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The AI-ready data platform that prepares and checks data for the AI work you chose.

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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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Gartner 2026

Recognized in two 2026 Gartner Agentic AI reports

CUBIG's AI-Ready Data Operating Layer cited as a Tech Innovator in Gartner's 2026 report on Agentic AI solution accelerators.

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Building the missing layer for enterprise AI. CUBIG builds the AI-Ready Data Operating Layer that turns sensitive, fragmented, and unusable data into AI-Ready, operable data.

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Glossary

What is Test data?

Test data refers to datasets used to evaluate the performance and accuracy of machine learning models. It is separate from training data and ensures that AI systems generalize well to new, unseen data.

← Previous Tabular Data Next → Text Mining

Related Glossaries

  • LLM (Large Language Model) LLM (Large Language Model) is an advanced deep learning AI model trained on vast amounts of text data to understand and generate human-like text. LLMs, such as GPT and BERT, are widely used in chatbots, content creation, search engines, and…
  • Algorithmic bias Algorithmic bias occurs when an AI system produces prejudiced results due to biased training data or flawed algorithms. This can lead to unfair outcomes in decision-making processes, such as hiring or lending, necessitating fairness and bias mitigation techniques in AI…
  • Shadow AI Shadow AI is the use of AI tools inside an organization without the knowledge or approval of IT, security, or data governance.
  • Verifiable Data State A verifiable data state is a fixed, documented version of a dataset whose readiness for AI can be checked and proven, so any AI run using it can be traced, reproduced, and compared.
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CUBIG LTD (United Kingdom)
Company Number: NI735459
21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA

CUBIG CORP (Republic of Korea)
Business Registration: 133-81-45679
E-Commerce Registration: 2023-Seoul-Seocho-2822
4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
Tel +82-2-582-1113 · Email [email protected]

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