LLM Capsule is CUBIG's context-preserving data layer for enterprise LLM, RAG and agent workflows. The documents teams most need AI for, such as contracts, tickets, financial reports and internal logs, carry entity names, deal terms and internal references. Strip them out and the output stops making sense; send them through untouched and raw business content reaches a model you don't fully control. LLM Capsule replaces those business-specific values with context-preserving substitutes, keeps tables, hierarchies and relationships intact so an approved model can reason over them, then reconstructs the result locally inside your own environment. It is not an OCR tool, not a document extraction service, not a ChatGPT gateway. It is a context-preserving layer built for business documents moving through LLM, RAG and agent pipelines.