Deepgram
Building foundational AI for speech transcription and understanding.
San Francisco, United States · Founded 2015 · $286.0M raised
- Headquarters
- San Francisco, California
- Employees
- 51–200
- Founded
- 2015
- Business Model
- B2B
- Website
- deepgram.com
- Total Funding
- $286.0M
- Last Round
- $130.0M Series CJan 2026
- Rounds
- 8
About
Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.
Summary
Deepgram is an Artificial Intelligence company based in San Francisco, United States, founded in 2015. It has raised $286.0M in total across 8 rounds, most recently a $130.0M Series C round in Jan 2026. Investors include Wing VC, Y Combinator Continuity Fund and In-Q-Tel.
Tech & App Stack
7 technologies & apps tracked
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Funding History
Jan 2026
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Full funding history, per-round amounts, and investor participation.
Investors
Wing VC
4 rounds

Y Combinator Continuity Fund
4 rounds
In-Q-Tel
3 rounds
Tiger Global
3 rounds

Madrona Venture
2 rounds
AVP Ventures
1 round

Citi Ventures
3 rounds
Nvidia
3 rounds
SAP.io Fund
3 rounds
Alkeon Capital
2 rounds
BlackRock
2 rounds
Alumni Ventures
1 round
Princeville Capital
1 round
Twilio
1 round
ServiceNow Ventures
1 round

SAP
1 round

Compound
1 round
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