A Trusted Validator for Synthetic Data Quality-Without Accessing Original Data

A Trusted Validator for Synthetic Data Quality-Without Accessing Original Data

A Trusted Validator for Synthetic Data Quality-Without Accessing Original Data

A Trusted Validator for Synthetic Data Quality-Without Accessing Original Data

Delivering insightful reports with the safest approach to synthetic data validation

Delivering insightful reports with the safest approach to synthetic data validation

Delivering insightful reports with the safest approach to synthetic data validation

Delivering insightful reports with the safest approach to synthetic data validation

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CUBIG verifies synthetic data accuracy and structure without accessing original data, using similarity checks and reliability scoring.
Card Background Image
CUBIG verifies synthetic data accuracy and structure without accessing original data, using similarity checks and reliability scoring.
Card Background Image
CUBIG verifies synthetic data accuracy and structure without accessing original data, using similarity checks and reliability scoring.
Card Background Image
CUBIG verifies synthetic data accuracy and structure without accessing original data, using similarity checks and reliability scoring.
Card Background Image
CUBIG verifies synthetic data accuracy and structure without accessing original data, using similarity checks and reliability scoring.
Card Background Image
CUBIG verifies synthetic data accuracy and structure without accessing original data, using similarity checks and reliability scoring.

Validate Synthetic Data Without Touching Original Data

Validate Synthetic Data Without Touching Original Data

Validate Synthetic Data Without Touching Original Data

Validate Synthetic Data Without Touching Original Data

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Zero Original Data Access

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

CUBIG validates synthetic data accuracy without accessing any personally identifiable or sensitive original data, ensuring complete privacy.
Card Background Image

Zero Original Data Access

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

CUBIG validates synthetic data accuracy without accessing any personally identifiable or sensitive original data, ensuring complete privacy.
Card Background Image

Zero Original Data Access

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

CUBIG validates synthetic data accuracy without accessing any personally identifiable or sensitive original data, ensuring complete privacy.

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

KORAIA Logo Image
KORAIA Logo Image

Receive your validation report

within a

1-day

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Validation Report

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

Validation report sample showing structured synthetic data details, delivered within 1 hour or by the next day.
Card Background Image

Validation Report

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

Validation report sample showing structured synthetic data details, delivered within 1 hour or by the next day.
Card Background Image

Validation Report

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

Validation report sample showing structured synthetic data details, delivered within 1 hour or by the next day.
Card Background Image

Zero Original Data Access

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

CUBIG validates synthetic data accuracy without accessing any personally identifiable or sensitive original data, ensuring complete privacy.

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

KORAIA Logo Image

Receive your validation report

within a

1-day

Card Background Image

Validation Report

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

Validation report sample showing structured synthetic data details, delivered within 1 hour or by the next day.
Card Background Image

Zero Original Data Access

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

CUBIG validates synthetic data accuracy without accessing any personally identifiable or sensitive original data, ensuring complete privacy.

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

KORAIA Logo Image

Receive your validation report

within a

1-day

Card Background Image

Validation Report

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

Validation report sample showing structured synthetic data details, delivered within 1 hour or by the next day.
Card Background Image

Zero Original Data Access

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

CUBIG validates synthetic data accuracy without accessing any personally identifiable or sensitive original data, ensuring complete privacy.

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

KORAIA Logo Image

Receive your validation report

within a

1-day

Card Background Image

Validation Report

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

Validation report sample showing structured synthetic data details, delivered within 1 hour or by the next day.

Premium Reports for Synthetic Data Validation

Premium Reports for Synthetic Data Validation

Premium Reports for Synthetic Data Validation

Premium Reports for Synthetic Data Validation

01.

Downstream The Definitive Test for AI-Ready Synthetic Data

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

Validation results across key metrics-accuracy, recall, precision, F1 score, and confidence-confirm the synthetic dataset’s readiness for real-world AI use.

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.

