Voice AI platform ready for production
One platform for speech-to-text, text-to-speech, and voice agents. First-party SDKs across six languages, ultra-low latency, deployed anywhere from cloud to air-gapped.
Everything the full stack gives you
Most voice AI is stitched together from parts never designed to work as one. Not Deepgram. Every layer of this stack (models, deployment, tuning, and support) is built and owned by Deepgram.
![Man talking to phone, text bubble shows the text "Can I move my appointment to Friday? [English]"](https://cdn.sanity.io/images/zf5tfwjf/production/7fb29eb49cb73a82aba5e2069893f40c5f98c763-1152x1152.jpg?q=75&auto=format&w=1152&h=1152&fit=crop&crop=center)
One engine under everything
Speech-to-text, text-to-speech, and voice agent orchestration run on one enterprise runtime. Automated adaptation, lossless compression, and hot-swapping built in.
Models built to converse
Our speech models understand dialogue. They tell a pause from a finished thought and carry context across turns.
Identical everywhere it runs
Cloud, VPC, on-premises, and air-gapped share one API surface, so accuracy and latency behave the same everywhere your data lives.
Accuracy, tuned to your data
Boost 100 terms at runtime with no retraining, run managed adaptation loops, or train a custom model on your audio.
The prototype is production
Start in the browser with no credit card, then take the same integration to production. Stream or batch, use Deepgram in the cloud or self-hosted, and keep the same developer experience.
Don’t build alone
Applied Engineers work alongside your team from first benchmark to production, covering architecture review, integration, and tuning. No more ticket triage.
Four layers, one platform
A vertically integrated voice AI platform, from the SDK you install to the runtime your compliance team signs off.
Developer experience
Streaming and batch over REST and WebSocket, first-party SDKs across six languages, and a browser playground.
Try the playground: Developer experience
Orchestration
Compose speech-to-text, a large language model, and text-to-speech into one streaming connection that handles turn detection, barge-in, function calling, and state.
See Voice Agent: Orchestration
Models
Real-time foundation models for speech-to-text and text-to-speech, plus task-specific models for summarization, sentiment, intent, topics, entities, and redaction.
See the models: Models
Enterprise runtime
Cloud, single-tenant VPC, on-premises, or fully air-gapped with no outbound network. SOC 2 Type II, HIPAA-eligible, PCI-aligned, and GDPR-compliant, with enterprise SLAs.
See self-hosted: Enterprise runtime
Numbers that matter in production
A demo is easy to build. Production is where teams hit the wall: real audio with accents, noise, and crosstalk; human-paced latency in live conversation; millions of concurrent calls at predictable unit economics; and control over where data runs. Here's what that actually takes.
- 70+languages supported
- ~260msend-of-turn-detection
- 99.99%Uptime SLA on Deepgram Dedicated
- 5,000+organizations building on Deepgram
These companies run on Deepgram
Trusted by the platforms you use
Communications infrastructure, voice agent platforms, and enterprise CX, all running production voice on the same models.
See who builds
“Twilio’s flexible orchestration capabilities and global communications infrastructure combined with speech recognition powered by Deepgram APIs deliver seamless, low-latency, and human-like AI agent experiences that are powering today’s Voice AI renaissance.”
Andy O'Dower
VP of Product Management, Twilio
"Our voice capabilities powered by Deepgram APIs deliver the accuracy, low latency, and quality our customers need to build reliable, real-time voice agents."
Nikhil Gupta
Founder and CTO, Vapi
“They don't just chase generic benchmarks; they tailor their models to deliver on the metrics that really matter to us.”
Josh Levin
Head of Product, Cresta
Pricing
Start free, scale on usage
Usage-based across every product, with no minimums. Rates drop with volume, and enterprise terms fit your requirements.
Pay as you go
For developers and startups
Free $200 credit then pay-as-you-go
Growth
For growing applications
Save up to 20%$4K+ / year
Enterprise
For production at scale
Custom pricing
FAQs
Real-time voice AI infrastructure, built for production. Four layers work together: models for speech, orchestration that composes them into a conversation, developer tooling to reach them, and an enterprise runtime underneath. The same models and API surface run in our cloud, your VPC, or air-gapped.
A speech API gives you transcription. The Deepgram platform gives you the orchestration that turns transcription into a conversation, the runtime that keeps it working at scale, and the deployment options your compliance team needs. Most teams start with one API and grow into the rest.
Yes. Many teams use speech-to-text on its own, or text-to-speech inside orchestration they already run. Adopting Deepgram Voice Agent is a choice rather than a requirement, and pricing is per product, so you pay only for what you call.
Cloud, single-tenant private cloud, your own VPC, on-premises, or fully air-gapped with no outbound network. The models and API surface are identical across all of them. Self-hosting requires NVIDIA GPUs and is available on Enterprise.
Three levels, depending on how much customization you need. Boost up to 100 domain terms at runtime with no retraining. Run automated adaptation loops that improve on your traffic over time. Or train a custom model on your own labeled audio.
Enterprise customers get basic support by default: the developer community, email, and self-serve documentation. Premium is a paid add-on required for self-hosted deployments, adding 24/7 on-call for severity one, a dedicated Slack channel, and direct Applied Engineering collaboration.