Realtime voice pipeline
Give your agent a voice that feels human. Mirakash runs a realtime STT→LLM→TTS pipeline with sub-second latency and barge-in, over eleven pluggable provider adapters or native Gemini Live — swap any stage without touching the agent.
Voice agents that lag or talk over you break the illusion
A stitched-together voice stack adds a beat of latency at every hop, can't be interrupted, and locks you to one vendor. Callers hear a robot, talk over it, and hang up. The pieces are the problem — not the model.
The flow, end to end
Listen
Streaming STT transcribes the caller in realtime as they speak, not after they finish.
Think
The LLM reasons over the transcript, knowledge, and tools to form the next turn.
Speak
Streaming TTS voices the reply immediately — and yields the moment the caller barges in.
What's in the box
Sub-second pipeline
STT→LLM→TTS streams end to end with the latency budget a real conversation needs.
Barge-in
Callers can interrupt mid-sentence; the agent stops, listens, and picks the thread back up.
~11 provider adapters
Deepgram, AssemblyAI, ElevenLabs, Cartesia, PlayHT, Rime, LMNT, Azure — mix and match per stage.
Native Gemini Live
Or run the whole turn on Gemini Live as a single realtime model, no separate STT and TTS.
Swap any stage
Change STT, LLM, or TTS independently — the agent config never has to know.
The pipeline defines the flow. The providers are swappable parts.
STT, LLM, and TTS are three stages on one realtime rail. Each stage is an adapter you can swap without rewiring the agent — so you tune for latency, accent, or cost without a rebuild.
- ✓One realtime rail, three independently swappable stages
- ✓Eleven provider adapters, plus native Gemini Live as a single model
- ✓Agent config is decoupled from which vendor runs each stage
Every turn is streamed, interruptible, and traced
Audio is transcribed as the caller speaks, the model reasons on the partial, and speech streams back with a latency budget tuned for turn-taking. Barge-in stops the agent mid-word, and every stage is measured so you can see exactly where a slow turn went.
- ✓Streaming STT and TTS keep each turn sub-second
- ✓Barge-in interrupts the agent mid-sentence
- ✓Per-stage timing traced for every turn
Workflows & automation
An event-driven, node-graph engine that turns any signal into the right action, automatically.
Learn moreTelephony & numbers
Provision phone numbers in one click across three account models — inbound, outbound, encrypted at rest.
Learn moreAnalytics & dashboards
Turn every conversation into insight — containment, escalation, sentiment, duration, and cost per agent.
Learn moreReady to put an AI agent on every call?
Book a walkthrough and see the voice pipeline, telephony, workflows, QA, and human handoff working together — on one platform.