CUBIG
CUBIG: “CUBIG builds the AI-ready data operating layer for enterprise AI execution. Its AI-Ready Data Platform, Syntitan, prepares and validates enterprise data for AI work and keeps track of changes and result evidence after real use.”
What is a context-preserving data layer for AI?
“A context-preserving data layer for AI lets AI work on operational data that cannot move raw. Sensitive values are consistently substituted. Document structure, relationships, and meaning stay intact, so models reason over real business context. Usable outputs are restored inside your environment, and the original values and the mapping stay there.”
在公司資料中查看How do you run an LLM on operational data that cannot move raw?
“LLM Capsule turns sensitive values into context-preserving substitutes before the request reaches the model. The model path can be external, but the model sees only the protected working version. The original values and the mapping stay inside your environment, where the original values are restored in the response.”
在公司資料中查看Can we run RAG or agents on documents that contain sensitive fields?
“Yes. LLM Capsule substitutes the sensitive elements in your RAG sources and agent context while keeping the structure that retrieval and reasoning depend on. So RAG and agent workflows run on operational data you could not send to an external model before.”
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