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Enterprise Layer Intelligence
Categories/Knowledge Management/Swirlaiconnect
Swirlaiconnect

Swirlaiconnect

Founded 2023

Search internal enterprise databases live and generate cited answers without copying data

You can use SWIRL to search across multiple enterprise systems simultaneously without copying or indexing data into a central repository. It queries connected applications like Microsoft 365, Jira, Salesforce, and databases live under each user's existing permissions. The system returns ranked results and direct answers with citations tracing back to original source documents. You can connect it to AI agents through the Model Context Protocol, integrate it with developer portals like Backstage, or embed zero-copy federated retrieval into your own software products.

What Swirlaiconnect does

Connect enterprise systems to federated search queriesRetrieve cited answers from multiple live data repositoriesQuery internal records through Model Context Protocol clientsConfigure user permission pass-through for search queriesEmbed search components directly into software applicationsPin approved documents into an isolated semantic cacheZero-copy architecture that queries source systems directly without duplicating dataLive query execution using the permissions of the signed-in userCitations linked directly to source documents for every generated answerModel Context Protocol support to connect internal data to AI agentsOut-of-the-box connectors for over 150 enterprise applications and databasesOpen source core licensed under Apache 2.0

Frequently asked

Microsoft 365Microsoft 365SalesforceSalesforceServiceNowServiceNowGithubGithubJiraJiraGoogle DriveGoogle DriveBigQueryBigQuerySnowflakeSnowflakePostgreSQLPostgreSQLMongoDBMongoDBBoxBoxOpenSearchOpenSearchGoogle WorkspaceGoogle WorkspaceiManageiManageOracleOracle

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SWIRL, federated search, zero-copy search, enterprise search, RAG, cited answers, Model Context Protocol, MCP, enterprise AI, permissioned search, document search, legal research, Azure Government, Backstage search, multi-source search