RealDataEcho safely synthesizes sensitive data from the public sector, finance, and enterprises while preserving business rules. The generated data can be used as-is for AI training, analytics, testing, and service development.
| Record ID | Type | Category | Risk | Updated |
|---|---|---|---|---|
| REC-0001 | Individual | Consumer | Low | 2024-05-20 |
| REC-0002 | Small Business | Retail | Low | 2024-05-20 |
| REC-0003 | Corporate | Manufacturing | Low | 2024-05-19 |
| REC-0004 | Individual | Education | Low | 2024-05-19 |
| REC-0005 | Institution | Public | Low | 2024-05-18 |
| … | … | … | … | … |
Reflects business context and rules
to generate data you can actually use.
Validates AI and analytics model performance
so it is ready for real-world use.
Checks and minimizes re-identification risk
to support safe data use.
Many companies and institutions merely store data of enormous value
They hold vast payment, transaction, and credit data,
but regulation blocks both model training and external sales.
They hold vast administrative and statistical data with open-data mandates,
but privacy concerns constrain release and sharing.
AI and analytics need data,
but source data cannot be passed to vendors or shared across teams.
Until now, corporate and institutional data has not been an asset that creates value — it has been a cost that must be stored and managed.
A specialized solution that automates synthetic data generation,
flexibly applying each stage — collection, cleansing, analysis, synthesis, and visualization.
Safely collect sensitive data
from diverse sources.
Comprehensively analyze structure, relationships,
distributions, patterns, and domain rules.
Generate safe synthetic data
based on the analysis.
Verify re-identification risk and similarity
to confirm safety.
Use validated data for AI training,
analytics, and service development.
| Customer ID | Age | Region | Purchase | Tenure | Churn |
|---|---|---|---|---|---|
| CUST-0001 | 30s | Seoul | 125,000 | 14 mo | No |
| CUST-0002 | 40s | Busan | 98,000 | 7 mo | No |
| CUST-0003 | 20s | Daegu | 63,000 | 3 mo | Yes |
| … | … | … | … | … | … |
Strong security design and access controls
keep your data safe.
A multi-layer validation system guarantees
privacy and quality at once.
Data ready to use immediately,
from AI training to service development.
An architecture that scales flexibly
to large volumes and diverse domains.
RealDataEcho delivers business context, privacy, and performance validation together.
Reflects business context and rules
to generate data you can actually use.
Checks and minimizes re-identification risk
to support safe data use.
Validates AI and analytics model performance
so it is ready for real-world use.
Combining differential privacy (DP), contrastive learning (FLCL), and data augmentation
to solve the sensitivity and complexity of structured data at once.
Securely upload data
in various formats
Automatically analyze schema,
distributions, and correlations
Generate high-quality data
at your chosen privacy level
Check utility, similarity, and re-identification risk
in one validation report
Deploy the way you want and use it
directly in your work and systems
RealDataEcho validates data quality, privacy,
and real-world usability in a single report.
The generated data meets quality, privacy, and usability criteria.
From the public sector to finance, enterprises, and AI teams — safe data utilization for every environment.
See how RealDataEcho puts data to work — through a sample report and a short demo.
Sample report within 1 business day of request
Sensitive-data protection and governance compliance
Insights you can apply to your business right away