The Global Leading Institution for Synthetic Data Validation

Delivering insightful reports with the safest approach to synthetic data validation

Validate Synthetic Data Without Touching Original Data

Zero Original Data Access

Validate with CUBIG’s data Non Access Tech No risk of original data exposure.

Zero Original Data Access

Validate with CUBIG’s data Non Access Tech No risk of original data exposure.

Zero Original Data Access

Validate with CUBIG’s data Non Access Tech No risk of original data exposure.

The Only Certified Synthetic Data Validation Agency in Korea

The only institution in Korea authorized to validate compliance with PIPC (Personal Information Protection Commission) guidelines

Receive your validation report

within a

1-day

Validation Report

Receive your validation report in as little as 1 hour! or within a day!

Validation Report

Receive your validation report in as little as 1 hour! or within a day!

Validation Report

Receive your validation report in as little as 1 hour! or within a day!

Zero Original Data Access

Validate with CUBIG’s data Non Access Tech No risk of original data exposure.

The Only Certified Synthetic Data Validation Agency in Korea

The only institution in Korea authorized to validate compliance with PIPC (Personal Information Protection Commission) guidelines

Receive your validation report

within a

1-day

Validation Report

Receive your validation report in as little as 1 hour! or within a day!

Zero Original Data Access

Validate with CUBIG’s data Non Access Tech No risk of original data exposure.

The Only Certified Synthetic Data Validation Agency in Korea

The only institution in Korea authorized to validate compliance with PIPC (Personal Information Protection Commission) guidelines

Receive your validation report

within a

1-day

Validation Report

Receive your validation report in as little as 1 hour! or within a day!

Zero Original Data Access

Validate with CUBIG’s data Non Access Tech No risk of original data exposure.

The Only Certified Synthetic Data Validation Agency in Korea

The only institution in Korea authorized to validate compliance with PIPC (Personal Information Protection Commission) guidelines

Receive your validation report

within a

1-day

Validation Report

Receive your validation report in as little as 1 hour! or within a day!

Insightful Premium Reports

01. Downstream The Definitive Test for AI-Ready Synthetic Data

Measure your data’s real-world impact on AI performance through key downstream metrics.

Performance Metrics

#1.

Accuracy: Measures overall correctness of predictions

#2.

Recall: Identifies how well true positives are captured

#3.

Precision: Ensures reliability of positive predictions

#4.

F1 Scrore: Balances precision & recall for a fair assessment

#5.

Confidence: Evaluates certainty in model predictions

01. Downstream The Definitive Test for AI-Ready Synthetic Data

Measure your data’s real-world impact on AI performance through key downstream metrics.

Cost-Effciency Lists

#1.

Accuracy: Measures overall correctness of predictions

#2.

Recall: Identifies how well true positives are captured

#3.

Precision: Ensures reliability of positive predictions

#4.

F1 Scrore: Balances precision & recall for a fair assessment

#5.

Confidence: Evaluates certainty in model predictions

01. Downstream The Definitive Test for AI-Ready Synthetic Data

Measure your data’s real-world impact on AI performance through key downstream metrics.

Cost-Effciency Lists

#1.

Accuracy: Measures overall correctness of predictions

#2.

Recall: Identifies how well true positives are captured

#3.

Precision: Ensures reliability of positive predictions

#4.

F1 Scrore: Balances precision & recall for a fair assessment

#5.

Confidence: Evaluates certainty in model predictions

01. Downstream The Definitive Test for AI-Ready Synthetic Data

Measure your data’s real-world impact on AI performance through key downstream metrics.

Performance Metrics

#1.

Accuracy: Measures overall correctness of predictions

#2.

Recall: Identifies how well true positives are captured

#3.

Precision: Ensures reliability of positive predictions

#4.

F1 Scrore: Balances precision & recall for a fair assessment

#5.

Confidence: Evaluates certainty in model predictions

01. Downstream The Definitive Test for AI-Ready Synthetic Data

Measure your data’s real-world impact on AI performance through key downstream metrics.

Cost-Effciency Lists

#1.

Accuracy: Measures overall correctness of predictions

#2.

Recall: Identifies how well true positives are captured

#3.

Precision: Ensures reliability of positive predictions

#4.

F1 Scrore: Balances precision & recall for a fair assessment

#5.

Confidence: Evaluates certainty in model predictions

01. Downstream The Definitive Test for AI-Ready Synthetic Data

Measure your data’s real-world impact on AI performance through key downstream metrics.

Performance Metrics

#1.

Accuracy: Measures overall correctness of predictions

#2.

Recall: Identifies how well true positives are captured

#3.

Precision: Ensures reliability of positive predictions

#4.

F1 Scrore: Balances precision & recall for a fair assessment

#5.

Confidence: Evaluates certainty in model predictions

02. Privacy Performance Ensuring Structural Integrity and Perceptual Consistency

Evaluate whether synthetic data maintains its original structure and human-perceived quality through privacy performance metrics.

