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The AI-ready data platform for real AI execution, taking data from diagnosis to release and binding.

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LLM Capsule Context-preserving data layer for AI DTS AI-ready data transformation engine
LLM Capsule

Runner-up at T-Challenge 2026

LLM Capsule named runner-up in the Deutsche Telekom & T-Mobile US global innovation program.

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Building the missing layer for enterprise AI. CUBIG is building the operational data layer that helps enterprises turn sensitive, fragmented, and unusable data into AI-ready, operable data.

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Glossary

What is Data Sharing?

Data sharing refers to the practice of distributing and accessing data between individuals, organizations, or systems. It facilitates collaboration, research, and business insights while ensuring data security and compliance. Technologies such as APIs, cloud storage, and federated learning support secure data sharing across networks.

← Previous Data Security Law of the People’s Republic of China Next → Data simulation

Related Glossaries

  • Zero Data Exposure LLM Usage Zero Data Exposure LLM Usage refers to the use of external language models without sending raw sensitive data to the model provider. This is achieved by transforming, encapsulating, or reconstructing prompt context before transmission.
  • Data Quality Data quality measures how accurate, complete, consistent, and valid a dataset is for its intended use, and how it differs from AI-ready data.
  • Execution State Layer Execution State Layer refers to the operational layer that fixes data into a known state before it is used in AI execution. It connects release state, run binding, state comparison, and reproducibility to support more stable and explainable AI operations.
  • Data observability Data observability is how teams keep continuous watch over the health, quality, and behavior of data as it moves through pipelines.
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CUBIG LTD (United Kingdom)
Company Number: NI735459
21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA

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Business Registration: 133-81-45679
E-Commerce Registration: 2023-Seoul-Seocho-2822
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