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Syntitan AI-ready data platform
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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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CUBIG perspectives and practical insights on AI, AI-Ready data, and enterprise transformation.

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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 FAIR data?

FAIR data is a set of principles ensuring that data is Findable, Accessible, Interoperable, and Reusable. These guidelines promote responsible data management in research, industry, and government, facilitating collaboration, transparency, and innovation in data-driven fields.

← Previous External Data Representation Next → Fairness (machine learning)

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  • Privacy Act The Privacy Act is a data protection law that regulates how personal information is collected, used, and disclosed by public and private entities. Countries like the United States and Australia have their own Privacy Acts, which grant individuals rights over…
  • Automation Automation is the use of technology to perform tasks with minimal human intervention. It ranges from simple rule-based automation to advanced AI-driven systems capable of learning and decision-making. Automation is widely applied in manufacturing, IT operations, business processes, and customer…
  • Model Versioning Model versioning is the practice of assigning distinct identifiers to iterations of a machine learning model so teams can track, compare, and retrieve specific model artifacts.
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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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