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Private Cloud Deployment for Messaging Software

Your own AWS, Azure, or GCP account, running SMS, WhatsApp, RCS, and AI agents

Illustration about Private Cloud Deployment for Messaging Software

A Dedicated Instance, In a Cloud Account You Control

Not every team wants to buy and rack physical servers, but plenty still need the control that comes with owning the infrastructure a shared multi-tenant SaaS platform can't offer. Private cloud deployment is the middle ground: the same licensed SMS, WhatsApp, RCS, and AI agent software runs as a dedicated, single-tenant instance in your own AWS, Azure, or GCP account, so you keep control of data, routing, and access, without maintaining a data center.

Public Cloud SaaS vs. Private Cloud vs. On-Premise

Dimension Public Cloud SaaS Private Cloud Fully On-Premise
Infrastructure Shared, multi-tenant, vendor-hosted Dedicated instance in your own cloud account Physical servers you own
Data location Wherever the vendor hosts the platform Your chosen cloud region, under your account Your own facility
Scaling Handled by the vendor Elastic, you provision as traffic grows Requires new hardware
Maintenance None, but no visibility either You manage the cloud environment; no physical hardware You manage hardware, power, and networking too
Best fit Fast start, low control requirements Full control, without owning a data center Strictest data residency and physical control needs

If your requirements point toward the strictest end of that scale, see On-Premise Messaging for Banking & Fintech for the fully self-hosted model.

Every Channel, In Your Own Cloud Account

SMS & SMPP

  • Run your own SMPP client and server on infrastructure you provision.
  • Dynamic routing and automatic failover across the vendor connections you choose.
  • DLT template matching validated before a message is queued.

WhatsApp & RCS

  • Two-way WhatsApp Business API conversations from your own environment.
  • Rich, branded RCS messaging alongside it.
  • Same account, same infrastructure, no separate vendor to manage per channel.

AI Agents, With Guardrails

  • AI Agent Builder runs alongside your other channels, with PII redaction and topic guardrails per bot.
  • Bring your own model key for OpenAI, Anthropic, Azure OpenAI, or Gemini if you need to control the provider.
  • Deploy the same agent to WhatsApp, RCS, SMS, Telegram, and your website via the Website Chat Widget.

Provider-Agnostic by Design

  • Licensed software, not a platform locked to one cloud vendor.
  • Installs the same way on AWS, Azure, GCP, or another provider.
  • Move or add regions as your footprint changes, without re-licensing.

Planning a private cloud deployment?

Tell us your cloud provider, region, and expected traffic, and we will size the deployment across channels.

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Who Chooses Private Cloud

Growing Platforms

Teams that need to scale traffic up or down without over-provisioning hardware they'll only use during peaks.

Multi-Region Operations

Businesses that need separate instances in different regions to match each market's data residency requirements.

Regulated Industries

Banks, fintechs, healthcare, and government teams that need infrastructure control but already run on cloud, not physical data centers.

FAQ

Frequently Asked Questions

A dedicated, single-tenant instance of the software running in a cloud account you control, such as your own AWS, Azure, or GCP subscription, instead of a shared multi-tenant SaaS platform. It is the same licensed software used for a fully on-premise deployment, just installed on cloud infrastructure instead of physical servers you own.

The software and licensing model are the same. The difference is the infrastructure underneath it: on-premise means physical servers in your own data center, private cloud means a dedicated instance in your own (or a dedicated) cloud account. Private cloud gives you elastic scaling without buying hardware; on-premise gives you infrastructure that never leaves a facility you physically control. Both keep data off a shared multi-tenant platform.

Any of them. Since it is licensed software rather than a platform tied to one vendor, it installs on a server the same way whether that server sits in AWS, Azure, GCP, or another provider, or in your own data center.

Yes - that is the main advantage private cloud has over pure on-premise. You can size compute to your current traffic and scale it as volume grows, without procuring and racking physical hardware first.

SMS over SMPP, WhatsApp Business API, RCS, Voice Call, Two-Way SMS, and Telegram all run on the infrastructure you provision. AI Agent Builder and the Website Chat Widget layer on top, with per-bot PII redaction, topic guardrails, and BYOK model support if you need to control which AI provider ever sees customer data.

Yes. Because you control the cloud account and region, you can run separate instances in different regions to match data residency requirements for different countries, rather than depending on wherever a SaaS vendor happens to host their platform.

Ready to scope your deployment?

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LET US SCOPE YOUR PRIVATE CLOUD DEPLOYMENT

Tell us which cloud provider, region, and traffic volume you are planning for, and we will size a private cloud deployment across SMS, WhatsApp, RCS, and AI agents.

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