Data Residency Is a Deployment Decision, Not a Feature Toggle

A shared SaaS messaging platform decides where your data lives for you. If you need it to sit in a specific country or region, whether that's driven by a regulation, an internal policy, or a customer contract, the only real lever is choosing infrastructure you control the location of. That is what deployment model actually settles.

Two Ways to Control Where Data Sits

Model Where Data Sits Best Fit
Fully On-Premise Physical servers in a facility you own Strictest residency and physical control requirements
Private Cloud A dedicated instance in your own AWS, Azure, or GCP account, in the region you pick Full control without owning physical hardware, with elastic scaling

Both run the same licensed SMS, WhatsApp, RCS, and AI agent software. See On-Premise Messaging Software and Private Cloud Deployment for the full breakdown of each.

Residency Control Across Every Channel

SMS, WhatsApp & RCS

AI Agents

  • AI Agent Builder lets you bring your own model key for OpenAI, Anthropic, Azure OpenAI, or Gemini, so you control which provider and region ever processes a query.

Bulk Data Exchange

  • Bulk SMS & RCS via SFTP moves files over an IP-restricted connection you control access to, not a public endpoint.

Multi-Region by Design

  • Run separate deployments in different regions to match each market's residency expectations, instead of one vendor-chosen location for everyone.

Need data to sit in a specific region?

Tell us your requirement, and we will walk through the deployment options that keep it there.

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Where Residency Requirements Usually Come From

Data residency rarely shows up as a standalone ask, it is usually a consequence of a specific regulation your business already has to answer to. See DPDP Compliant Messaging Software and RBI Guidelines Messaging Software for India, or GDPR Compliant Messaging Software for the EU.

FAQ

Frequently Asked Questions

Where the servers processing your messages, and the data those messages generate, physically or legally sit. With a shared SaaS platform, that decision belongs to the vendor. With software you deploy yourself, it belongs to you.

By choosing where the software runs. That can be a fully on-premise deployment in your own facility, or a private cloud deployment in a region of your own AWS, Azure, or GCP account. Either way, you are the one picking the location, not a vendor.

No. A private cloud deployment gives you the same residency control as on-premise, in a region you choose within your own cloud account, without owning physical hardware. See Private Cloud Deployment.

Yes. AI Agent Builder supports bringing your own model key for OpenAI, Anthropic, Azure OpenAI, or Gemini, so you can control which AI provider, and which region that provider processes requests in, ever sees a customer query.

It varies by industry and geography. India's DPDP Act and RBI guidelines, and the EU's GDPR, are common drivers. See DPDP Compliant Messaging Software, RBI Guidelines Messaging Software, and GDPR Compliant Messaging Software.

Yes. Because you control the deployment, you can run separate instances in different regions to match each market's residency expectations, rather than depending on a single vendor-chosen location.

Ready to talk through your requirements?

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LET US SCOPE YOUR DATA RESIDENCY REQUIREMENTS

Tell us which region and compliance requirements matter to you, and we will walk through the deployment options that keep data where you need it.

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