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Is AI Making Your Organization More Productive or More Dependent?
Key Takeaways
- Deepgram raised $130M in a Series C led by AVP.
- The funding will support real-time Voice AI API growth and product development.
- Organizations will gain enhanced voice AI tools for scalable, accurate communication solutions.
Deepgram, a San Francisco-based voice AI platform provider, raised $130 million in Series C funding at a $1.3 billion valuation on January 13, 2026. AVP, an investment platform focused on high-growth technology companies across Europe and North America, led the round.
Existing investors Alkeon, In-Q-Tel, Madrona, Tiger, Wing, Y Combinator and BlackRock participated. New investors included Alumni Ventures, Princeville Capital and strategic partners Twilio, ServiceNow Ventures, SAP and Citi Ventures.
According to company officials, the funding will support international expansion and development of real-time Voice AI models. More than 1,300 organizations currently use Deepgram APIs.
Deepgram Builds Momentum Ahead of Series C
Throughout 2025, Deepgram assembled a comprehensive voice AI platform while achieving significant business milestones. In January 2025, the company reported cash-flow positivity for 2024 alongside growth metrics that included 400+ enterprise customers, 200,000 developers and more than one trillion words transcribed.
By mid-year, the company launched its Voice Agent API in general availability, giving enterprises a unified interface for building conversational AI agents.
Alongside the raise, Deepgram acquired OfOne, a YC-backed startup specializing in real-time restaurant and drive-through voice ordering. The company also expanded Nova-3 speech-to-text to 10 new languages.
Related Article: Why Voice AI Is the Most Natural Customer Experience Channel
Why Enterprise Voice AI Is Hitting an Inflection Point
Enterprise conversational AI is projected to grow 192% by 2031, reflecting major shifts in how organizations approach customer engagement.
Voice AI has evolved from experimental IVR systems into mainstream customer service infrastructure. Nearly 50% of US internet users have used voice assistants as of 2024, with 8.4 billion voice assistant units in active use worldwide.
Integration timelines have compressed significantly. Rapid vertical market implementation now takes weeks rather than months, and companies using AI-powered customer service report 20-30% reductions in operational costs.
Voice AI Use Cases Gain Traction Across Industries
the adoption of voice AI spans multiple sectors, including:
- Retail: 71% of consumers use voice assistants to browse and research products before buying.
- Automotive: BMW, GM, Tesla and Hyundai are incorporating voice AI into vehicles.
- Healthcare: Mayo Clinic deployed voice AI for patient support, billing and symptom checking.
- Financial Services: Banks prioritize fraud detection and multi-factor authentication via voice.
PwC research indicates 89% of customers prefer brands that offer voice AI support. Separately, 74% of customers prefer phone for high-stakes interactions.
"Much like Stripe delivered the API platform underpinning the payments economy, we believe Deepgram is poised to deliver the API platform underpinning the emerging trillion-dollar B2B Voice AI economy."
- Elizabeth de Saint-Aignan
General Partner, AVP
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Inside Deepgram’s Voice AI Platform Stack
Deepgram offers a suite of voice AI tools, such as:
| Offering | How It Works |
|---|---|
| Aura-2 | Text-to-speech model for enterprise applications |
| Nova-3 | Real-time speech-to-text model |
| Flux | Conversational speech recognition designed to handle interruptions |
| Voice Agent API | API for building conversational AI agents |
| Saga | Voice operating system for orchestrating speech workflows |
All models can be customized to domain-specific terminology and deployed as cloud APIs or through self-hosted and on-premises options.
Related Article: Voice AI Market Outlook: Vendors, Verticals and the Road to 2030
Deepgram at a Glance
Deepgram, founded in 2015, focuses on providing developer-centric voice AI solutions for engineering-led teams building or embedding voice capabilities into customer-facing systems. The company serves startups to large enterprises, particularly those in contact centers, voice agent development, telephony and SaaS.