Platform

Running CallWhiz AI as SaaS, in your cloud or on-premise

The same CallWhiz AI platform runs as SaaS, inside your own cloud account, or on your own hardware. SSO, role-based access, data residency by region, multi-tenancy and a 99.9% uptime SLA are available when you need them, not required to start.

Updated 21 September 2026

In short: The same platform runs as SaaS, inside your own cloud account, or on your own hardware, with the same features either way.

Definitions

SaaS
CallWhiz AI hosted by us. Sign up and be live today.
Your cloud
The platform inside your own AWS, Azure or GCP account, so call audio never leaves your boundary.
On-premise
Bare metal or Kubernetes, for networks with no cloud at all.
Data residency
Keeping data within a chosen region.

What it does

  • SSO and role-based access, data residency by region, multi-tenancy, 99.9% uptime SLA: available when you need them, not required to start.
  • In-cloud and on-premise deployments are scoped first, then live on real calls in about 30 days.

The three modes

  • SaaS: sign up and be live today.
  • Your cloud: the platform inside your own AWS, Azure or GCP account, so call audio never leaves your boundary.
  • On-premise: bare metal or Kubernetes, for networks with no cloud at all.

Related questions

Can I run CallWhiz AI in my own cloud or on-premise?

CallWhiz AI runs as SaaS, inside your own AWS, Azure or GCP account, or on your own hardware (bare metal or Kubernetes), with the same features in every mode. In-cloud and on-premise deployments are scoped first and are typically live on real calls in about 30 days.

Does my call data leave my network?

It does not have to. The same platform runs inside your own cloud account or on your own hardware.

Does CallWhiz AI have SSO, data residency and an uptime SLA?

CallWhiz AI offers SSO and role-based access, data residency by region, multi-tenancy and a 99.9% uptime SLA. They are available when you need them and are not required to start.

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