DocsGet startedIntroduction
Voice AI architecture, real-time pipeline, and platform overview

Introduction

Build voice AI agents that can make and receive real-time phone calls with human-like latency, conversational intelligence, and enterprise reliability.

Open Assistant Studio →


What is Tunk.ai?

Tunk.ai is an enterprise Voice AI platform for engineering, deploying, and monitoring conversational voice agents. We manage the real-time audio pipeline, telephony infrastructure across global telecom carriers, sub-second latency optimization, and multi-provider AI model orchestration so your team can focus on conversational workflows.

With Tunk.ai Voice AI, you can:

  • Deploy conversational voice agents with sub-second response times and natural interruption handling.
  • Make and receive phone calls natively via imported Twilio, Plivo, and Vonage phone numbers.
  • Connect custom APIs & tools via REST webhooks and Model Context Protocol (MCP) servers.
  • Ground agent responses with factual knowledge using document repositories (PDF, DOCX, TXT) and semantic RAG.
  • Run automated outbound campaigns to dial thousands of contacts with dynamic variables.
  • Bring Your Own Credentials (BYOC) across 9 AI providers for 0% token markup and direct account billing.

Tunk.ai Platform OverviewTunk.ai Platform Overview


How the Voice AI Pipeline Works

Every live phone call on Tunk.ai runs through a tightly synchronized, streaming audio pipeline:

Plain text
Caller Audio ──▶ [1. STT Transcriber] ──▶ [2. LLM Engine] ──▶ [3. TTS Synthesizer] ──▶ Spoken Audio
 (Telephony)       Deepgram / Azure        GPT-4o / Gemini     ElevenLabs / Cartesia      (Telephony)
🎙️

1. Speech-to-Text

Converts caller voice audio into real-time streaming transcripts with endpointing and speech silence detection.

Deepgram Nova-3 • Azure • Sarvam • Smallest
🧠

2. Large Language Model

Processes conversation turns, queries RAG knowledge bases, triggers external tools, and generates responses.

GPT-4o • GPT-4o-mini • Gemini 1.5 Flash / Pro
🔊

3. Text-to-Speech

Synthesizes LLM tokens into lifelike, expressive voice streams sent directly back down the audio channel.

ElevenLabs • Cartesia Sonic • Deepgram Aura

Platform Navigation Map

Quickly jump to the relevant section of the dashboard:

Feature AreaDescriptionDirect Dashboard Link
Anchor AIConversational builder to generate, inspect, and test assistantsOpen Anchor AI →
Assistant StudioConfigure models, prompts, voices, call settings, and post-call analyticsOpen Assistant Studio →
Phone NumbersImport and manage Twilio, Plivo, and Vonage phone numbersOpen Phone Numbers →
Knowledge BaseIngest PDFs, DOCX, and text files for grounded RAGOpen Knowledge Base →
Tools & MCPBuild custom REST API tools and connect MCP serversOpen Tools →
Outbound CampaignsUpload CSV contact lists and launch batch call campaignsOpen Campaigns →
Call RecordsListen to audio recordings, inspect transcripts, and view analyticsOpen Call Records →
BYOC IntegrationsConnect your OpenAI, Deepgram, Azure, and ElevenLabs API keysOpen BYOC Integrations →
API KeysGenerate secret workspace tokens for programmatic requestsOpen API Keys →
Do Not Disturb (DND)Set calling hours and regulatory quiet-period restrictionsOpen DND Rules →

Credential Options: Platform vs. BYOC

Tunk.ai provides two flexible models for powering your AI voice infrastructure:

  1. Platform Managed (Default): Use Tunk.ai's pre-configured cloud accounts for LLMs, STT, and TTS. Billed directly from your Tunk workspace credit balance per call second.
  2. Bring Your Own Credentials (BYOC): Connect your own API keys for OpenAI, Google Gemini, Deepgram, Azure, ElevenLabs, Cartesia, Sarvam AI, Smallest.ai, or AssemblyAI. Pay your provider directly with zero token markup.
Need help? Reach out on our support portal.