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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 Generative AI?

Generative AI refers to AI systems capable of creating new content, such as text, images, music, and videos, based on learned patterns. It includes models like GPT for text generation and DALL·E for image synthesis, transforming content creation, design, and automation.

← Previous Functional data analysis Next → Generative art

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…
  • EU-US Data Privacy Framework The EU-US Data Privacy Framework is a new agreement replacing the invalidated Privacy Shield, establishing safeguards for transatlantic data transfers. It introduces stricter security measures, accountability mechanisms, and compliance requirements to align with GDPR and ensure better protection of personal…
  • AI Readiness Assessment An AI readiness assessment evaluates whether an organization's data, infrastructure, and processes can support production AI, and reports on the gaps. It typically scores areas like data quality and access, governance and compliance, technical infrastructure, and team capability.
  • Model Evaluation Model evaluation is the process of measuring how well an AI or machine learning model performs, using metrics, benchmarks, and test sets to judge whether it is fit to ship.
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Company Number: NI735459
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