Privacy Performance

#1.

Structure: Maintains data format, schema, and relationships

#2.

Perceptual: Preserves human-recognizable patterns & dists

02. Privacy Performance Ensuring Structural Integrity and Perceptual Consistency

Evaluate whether synthetic data maintains its original structure and human-perceived quality through privacy performance metrics.

Cost-Effciency Lists

#1.

Structure: Maintains data format, schema, and relationships

#2.

Perceptual: Preserves human-recognizable patterns & dists

02. Privacy Performance Ensuring Structural Integrity and Perceptual Consistency

Evaluate whether synthetic data maintains its original structure and human-perceived quality through privacy performance metrics.

Cost-Effciency Lists

#1.

Structure: Maintains data format, schema, and relationships

#2.

Perceptual: Preserves human-recognizable patterns & dists

02. Privacy Performance Ensuring Structural Integrity and Perceptual Consistency

Evaluate whether synthetic data maintains its original structure and human-perceived quality through privacy performance metrics.

Privacy Performance

#1.

Structure: Maintains data format, schema, and relationships

#2.

Perceptual: Preserves human-recognizable patterns & dists

02. Privacy Performance Ensuring Structural Integrity and Perceptual Consistency

Evaluate whether synthetic data maintains its original structure and human-perceived quality through privacy performance metrics.

Cost-Effciency Lists

#1.

Structure: Maintains data format, schema, and relationships

#2.

Perceptual: Preserves human-recognizable patterns & dists

02. Privacy Performance Ensuring Structural Integrity and Perceptual Consistency

Evaluate whether synthetic data maintains its original structure and human-perceived quality through privacy performance metrics.

Privacy Performance

#1.

Structure: Maintains data format, schema, and relationships

#2.

Perceptual: Preserves human-recognizable patterns & dists

03. Utility Performance Validating the Real-World Usability of Synthetic Data

Assess how well synthetic data supports real-world analysis, maintains statistical distributions, and aids AI-driven decision-making.

Utility Performance

#1.

Diversity: Maintains the variety of real data

#2.

Quality: Ensures statistical similarity to original data

#3.

Indistinguishability: Real-data-like authenticity

03. Utility Performance Validating the Real-World Usability of Synthetic Data

Assess how well synthetic data supports real-world analysis, maintains statistical distributions, and aids AI-driven decision-making.

Cost-Effciency Lists

#1.

Diversity: Maintains the variety of real data

#2.

Quality: Ensures statistical similarity to original data

#3.

Indistinguishability: Real-data-like authenticity

03. Utility Performance Validating the Real-World Usability of Synthetic Data

Assess how well synthetic data supports real-world analysis, maintains statistical distributions, and aids AI-driven decision-making.

Cost-Effciency Lists

#1.

Diversity: Maintains the variety of real data

#2.

Quality: Ensures statistical similarity to original data

#3.

Indistinguishability: Real-data-like authenticity

03. Utility Performance Validating the Real-World Usability of Synthetic Data

Assess how well synthetic data supports real-world analysis, maintains statistical distributions, and aids AI-driven decision-making.

Utility Performance

#1.

Diversity: Maintains the variety of real data

#2.

Quality: Ensures statistical similarity to original data

#3.

Indistinguishability: Real-data-like authenticity

03. Utility Performance Validating the Real-World Usability of Synthetic Data

Assess how well synthetic data supports real-world analysis, maintains statistical distributions, and aids AI-driven decision-making.

Cost-Effciency Lists

#1.

Diversity: Maintains the variety of real data

#2.

Quality: Ensures statistical similarity to original data

#3.

Indistinguishability: Real-data-like authenticity

03. Utility Performance Validating the Real-World Usability of Synthetic Data

Assess how well synthetic data supports real-world analysis, maintains statistical distributions, and aids AI-driven decision-making.

Utility Performance

#1.

Diversity: Maintains the variety of real data

#2.

Quality: Ensures statistical similarity to original data

#3.

Indistinguishability: Real-data-like authenticity

The First and Only Institution Validating Synthetic Data Without Originals

#1.

#1.

#1.

#1.

Data Non Access Tech

Only Cubig leads with this proprietary innovation among synthetic data companies

#2.

#2.

#2.

#2.

The Most Reliable Way

Assess data quality with detailed scoring on safety, usability, and more

#3.

#3.

#3.

#3.

With AI Security Leaders

Pioneered by CEO who wrote the first AI security paper in the world

Trustworthy Data Starts Here Get Verified with SYNDATA

Safe, simple, and exclusive entrust your synthetic data to CUBIG.

Trustworthy Data Starts Here Get Verified with SYNDATA

Safe, simple, and exclusive entrust your synthetic data to CUBIG.

Trustworthy Data Starts Here Get Verified with SYNDATA

Safe, simple, and exclusive entrust your synthetic data to CUBIG.

Trustworthy Data Starts Here Get Verified with SYNDATA

Safe, simple, and exclusive entrust your synthetic data to CUBIG.

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

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