Venaio Voice
In development

Venaio VoiceAI voice operations

Every conversation understood. Every outcome connected.


What it is

Phone support that listens instead of counting keypresses

"Press 1 for readings, press 2 for support" is a menu pretending to be a conversation. Venaio Voice answers the call, understands what the person actually wants, does the work in your systems, and hands over to a human the moment that is the right answer.

Real interruption handling

Speak over the agent and it stops — the model's response is cancelled and the audio already queued for playback is cleared. Not a pause. An actual interruption.

Multilingual by default

Native speech-to-speech, so callers are answered in the language they called in. No transcription round-trip, no separate translation step.

It does the work, not just the talking

The agent calls tools against your data — validate a code, list what is pending, submit a reading, book a callback — and keeps the conversation going with the result.

Escalation that keeps context

Live transfer or a deferred callback, with the transcript and what the caller was trying to do already attached. Nobody repeats themselves.

Config, not a rebuild

Multi-tenant and config-driven: a new number, a new voice, a new set of tools is configuration. The engine is not hard-wired to one use case.

Every call is auditable

Transcript, tool calls, outcome and cost are written per call, so you can see what the agent said, what it did, and what it cost.


How it works

One call, end to end

A phone call is a stream of audio with a hard latency budget. The architecture follows from that.

  1. The call lands on a phone number Twilio answers and posts to /voice/incoming.
  2. The tenant is resolved The number identifies the customer, a session record is opened, and Twilio is told to stream the audio to the bridge.
  3. The bridge holds the call open A dedicated service — not a request handler — keeps one WebSocket to Twilio and one to the model for the whole call, relaying audio both ways.
  4. The model listens and acts Speech in, speech out. When it needs to do something, it calls a tool and continues the conversation with the answer.
  5. Tools touch the real systems The same records your existing process already uses — no parallel copy of the truth to keep in sync.
  6. The call is written down Transcript, tool calls and outcome land against the session, ready for the operations console.

The bridge runs as its own service for one reason: a call lasts minutes, and a request/response platform will kill a connection that has nothing to say for thirty seconds.


The app

The same agent, without the phone call

The mobile client talks to the same agent over the network instead of over the phone network — hold to speak, get an answer, and the same tools run behind it. Useful when the person already has your app open and a phone call is the slower option.

Built with Flutter, so Android and iOS come from one codebase.

Android build

Not published yet. The current build is signed with a development key, which means it could never be upgraded to a store release in place — so it is not offered as a download. Ask and we will send you a signed build.

Google Play — coming App Store — coming
Request early access

Want it answering your numbers?

Tell us what your callers ring about today and what happens after they hang up. That is enough to say whether this fits.