The Problem Nobody Talks About
You have an AI agent. It works great in a chat window. You want to give it a phone number. That should take an afternoon. Instead it takes months. Here is why: 80% of the engineering effort burns on speech infrastructure - not on the AI itself. The speech layer — transcription, synthesis, VAD, barge-in detection, endpointing, carrier connections — takes 10x longer to build than the agent logic. Most teams spend 3–4 months wiring this up before their agent takes a single real call. Your team should ship product - not run a speech infra company.What Unpod Is
Unpod is communication infrastructure for AI agents. We own the entire communication stack so you don’t have to.Phone Numbers
Provision numbers directly from Unpod or bring your own. No SIP trunk setup, no carrier account.
Fully Managed Speech
STT, TTS, VAD, barge-in, endpointing - all configured, monitored, and failed over automatically.
One Webhook
Your agent receives transcribed text and returns text. Audio never leaves Unpod.
How It Works
You already have an agent. It could be LangChain, a FastAPI endpoint, n8n, SuperDialog - anything that accepts text and returns text. Unpod gives it a phone number and handles everything between the caller and your logic.What This Looks Like in Code
This is a complete production voice agent using the Unpod SDK:Where Unpod Sits in the Stack
Who Unpod Is For
| You have… | Unpod gives you… |
|---|---|
| A Python agent | A phone number and fully managed speech in 2 hours |
| An HTTP endpoint | Inbound calls routed to it - no code changes |
| A LangChain chain | Drop-in adapter - voice in, voice out |
| A product to ship | Production voice in days - not months |
Next Steps
Unpod vs LiveKit vs Pipecat
How Unpod compares to audio frameworks on time to production and ownership.
How It Works
The communication stack - from caller to your agent and back.