---
title: "Voice AI Engineering"
canonical_url: "https://cognilium.ai/services/voice-ai"
slug: "services/voice-ai"
section: "services"
page_type: "pillar"
date_modified: "2026-09-29"
description: "Real-time voice systems that hold a conversation: low latency, interruption handling, many languages, and the business systems updated while the call is live."
publisher: "Cognilium AI"
author: "Mudassir Marwat"
person_same_as:
  - "https://www.linkedin.com/in/mudassir-marwat/"
  - "https://orcid.org/0009-0008-1927-2598"
  - "https://github.com/mudassirmarwat"
  - "https://medium.com/@mudassir-marwat"
  - "https://www.youtube.com/@mudassir-marwat"
  - "https://dev.to/mudassirmarwat"
  - "https://hashnode.com/@mudassirmarwat"
  - "https://huggingface.co/mudassirmarwat"
  - "https://bsky.app/profile/mudassir-marwat.bsky.social"
  - "https://substack.com/@mudassirmarwat"
  - "https://topmate.io/mudassirmarwat"
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  - "https://www.facebook.com/mudassir.marwat"
  - "https://www.reddit.com/user/mudassirmarwat/"
  - "https://www.f6s.com/member/mudassir-marwat"
  - "https://cognilium.ai/founder"
answers:
  - "Three voice systems, all of them ours"
  - "Six things that decide whether a voice system works"
  - "Where our voice proof comes from"
  - "Voice inside a workflow"
entities: []
related:
---

# Voice AI Engineering

**ProspectVox** Our outbound sales voice product: a five-stage workflow from research through to AI-led calls, with CRM sync, running in 22 languages.


## In short

**ProspectVox** Our outbound sales voice product: a five-stage workflow from research through to AI-led calls, with CRM sync, running in 22 languages.

**VectorHire voice interviews** AI-conducted candidate interviews, running as one of four screening agents working in parallel rather than in sequence.

**VORTA** Our support product, holding multi-turn multilingual conversations grounded in a customer's own knowledge base.

**The pipeline, or the shortcut** Speech to text, model, text to speech — or unified speech-to-speech where the transcription hop is the thing costing you the conversation. The choice is per flow, not per vendor.

**Latency as a design target** Sub-500ms is the target the pipeline is built against, because past that a caller starts talking over the system and never stops.

**Barge-in handling** People interrupt. A voice system that cannot be interrupted is a hold message with extra steps.

**Transport that survives a real line** Telephone and browser transport with per-call quality telemetry, and a fallback when packet loss makes the call worse than useless.

**Real-time transcription and sentiment** Scored as the call happens, so an escalation is triggered by the caller's state rather than by a post-call report.

**The workflow underneath** Voice alone is a feature. The call that books the meeting, updates the CRM or screens the candidate is a system.

It listens, answers without an awkward gap, handles being interrupted, and speaks the caller&apos;s own language.

And it updates the systems behind it while the call is still happening, which is the part that makes it a system rather than a demo.

languages our voice product already handles


## Three voice systems, all of them ours

Which means we can show you the inside of them, including the parts that were hard.


## Six things that decide whether a voice system works

None of them is the model. Voice is a latency problem wearing a language problem&apos;s clothes.


## Where our voice proof comes from

Our voice work is proven on our own products, not on a stream of recent client wins.

There is no active voice-AI client engagement right now, and you should know that before you buy rather than after. What is real: ProspectVox runs our own outbound campaigns at a 47% connect rate — our product&apos;s number, on our campaigns, never a promise about yours — and the pipeline craft behind it is genuine. The honest offer here is a demo on your own call flow, which in this category beats a reference anyway.


## Voice inside a workflow

**Support that answers at any hour** Grounded answers, sentiment-triggered escalation, and a warm transfer that carries the context with it.

**Screening that asks a follow-up** A structured interview that adapts, with every score citing the candidate's own words.

A demo beats a description in this category. Bring the five things your line hears most and we will run them through a live agent grounded on your own material, including the ones it should refuse to answer.


---

Canonical HTML: https://cognilium.ai/services/voice-ai
