B2B SaaS Provider · vs · B2B SaaS Provider · B2C Consumer App / Platform
Deepgram vs ElevenLabs
Structured technology and market comparison · 2026
Direct Feature Comparison
Deepgram · vs · ElevenLabsVoice AI APIs for speech, voice agents and audio intelligence.
Voice AI platform for speech, agents, and audio creation.
Analyze all overlapping signals and tech stacks for Deepgram and ElevenLabs
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Deepgram and ElevenLabs?
Deepgram positions itself as a high-performance infrastructure layer for real-time speech-to-text and audio intelligence, catering to high-throughput enterprise workloads. Conversely, ElevenLabs targets the broader generative audio market, focusing on hyper-realistic speech synthesis, emotional nuance, and creative audio creation. While Deepgram excels in low-latency analytics and data processing, ElevenLabs leads in human-like voice cloning and expressive generation.
How do the features of Deepgram and ElevenLabs compare?
Deepgram and ElevenLabs overlap in conversational AI and voice agent orchestration, yet serve distinct technical requirements. Deepgram delivers optimized automatic speech recognition and self-hosted deployment models for stringent security buyers. ElevenLabs provides advanced text-to-speech APIs, expressive voice cloning, and creative studio applications. Buyers must choose between Deepgram's computational transcription scale and ElevenLabs' superior synthetic voice fidelity.
What are the top alternatives to Deepgram and ElevenLabs?
When evaluating Deepgram and ElevenLabs, enterprise buyers also consider other platforms in Conversational AI & Chatbots, Chat & Conversational UI, and B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Deepgram and ElevenLabs compare?
Deepgram is headquartered in United States (founded in 2015) with 201–500 employees. ElevenLabs is based in United States (founded in 2022) with 501–1,000 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Deepgram vs ElevenLabs
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Deepgram
Recent Signals
- ·techcrunchM&A
Deepgram acquires Daily to bolster voice AI infrastructure
Deepgram, a leading provider of speech-to-text and voice AI models, has announced the acquisition of Daily, the company behind the popular open-source voice AI framework Pipecat. The financial terms of the deal were not disclosed, but Deepgram has committed to keeping Pipecat open source. Pipecat manages voice and video streams, integrating STT, LLMs, and TTS while reducing latency. Deepgram aims to leverage Pipecat to enhance its real-time voice and video infrastructure, allowing developers to build expressive voice agents with pluggable models. Additionally, Deepgram is launching the Real-Time Context Standard (RCS), an open protocol co-developed with the Pipecat team, to standardize metadata in voice AI interactions. Daily had raised over $62 million from investors like Tiger Global and has been part of Y Combinator, like Deepgram.
- Deepgram acquires Daily, maker of open-source voice AI framework Pipecat
- Deal amount undisclosed; Pipecat remains open source
- Daily had raised over $62 million from Tiger Global and others
ElevenLabs
Recent Signals
- ·techcrunchAI Music
ElevenLabs and SoundCloud Partner for AI Music Publishing
ElevenLabs announced that users can now publish AI-generated music from its ElevenMusic platform directly on SoundCloud. The integration makes SoundCloud the first platform to allow ElevenMusic creations to be shared beyond ElevenLabs' own ecosystem. As part of the partnership, SoundCloud Artist Pro users receive three months of ElevenMusic Pro, which includes up to 1,000 song generations, 500 stem splits, and five custom styles or vocals per month. Since launching its music models in 2025 and a consumer app in April 2026, ElevenLabs reports over 25 million tracks generated. SoundCloud has also embraced AI tools, recently partnering with Moises for song import/export. The move contrasts with platforms like Deezer and Bandcamp, which are filtering or banning AI-generated music, while Spotify and YouTube are labeling such content.
- ElevenLabs and SoundCloud partner to allow publishing AI-generated music directly on SoundCloud.
- SoundCloud Artist Pro users get three months of ElevenMusic Pro.
- Over 25 million tracks have been generated using ElevenLabs' music models.
- ·https://martechseries.com/feed/Platform
Sequel Launches AI Agents Combining Website and Webinar Data
Sequel, a company that transforms webinars and video into a go-to-market engine, has announced the general availability of Sequel Agents, AI agents for webinar and video marketing powered by first-party audience context. These agents help marketing teams plan programs, create content, understand their audience, and act on engagement, extending the value of each webinar beyond the live broadcast. The agents use combined first-party website and video engagement data to publish recaps, adapt website experiences, and draft follow-ups. Customers can start with three types of agents (Build, Scale, Convert) or build custom agents. All agent workflows require human approval before sending emails, making changes, or pushing leads to CRM. ElevenLabs generated $14 million in attributed pipeline using the technology, and Unit21 automated 80% of post-webinar work.
- Sequel announced general availability of Sequel Agents for webinar and video marketing.
- Sequel Agents use first-party website and video engagement data to plan programs and create content.
- Customers can start with Build, Scale, and Convert agents or build custom agents.
- ·techcrunchAI
Nvidia Releases New Open Transcription Model
Nvidia has released Nemotron 3.5 Transcribe, a free, open-weight speech-to-text model that can transcribe audio in up to 40 languages and translate 31 languages to and from English. It supports recordings up to one hour long and can distinguish up to eight speakers. The company also released version 2 of its Granary open-source speech dataset. The model is targeted at developers building meeting transcription and medical transcription applications. It runs on a single chip, from edge devices like Jetson AGX Thor to datacenter Blackwell chips. Nvidia claims it beats rivals on benchmarks like Hugging Face's Open ASR Leaderboard. However, it only works with recorded audio, not live streams, leaving real-time use to competitors like ElevenLabs. The release comes amid a wave of voice AI model launches from Mistral, ElevenLabs, and Salesforce.
- Nvidia released Nemotron 3.5 Transcribe, an open-weight speech-to-text model supporting 40 languages.
- The model can translate 31 languages to and from English and handle recordings up to one hour long.
- Nvidia also released version 2 of its Granary open-source speech dataset.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Deepgram and ElevenLabs share across the market ecosystem.
Unlock full capability matrix, client overlaps & technology stacks