Securely connect AI to any of your data, wherever it lives, with sources cited and permissions respected.
The leading models know a great deal about the world and nothing about your organization. Connecting them to internal data usually means moving it somewhere security can't see. Liminal connects AI to your data inside your single-tenant service, with existing permissions respected and sensitive data protected before it reaches a model. You decide what to connect, and when.
Liminal connects to your systems through MCP, searches your document repositories, and shows exactly where every answer came from.
Use Liminal's MCP and Enterprise Search capabilities to link thousands of systems, from Salesforce and ServiceNow to SharePoint and Google Drive.
Liminal respects existing access controls, so people only get answers from data they're allowed to see.
The most relevant content is retrieved and ranked for each question.
Every answer cites where it came from, so people can verify before they act.
Connected data makes AI far more useful, and raises the stakes on what goes into a prompt. Liminal protects sensitive information before any prompt reaches a model.
No. Many organizations start with secure access to the leading models and connect data sources when they're ready.
Through MCP, Liminal connects to virtually any system that makes its endpoints available, from business applications to internal tools. Enterprise Search adds document repositories such as SharePoint, Google Drive, Box, and Confluence.
Enterprise Search follows the permissions in each source system, so answers only draw on content each person is allowed to see. Connections people authorize with their own accounts work the same way.
Your Enterprise Search index stays in your single-tenant Liminal service. Only the relevant excerpts are sent to the model as context, and sensitive data is protected before any prompt reaches a model.
Tell us about your team and we'll show you how Liminal fits your environment.
