CUBIG DTS enables government agencies to safely convert sensitive public data into AI-ready synthetic datasets that meet security, compliance, and analytical requirements.

CUBIG’s SynTitan enables privacy-safe AI by generating high-quality synthetic data without exposing sensitive information, attracting strong interest from global enterprises and UK venture capital.

CUBIG’s DTS enables secure synthetic data generation for high-risk public datasets, helping government agencies safely open and utilize data without exposing sensitive information

CUBIG has been selected for the 2025 AI Collabo Open Ground program, partnering with DB Insurance to advance secure large-scale data anonymization and GPT utilization through LLM Capsule.

CUBIG delivers next-generation synthetic data technologies that enable high-performance AI without accessing sensitive information, driving innovation across finance, healthcare, public services, and defense.

CUBIG is advancing secure synthetic data technologies from its Seoul headquarters and Jeju branch, enabling safe, high-quality data use across finance, healthcare, defense, and other regulated industries.

CUBIG attended the KDB NextONE Business Meet-up in Tokyo to explore how synthetic data enables safe and practical AI adoption within Japan’s strict privacy regulations.

In an interview with The Economist Korea, CUBIG CEO Ho Bae discusses how secure synthetic data can protect citizens’ data while driving global AI innovation

CUBIG participated in a National Assembly roundtable to address regulatory challenges and advocate for clearer policies on synthetic data adoption

CUBIG raises Series A funding from Iona Star LP and Friend Investment Partners, surpassing KRW 9B and advancing global expansion into Europe and North America

CUBIG launches LLM Capsule, an AI security filter that protects sensitive data while enabling safe and efficient enterprise adoption of large language models

CUBIG raises Series A funding, surpassing KRW 9B in total investment, to accelerate global expansion and strengthen its synthetic data ecosystem