Your M-Files content is powerful — but it becomes a ‘Super Power’ when connected securely to everything else your teams rely on.
Most organizations depend on M-Files to keep their knowledge structured, searchable, and secure. But as firms grow, so do their repositories — SharePoint, shared drives, CRMs, ticketing systems, databases, archives.
The result? Time lost hunting for information that you know is ‘somewhere’ in your systems.
That’s why SWIRL now integrates natively with M-Files.
With SWIRL, enterprises can search and retrieve across M-Files and every other internal source — without moving, copying, re-indexing or re-permissioning a single file.
The Challenge: Fragmented Knowledge Across Repositories
Modern firms don’t suffer from a lack of data — they suffer from its distribution.
Critical contracts, client deliverables, policies, and correspondence live in many different systems, each with its own metadata, permissions, and access models.
Connecting those systems usually means ETL pipelines, duplicative indexing, and security risk.
SWIRL changes that.
By federating search, SWIRL makes your data discoverable across all systems in real time — including M-Files — without breaking your security model.
The SWIRL + M-Files Advantage
- Unified, secure search
Run a single query that spans M-Files, Microsoft 365, Google Workspace, Salesforce, shared folders, wikis, tickets, and databases — and receive a unified, relevance-ranked set of results.
- Permission passthrough at query time
SWIRL respects M-Files ACLs, RBAC, and ABAC models automatically.
If a user can’t open it in M-Files, they won’t see it in SWIRL — nor will any AI agent acting on their behalf.
- Metadata-aware retrieval
SWIRL understands M-Files classes and properties like Customer, Contract Type, and Effective Date.
That means you can ask intentful questions like:
“Show me the final SOW for Burlington Textiles signed in Q3.” and get instant, governed results… no tagging marathons, no schema rebuilds.
- Explainable AI, not black-box guesses
Hybrid ranking (BM25 + semantic similarity + freshness) ensures top results are relevant and traceable, not just statistically close.
- Ready for your AI agents
Ground any LLM or workflow with governed content and citations from M-Files and other systems, without building or maintaining a vector database.
Compliance Without Compromise
Whether you work in legal, finance, life sciences, or government, your data stays where it belongs: Inside your perimeter and under your control.
SWIRL runs locally, routes queries securely, and keeps content off external services. It even works in disconnected or air-gapped environments.
Ready to Get Started