Syntitan

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Syntitan is an AI-ready data platform that makes enterprise data runnable for AI and ties every AI run to a reproducible Release State. Syntitan is an AI-ready data platform for teams running AI and LLMs in production. When production AI breaks, the data is usually why. The model checks out fine, but the data shifted under it, and by the time the output looks wrong, no one can say what changed or when. Syntitan works on two fronts to fix that. It first checks whether your data is ready for AI, scoring it on quality, completeness, balance, context, and lineage. Then it cleans up the broken parts and standardizes them into a state a model can use. Anything sensitive is dealt with at the boundary first, before it reaches the platform. Once data passes, Syntitan seals it as a Release State: a fixed version that can't change once it's signed off. Every run points back to that exact release. When results drift, you line up two versions, see what moved, and roll back to a data state that worked. Syntitan sits on top of the data stack you already run, so there's no rip-and-replace. It covers the gap between where your data lives and where your AI runs, and keeps production AI traceable instead of a black box you re-debug every week.

LLM Capsule

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LLM Capsule lets enterprises run LLM, RAG, and AI agent workflows on real business documents without losing the context models need. It preserves document structure, replaces business-specific content with structure-matched stand-ins before model execution, and reconstructs outputs with original business context. No manual rework.

DTS

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Generate privacy-safe synthetic data across text, tabular, and image data with differential privacy, without exposing original customer records. CUBIG DTS helps regulated teams augment scarce data, correct class imbalance, replace missing values, and improve AI training