Validation results across key metrics-accuracy, recall, precision, F1 score, and confidence-confirm the synthetic dataset’s readiness for real-world AI use.

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.

Validation results across key metrics-accuracy, recall, precision, F1 score, and confidence-confirm the synthetic dataset’s readiness for real-world AI use.

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.

Validation results across key metrics-accuracy, recall, precision, F1 score, and confidence-confirm the synthetic dataset’s readiness for real-world AI use.

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.

Validation results across key metrics-accuracy, recall, precision, F1 score, and confidence-confirm the synthetic dataset’s readiness for real-world AI use.

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.

Validation results across key metrics-accuracy, recall, precision, F1 score, and confidence-confirm the synthetic dataset’s readiness for real-world AI use.

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.

Structure integrity and perceptual consistency metrics confirm the synthetic data retains its original structure and human-recognizable patterns, with both results safely within the high-performance range.

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

Synthetic data that looks, feels, and performs like the real. Mirrors the performance, distribution, and patterns of your data.

Structure integrity and perceptual consistency metrics confirm the synthetic data retains its original structure and human-recognizable patterns, with both results safely within the high-performance range.

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

Synthetic data that looks, feels, and performs like the real. Mirrors the performance, distribution, and patterns of your data.

Structure integrity and perceptual consistency metrics confirm the synthetic data retains its original structure and human-recognizable patterns, with both results safely within the high-performance range.

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.

Structure integrity and perceptual consistency metrics confirm the synthetic data retains its original structure and human-recognizable patterns, with both results safely within the high-performance range.

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

Synthetic data that looks, feels, and performs like the real. Mirrors the performance, distribution, and patterns of your data.

Structure integrity and perceptual consistency metrics confirm the synthetic data retains its original structure and human-recognizable patterns, with both results safely within the high-performance range.

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.

Structure integrity and perceptual consistency metrics confirm the synthetic data retains its original structure and human-recognizable patterns, with both results safely within the high-performance range.

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.

All utility metrics-diversity, quality, and indistinguishability-meet high-performance benchmarks, confirming the dataset’s reliability for real-world applications.

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.

All utility metrics-diversity, quality, and indistinguishability-meet high-performance benchmarks, confirming the dataset’s reliability for real-world applications.

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.

All utility metrics-diversity, quality, and indistinguishability-meet high-performance benchmarks, confirming the dataset’s reliability for real-world applications.

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.

All utility metrics-diversity, quality, and indistinguishability-meet high-performance benchmarks, confirming the dataset’s reliability for real-world applications.

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.

All utility metrics-diversity, quality, and indistinguishability-meet high-performance benchmarks, confirming the dataset’s reliability for real-world applications.

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.

All utility metrics-diversity, quality, and indistinguishability-meet high-performance benchmarks, confirming the dataset’s reliability for real-world applications.

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

The First and Only Institution Validating Synthetic Data Without Originals

The First and Only Institution Validating Synthetic Data Without Originals

The First and Only Institution Validating Synthetic Data Without Originals

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SYNDATA Feature Cover Image
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#1.
#1.
#1.
#1.

Data Non Access Tech

Data Non Access Tech

Data Non Access Tech

Data Non Access Tech

Only Cubig leads with this proprietary innovation among synthetic data companies

Only Cubig leads with this proprietary innovation among synthetic data companies

Only Cubig leads with this proprietary innovation among synthetic data companies

Only Cubig leads with this proprietary innovation among synthetic data companies

#2.
#2.
#2.
#2.

The Most Reliable Way

The Most Reliable Way

The Most Reliable Way

The Most Reliable Way

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

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

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

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

#3.
#3.
#3.
#3.

With AI Security Leaders

With AI Security Leaders

With AI Security Leaders

With AI Security Leaders

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

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

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

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.

Business Registration Number : 133-81-45679

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

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

4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea

©️ 2025 CUBIG Corp. All rights Reserved.

©️ 2025 CUBIG Corp. All rights Reserved.