A call that holds a conversation
It listens, answers without an awkward gap, handles being interrupted, and speaks the caller'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.
22
languages our voice product already handles
3
voice systems of our own in production
6
parts of the pipeline we tune per flow
Three voice systems, all of them ours
Which means we can show you the inside of them, including the parts that were hard.
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.
Six things that decide whether a voice system works
None of them is the model. Voice is a latency problem wearing a language problem's clothes.
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.
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'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
Bring the five calls you get most
This is our AI engineering practice
It is real work and it is where our four products came from. But what Cognilium leads with is narrower: optimization apps that run in tandem with Microsoft Dynamics 365, computing the decisions the ERP records but does not derive — the optimal price, the optimal pick path, the optimal stock level. See the optimization apps · How we build inside the ERP.