AI models within their own environments while protecting sensitive data.
Deepgram launched Flux Multilingual, described as the world’s first multilingual conversational speech recognition model. Developers can begin using the model through Deepgram’s platform.
Deepgram announced its acquisition of OfOne, a voice AI platform for drive-thrus. The deal expands Deepgram’s restaurant-industry offering and real-time voice automation capabilities.
Deepgram announced a $130 million Series C financing at a $1.3 billion valuation. The funding supports the company’s real-time voice AI infrastructure and expansion of its platform.
Deepgram published an integration guide explaining how to integrate Deepgram models into Amazon Connect flows, connecting its speech AI capabilities with AWS’s cloud contact-center platform.
Deepgram expanded Aura-2 text-to-speech support to Dutch, German, French, Italian, and Japanese.
Deepgram announced a strategic collaboration agreement with Amazon Web Services. The collaboration includes expanded co-selling and go-to-market efforts and deeper integration with AWS services to accelerate enterprise voice AI deployment.
Active Roles
88Business Model
Deepgram monetizes access to its speech-to-text, text-to-speech, and Voice Agent APIs for enterprise voice applications, while also offering self-hosted and on-premises software deployments. The available evidence does not specify exact public pricing, so its revenue model is best characterized as API and enterprise software sales.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Y Combinator, Wing Venture Capital, Alkeon Capital Management, Citi, In-Q-Tel, SAP.iO, Columbia University, Princeville Capital