Mirakash vs Cognigy
An enterprise conversational-AI platform covering voice and chat across a large integration surface, common in European contact centres.
Below is what Cognigy is good at, said without sandbagging, and where we differ — in terms you can check on a call with either of us.
Very broad integration surface and a mature platform.
Strong at large multi-channel deployments with existing contact-centre software.
Established governance and enterprise controls.
What we can do that is hard to answer
Indian languages on real phone calls
Malayalam, Hindi and Tamil among others, for both speech recognition and speech synthesis, on the public telephone network — not an English model with an accent setting, and not text-only. This is the difference that decides most deals we win: a platform built for English-speaking markets can be excellent and still be unusable for a call centre in Kerala.
Agents that improve from their own calls
Every call is transcribed and scored against a QA scorecard, and what worked is mined into a library the other agents draw on. QA is usually a separate product bolted on afterwards; here the loop closes without anyone exporting a spreadsheet.
Per-second billing, and voicemail detected
Calls bill on connected seconds rather than rounded-up minutes, and an answering machine is detected so a voicemail is neither billed nor talked to as though it were a person. On an outbound campaign where a third of dials reach voicemail, the difference between those two billing models is most of the bill.
A pipeline you can take apart
Speech-to-text, the language model and text-to-speech are separate stages behind one interface, so any of the three can be swapped — for cost, for quality, or for a language a particular vendor handles badly. Most platforms in this category are a single opinionated stack. That is simpler, and it is also why a customer who needs a different speech vendor for one language has no move to make.
When you should pick Cognigy instead
You have an existing enterprise contact-centre estate, a long list of systems to integrate, and the team to run a platform of that size.
We would rather tell you that now than three weeks into an evaluation. If that describes you, they are a good choice and we will say so on the call.
Everything on this page about Cognigy is drawn from their own public positioning and reviewed on 2026-08-15. Products move, and this one may be out of date before we notice — if we have got something wrong about Cognigy, tell us at mirakash.com/contact and we will correct it. We are not interested in winning an argument with a page nobody can reply to.
Put an agent on your line this week
A walkthrough on a real call — voice pipeline, numbers, workflows, QA and human handoff working together.