How Replaiy stores and protects your data

Replaiy is designed to help customers run personal sales conversations on LinkedIn through trained AI personas inside a workspace. Because work happens at the workspace level, customers often want to understand how their data is handled and protected.

This article explains the practical side of data protection in Replaiy in simple terms.

What kind of data exists in Replaiy

Depending on how the product is used, data in Replaiy can include:

• Account and workspace information.

• Billing-related information.

• Connected LinkedIn setup.

• Persona training inputs.

• Conversation-related product data.

• Workspace-level usage data.

How data is organized

Replaiy is built around the workspace. That means product usage, seats, credits, and core settings are organized inside a workspace environment rather than being treated as isolated, unrelated user fragments.

How Replaiy approaches protection

At a practical level, customers should expect Replaiy to protect data through responsible product design, controlled account access, and documented privacy and security policies.

A few important principles:

• Access should be limited to the right people.

• Workspace ownership and seat access should be managed carefully.

• Sensitive business context should only be shared where needed.

• Customers should review who has access to the workspace on a regular basis.

What customers can do to improve protection

Customers also play a role in keeping data safe. Good practices include:

• Using strong account credentials.

• Limiting workspace access to the right team members.

• Removing unused seats or access when people leave.

• Keeping billing and account information accurate.

• Reviewing internal usage regularly.

Where to look for the legal details

For the formal legal and compliance details, customers should review the Privacy Policy, DPA, Subprocessors page, and Security FAQ in the same category.