Skip to content
CUBIG
Platform
Capabilities
Proof
Learn
Company
English
English 한국어
Contact Run a sample proof
Syntitan AI-Ready Data Platform
Platform

Syntitan

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

Explore →
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.

Read the news →
Proof See the real results and evidence
Gartner 2026

Recognized in two 2026 Gartner Agentic AI reports

CUBIG's AI-ready data operating layer cited as a Tech Innovator for closing the data-readiness gap behind failed AI agents.

Read the news →
Learn Hub Start here Blog In-depth perspectives Articles Practical guides and insights Glossary Key terms in AI-ready data
Learn

AI Insights

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

About Our mission and team News Press releases and updates
CEO

Ho Bae

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.

Contact Run a sample proof
Platform Syntitan
Capabilities LLM Capsule DTS
Proof
Learn Learn Hub Blog Articles Glossary
Company About News
Glossary

What is Automated machine learning?

AutoML refers to the process of automating the selection, training, and tuning of machine learning models. It enables users, including those without extensive expertise, to build AI models efficiently by automating tasks like feature selection, hyperparameter tuning, and model evaluation.

← Previous Auto Augmentation Next → Automation

Related Glossaries

  • Reproducible AI Execution Reproducible AI Execution refers to the ability to run an AI workflow again under the same data state and execution conditions. The goal is not simple repetition of outputs, but the ability to restore and explain the state and conditions…
  • Statistical Fidelity (distribution preservation) Statistical Fidelity, or distribution preservation, refers to how well transformed or synthetic data retains the statistical characteristics of the original data. It measures whether important distributions, relationships, and patterns remain sufficiently preserved for analysis and execution.
  • Knowledge Graph A knowledge graph is a network representation of facts where entities become nodes and relationships become edges, letting systems answer connection-based questions and ground AI outputs.
  • Execution Environment Drift Execution Environment Drift refers to a change in AI behavior caused by changes in the runtime environment. It can result from updates to infrastructure, dependencies, APIs, retrieval layers, or system configuration.
CUBIG

Platform

  • Syntitan

Capabilities

  • LLM Capsule
  • DTS

Proof & Learn

  • Proof
  • Learn Hub
  • Blog
  • Articles
  • Glossary

Company

  • About
  • News

Connect

  • Contact
  • LinkedIn
  • Medium
  • YouTube
  • Instagram
  • Naver Blog
  • X (Twitter)

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]

©️ 2026 CUBIG Corp. All Rights Reserved.
Cookie Policy Privacy Policy
Gartner does not endorse any vendor, product or service depicted in its research publications. GARTNER is a registered trademark of Gartner, Inc. and/or its affiliates.