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SWIRL AI Connect
SWIRL is zero-copy AI search. It searches every system a company already runs - Microsoft 365, SharePoint, Google Workspace, Salesforce, ServiceNow, Confluence, Jira, Snowflake, GitHub, iManage, Box, existing search indexes, databases, internal APIs and the web - live, in parallel, as the signed-in user. Nothing is copied. There is no index of the customer's content and no mirror of the customer's permissions: each source enforces its own access control at the moment of the query. SWIRL then re-
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T10:27:55.662Z. Cached copy · Source on swirlaiconnect.com
# SWIRL AI Connect
> SWIRL is zero-copy AI search. It searches every system a company already runs - Microsoft 365, SharePoint, Google Workspace, Salesforce, ServiceNow, Confluence, Jira, Snowflake, GitHub, iManage, Box, existing search indexes, databases, internal APIs and the web - live, in parallel, as the signed-in user. Nothing is copied. There is no index of the customer's content and no mirror of the customer's permissions: each source enforces its own access control at the moment of the query. SWIRL then re-scores the results on one scale, groups the versions it finds, elects the one the organization approved, and writes a cited answer from it. SWIRL is offered as open-source Community Edition (Apache 2.0), SWIRL Enterprise (self-hosted or private cloud), and OEM / source-code licensing for product builders.
The commercial consequence of copying nothing: there is nothing new to bring into audit scope, no second copy of the data with its own residency, nothing extra to purge when a deletion or retention obligation lands, and no central store of everything the company knows for an attacker to take. The audience this matters most to is compliance-sensitive enterprises - legal, financial services, healthcare, government - that cannot centralize their data.
SWIRL was created and open-sourced by Sid Probstein in 2023 and is developed by SWIRL Corporation, headquartered in Greater Boston. Retrieval is live rather than index-based: candidates come back from each source, then are re-ranked locally in three passes (keyword and BM25, E5-Large-V2 embeddings with hybrid RRF fusion, then an MS-MARCO cross-encoder), and an answer is generated with traceable citations using the LLM of the customer's choice, including a fully on-prem model. Because retrieval is live, standing up a vector database is not a precondition for search; the optional Semantic Cache module does use a vector store, for meaning-based recall of documents users have already retrieved with their own credentials.
SWIRL 5 is API-first with a first-class MCP server, so any agent - Claude, Copilot, ChatGPT or a custom agent - calls SWIRL and gets the same ranked, permissioned, cited answers a person gets, under the same rules. SWIRL Enterprise also includes its own assistant, which answers questions over federated results and cites the governing document; customers can use SWIRL's assistant, the agent they already run, or both. The Galaxy UI ships with SWIRL and can be white-labeled.
This site (swirlaiconnect.com) is the SWIRL marketing site. Product documentation lives at https://docs.swirlaiconnect.com (llms.txt: https://docs.swirlaiconnect.com/llms.txt). The legal-AI vertical site is https://swirllegal.com (llms.txt: https://swirllegal.com/llms.txt).
## What SWIRL 5 does
- Searches every connected system at once, live and in place, with no ETL and no ingestion pipeline.
- Enforces permissions at the source: SSO over OAuth2 and OpenID Connect signs the user in, and per-source OAut
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