[LLM Capsule] Context-Preserving Data Layer for AI

LLM Capsule is a context-preserving data layer between your enterprise documents and AI models. It applies structure-aware substitution that keeps tables, lists, hierarchies, and entity relationships intact throughout processing. It goes beyond names and numbers: trade terms, internal metrics, project codenames, org structure, deal conditions are all recognized and handled. You define which business context matters, not a fixed ruleset. The process works in three steps. Entities are substituted while full document structure is preserved. The processed document goes to your LLM, RAG pipeline, or AI agent for execution. Then AI output maps back to original business context automatically, ready for your team without manual rework. All processing runs locally within a lightweight container. No external database or APIs required. Used across finance, healthcare, legal, manufacturing, and public sector on contracts, financial reports, customer logs, internal reports, and operational tickets.