SWIRL AI Search
SWIRL AI Search provides federated search across enterprise systems, querying source systems as each signed-in user and applying permissions at the source.
What SWIRL AI Search is
SWIRL AI Search provides federated search across enterprise systems, querying source systems as each signed-in user and applying permissions at the source. The maker says it does not copy, index, or move source content; retrieved text is held only for the request. Ranking uses keyword/BM25, E5-Large-V2 embedding re-ranking with hybrid fusion, and an MS-MARCO cross-encoder. SWIRL can generate cited answers from retrieved sources and flag claims not supported by them. Its connector list includes more than 150 options, and it supports more than 100 LLMs, including on-prem models through Ollama and compatible frameworks. Enterprise provides a REST API and MCP server for agents to access ranked, permissioned, cited answers. Customers can deploy it on-prem, in a private VPC, or in a cloud tenant using Docker Compose or Kubernetes. Enterprise supports SSO through OAuth2/OpenID Connect. The separately licensed Semantic Cache is an exception to the no-vector-store approach, caching documents users have already retrieved with their credentials.
Good
- Searches source systems as the signed-in user.
- Provides answers with citations.
- Lists more than 150 connectors and supports over 100 LLMs.
- Offers on-prem, private VPC, and cloud-tenant deployment.
- Enterprise includes an MCP server and REST API.
Watch out
- Semantic Cache is separately licensed.
- Compliance obligations depend on customer-configured controls.
Who it suits
SWIRL is aimed at enterprises that cannot centralize their data and need search across separate systems. The maker identifies lawyers, analysts, and clinicians as examples of users who need grounded answers.
Verdict
SWIRL combines permission-aware federated search with cited answers and agent access. Its deployment options suit organizations with varied environments, while licensing and customer-managed compliance controls deserve attention.
Plans and prices
From SWIRL AI Search's own pricing page, checked 30 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Paid pilot | $12,000, paid once | Paid evaluation pilot · 60-90 days; 100% credited to first annual contract |
| Departmental | $24,000 a year | One business unit/workspace · core connector pack · SSO · MCP server + REST API · community & email support · per year · annual license |
| OEM & Source Code License | $60,000 a year | Annual platform fee · white-label · source-code option · on-prem deployment · dedicated OEM support · from $60K/year plus revenue share |
| Business | $72,000 a year | Multiple business units/workspaces · full 150+ connector library · business console · production agent/MCP access · standard SLA & priority support · per year · annual license |
| Enterprise | — | Unlimited business units · FedRAMP/air-gapped/gov-cloud option · on-prem or private-cloud deployment · premium SLA + named technical account manager · custom connectors · per year · custom scope |
The facts
Each one read from SWIRL AI Search's own pages, with the date it was checked.
What it does
- Agent access
- The Enterprise product exposes a REST API and first-class MCP server for agents to access the same ranked, permissioned, cited answers.checked 30 Sep 2026
- Answers
- SWIRL generates cited answers from retrieved sources and can flag claims that are not supported by the retrieved material.checked 30 Sep 2026
- Audience
- The maker positions SWIRL for enterprises that cannot centralize their data and identifies lawyers, analysts, and clinicians as examples of users relying on grounded AI answers.checked 30 Sep 2026
- Compliance
- The maker says customers configure SWIRL and their surrounding controls to meet their regulatory obligations; it offers configuration guidance and, under NDA, audit-support artifacts.checked 30 Sep 2026
- Connectors
- The maker lists more than 150 connectors, including Microsoft 365, Google Workspace, Salesforce, ServiceNow, GitHub, Confluence, Jira, Box, and databases.checked 30 Sep 2026
- Deployment
- SWIRL can run inside a customer's environment on-prem, in a private VPC, or in a cloud tenant, using Docker Compose or Kubernetes.checked 30 Sep 2026
- Limits
- The optional Semantic Cache is separately licensed and is the exception to the no-vector-store approach; its caching is based on documents users have already retrieved with their credentials.checked 30 Sep 2026
- LLMs
- SWIRL supports more than 100 LLMs, including OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, Mistral, and on-prem models through Ollama and compatible frameworks.checked 30 Sep 2026
- PII controls
- Enterprise can use Microsoft Presidio to detect and redact personal information, with redaction enabled per SearchProvider.checked 30 Sep 2026
- Product
- SWIRL provides federated AI search across enterprise systems, querying live as each signed-in user with permissions enforced at the source.checked 30 Sep 2026
- Ranking
- Its three-pass ranking uses keyword/BM25, E5-Large-V2 embedding re-ranking with hybrid fusion, and an MS-MARCO cross-encoder.checked 30 Sep 2026
- Security
- SWIRL Enterprise supports SSO through OAuth2/OpenID Connect, and the maker says source ACLs are preserved by passing through the user's identity.checked 30 Sep 2026
- Support
- Departmental includes community and email support, Business includes a standard SLA and priority support, and Enterprise includes a premium SLA and named technical account manager.checked 30 Sep 2026
- Zero-copy retrieval
- The maker says searches run against source systems without copying, indexing, or moving source content; retrieved text is held for the request duration.checked 30 Sep 2026
The company
- Founded
- 2024checked 28 Sep 2026
- Headquarters
- Waltham, Massachusetts, United Stateschecked 28 Sep 2026
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