The foundation of secure, privacy-safe data innovation
The foundation of secure, privacy-safe data innovation
The foundation of secure, privacy-safe data innovation
CUBIG’s Data Non-Access Technology and differential privacy work together to guarantee complete protection of original data — no exposure, no compromise, full control.
CUBIG’s Data Non-Access Technology and differential privacy work together to guarantee complete protection of original data — no exposure, no compromise, full control.
CUBIG’s Data Non-Access Technology and differential privacy work together to guarantee complete protection of original data — no exposure, no compromise, full control.
Generate synthetic data safely — without touching the source
CUBIG’s AI creates candidate data which your original dataset then validates through a secure voting process. The original data remains untouched at every stage.
Generate synthetic data safely — without touching the source
CUBIG’s AI creates candidate data which your original dataset then validates through a secure voting process. The original data remains untouched at every stage.
Generate synthetic data safely — without touching the source
CUBIG’s AI creates candidate data which your original dataset then validates through a secure voting process. The original data remains untouched at every stage.
Candidate data generation
AI generates candidate data independently, without training on the original dataset.
Candidate data generation
AI generates candidate data independently, without training on the original dataset.
Candidate data generation
AI generates candidate data independently, without training on the original dataset.
Candidate data generation
AI generates candidate data independently, without training on the original dataset.
Candidate data generation
AI generates candidate data independently, without training on the original dataset.
Voting by original data
Secure voting allows the original dataset to select the best-fit synthetic candidate.
Voting by original data
Secure voting allows the original dataset to select the best-fit synthetic candidate.
Voting by original data
Secure voting allows the original dataset to select the best-fit synthetic candidate.
Voting by original data
Secure voting allows the original dataset to select the best-fit synthetic candidate.
Voting by original data
Secure voting allows the original dataset to select the best-fit synthetic candidate.
Regeneration based on feedback
DTS refines each dataset iteratively, regenerating synthetic data until performance precision is achieved.
Regeneration based on feedback
DTS refines each dataset iteratively, regenerating synthetic data until performance precision is achieved.
Regeneration based on feedback
DTS refines each dataset iteratively, regenerating synthetic data until performance precision is achieved.
Regeneration based on feedback
DTS refines each dataset iteratively, regenerating synthetic data until performance precision is achieved.
Regeneration based on feedback
DTS refines each dataset iteratively, regenerating synthetic data until performance precision is achieved.
Final secure synthetic data
The result is verified synthetic data — high-fidelity, compliant and fully privacy-protected.
Final secure synthetic data
The result is verified synthetic data — high-fidelity, compliant and fully privacy-protected.
Final secure synthetic data
The result is verified synthetic data — high-fidelity, compliant and fully privacy-protected.
Final secure synthetic data
The result is verified synthetic data — high-fidelity, compliant and fully privacy-protected.
Final secure synthetic data
The result is verified synthetic data — high-fidelity, compliant and fully privacy-protected.
Differential privacy that protects without performance loss
Applied at the generation stage, not during model training. This ensures privacy protection without degrading model performance.
Differential privacy that protects without performance loss
Applied at the generation stage, not during model training. This ensures privacy protection without degrading model performance.
Differential privacy that protects without performance loss
Applied at the generation stage, not during model training. This ensures privacy protection without degrading model performance.
Traditional differential privacy limitations
Traditional differential privacy limitations
Traditional differential privacy limitations
Traditional differential privacy limitations
- #1.#1.#1.
Reduced data utility
Reduced data utility
Reduced data utility
- #2.#2.#2.
Model performance degradation
Model performance degradation
Model performance degradation
CUBIG’s differential privacy advantages
CUBIG’s differential privacy advantages
CUBIG’s differential privacy advantages
CUBIG’s differential privacy advantages
- #1.#1.#1.
Applied during voting, never on the original model
Applied during voting, never on the original model
Applied during voting, never on the original model
- #2.#2.#2.
Maintains model integrity and data quality
Maintains model integrity and data quality
Maintains model integrity and data quality
Performance comparison
Performance comparison
Performance comparison
CUBIG technology
CUBIG technology
99% fidelity
99% fidelity
Conventional Approach
Conventional Approach
14%
Performance comparison
CUBIG technology
99% fidelity
Conventional Approach
14%
Data architecture
Data architecture
Data architecture
Engineered for precision and privacy
Next-generation data synthesis that is accurate, adaptable and secure
Next-generation data synthesis that is accurate, adaptable and secure
Next-generation data synthesis that is accurate, adaptable and secure
Accurate
High-performance synthetic data with no degradation of the original model. Zero risk, full reliability.
Accurate
High-performance synthetic data with no degradation of the original model. Zero risk, full reliability.
Accurate
High-performance synthetic data with no degradation of the original model. Zero risk, full reliability.
Accurate
High-performance synthetic data with no degradation of the original model. Zero risk, full reliability.
Accurate
High-performance synthetic data with no degradation of the original model. Zero risk, full reliability.
Adaptable
Smart data selection ensures maximum usability across analytics, testing and development environments.
Adaptable
Smart data selection ensures maximum usability across analytics, testing and development environments.
Adaptable
Smart data selection ensures maximum usability across analytics, testing and development environments.
Adaptable
Smart data selection ensures maximum usability across analytics, testing and development environments.
Adaptable
Smart data selection ensures maximum usability across analytics, testing and development environments.
Secure
Synthetic data customised for your needs through prompt-based automation — precise to your domain and dataset.
Secure
Synthetic data customised for your needs through prompt-based automation — precise to your domain and dataset.
Secure
Synthetic data customised for your needs through prompt-based automation — precise to your domain and dataset.
Secure
Synthetic data customised for your needs through prompt-based automation — precise to your domain and dataset.
Secure
Synthetic data customised for your needs through prompt-based automation — precise to your domain and dataset.
100% data protection — no exposure, no compromise
100% data protection — no exposure, no compromise
Experience next-generation data protection with CUBIG’s Data Non-Access Technology and differential privacy. Keep every dataset secure while generating high-quality synthetic data that performs like the real thing — without compromise.
Experience next-generation data protection with CUBIG’s Data Non-Access Technology and differential privacy. Keep every dataset secure while generating high-quality synthetic data that performs like the real thing — without compromise.
100% data protection — no exposure, no compromise
Experience next-generation data protection with CUBIG’s Data Non-Access Technology and differential privacy. Keep every dataset secure while generating high-quality synthetic data that performs like the real thing — without compromise.
Email : [email protected]
Email : [email protected]
Email : [email protected]
Business Registration Number : 133-81-45679
Business Registration Number :
133-81-45679
Business Registration Number : 133-81-45679
E-Commerce Registration : 2023-Seoul-Seocho-2822
E-Commerce Registration :
2023-Seoul-Seocho-2822
E-Commerce Registration : 2023-Seoul-Seocho-2822
4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
Product
Product
Product
Company
Company
Company
©️ 2025 CUBIG Corp. All rights Reserved.
©️ 2025 CUBIG Corp. All rights Reserved.