“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.”
“AI-Ready Data Platform that prepares and validates enterprise data for AI work. Ready for Raw Data diagnoses data on six axes, Ready for Model checks agreed criteria under the same model and evaluation conditions, and Ready for Agent turns work materials into tasks and cases for checking an agent.”
“Data Enablement for AI. DTS fills missing cases and rebalances skewed distributions so scarce, restricted, or regulated data fits the AI task. Available on its own or inside Syntitan.”
“Context-preserving data layer for AI that lets LLM, RAG, and agent workflows run on operational data that cannot move raw, then restores the original names, codes, and values in the results inside your environment.”
“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.”
“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.”
“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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