Overview / Description
CordonData addresses a specific and underappreciated risk: standard RAG pipelines index everything and ignore your existing Access Control Lists, meaning an employee could query an LLM and surface confidential documents they were never meant to access. CordonData fixes this by building permission enforcement directly into the retrieval layer — the engine checks ACLs before surfacing any chunk of content, so the LLM can only generate answers from documents the user already has rights to view. Content is extracted and stored as clean Markdown, which cuts down on data duplication without losing structure. Hybrid retrieval combines keyword and semantic search for accuracy, and every query is logged for compliance auditing. The whole stack deploys on-premise or air-gapped, making it viable for legal, finance, healthcare, and government environments where data cannot leave the network. If your organization has sensitive internal knowledge bases and needs AI-powered search without opening a compliance liability, CordonData is built specifically for that constraint.
Used For
AI tool for search engines workflows
Pricing
Pricing not published
Pricing not published — contact CordonData for enterprise details
Pros & Cons
Pros
• Enforces document-level ACL permissions at the retrieval layer — not just at the query layer • Hybrid keyword plus semantic search for more accurate results than either alone • Deploys on-premise or air-gapped for legal, finance, healthcare, and government environments • Content stored as clean Markdown — reduces duplication without losing structure • Full query logging for compliance auditing
Cons
• On-premise only — no hosted SaaS option for organizations without their own infrastructure • Higher implementation complexity than standard cloud RAG solutions • Pricing and support model not publicly disclosed
Questions & Answers
Alternatives
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