Mirakash vs Sierra
An enterprise conversational-AI platform for customer service, sold to large brands and known for pricing on outcomes rather than usage.
Below is what Sierra is good at, said without sandbagging, and where we differ — in terms you can check on a call with either of us.
A serious, well-engineered product with real enterprise deployments behind it.
Outcome-based pricing is a genuinely buyer-friendly idea and they made the category take it seriously.
Deep customer-service focus: the resolution-quality work is the core of the product, not a feature.
Strong brand and executive credibility, which shortens an enterprise procurement cycle.
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.
You can start without a sales cycle
Sierra is sold enterprise-first, with implementation alongside it. That is the right model for a very large deployment and a slow one for everyone else. Mirakash is built so a team can configure an agent, put it on a real number, and hear it work — and then decide.
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.
Self-hostable, and your credentials stay yours
The platform is API-first and can run in your own infrastructure, and bring-your-own vendor keys are encrypted at rest with AES-256-GCM. For regulated buyers who cannot send call audio to a vendor's cloud, this is frequently the whole decision.
Both pricing models, and you pick
We also offer per-resolution pricing, because for a support workload it aligns the incentive correctly. We offer per-second as well, because for outbound work — where the agent's job is to reach people, not to resolve tickets — a resolution is the wrong unit and outcome pricing quietly penalises the buyer for calls that were always going to be short.
When you should pick Sierra instead
You are a large Western brand with an English-speaking customer base, a big support organisation, and the appetite for an enterprise implementation. That is the deployment Sierra is built for and they do it well.
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 Sierra 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 Sierra, 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.