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Synthetic Data

"Synthetic data looks real —
but it is data created by AI, not the real thing."

Data you can use just like the real thing, without privacy concerns — synthetic data is the answer.

Pseudonymization vs. anonymization vs. synthetic data — unlike masking or deletion, synthetic data replaces the original with newly generated data that reflects its statistical properties and patterns, free of sensitive information.
PROBLEM

The challenges our customers face

Personal data regulatory environment
Plenty of data, yet AI development stands still

"We have plenty of data — so why is AI development this hard?"

Many companies want results from AI, but once they start,
they hit an unexpected wall of reality.

  • · Tightening regulations such as privacy laws and GDPR
  • · Restrictions on data sharing across teams and institutions
  • · Training data that is too scarce or too skewed
  • · Data locked away over fears of external leakage
REALDATAECHO

A synthetic data solution you can use like real data, without privacy concerns —
the answer is RealDataEcho.

"Recreate real data — safely and precisely" RealDataEcho is a synthesis solution specialized for structured data,
integrating everything from domain analysis to privacy protection and synthesis.

RealDataEcho 7-step solution flow — real data → domain analysis → privacy processing → hybrid synthesis engine → synthetic data generation → post-processing and validation → finished synthetic data
7-STEP PIPELINE

Seven steps that recreate real data
safely and precisely

From domain analysis to post-processing and quality validation — complete within a single solution.

1
STEP 01 · Input

Real Data

"We receive your valuable data securely"

  • Supported formats: CSV, Excel, JSON, DB integration
  • Secure environment: on-premises deployment blocks external leakage
  • Preparation time: upload complete in just a few minutes
2
STEP 02 · Analysis

Domain-Specific Analysis

"AI uncovers the hidden patterns in your data"

  • Specialized analysis by domain — finance, healthcare, marketing, and more
  • Automatic detection of inter-column correlations
  • Recognition of time-series patterns and seasonality
3
STEP 03 · Protection

Privacy-Enhancing Processing

"We protect personal information completely"

  • Differential privacy (DP) technology applied
  • Automatic detection and removal of sensitive information
  • Re-identification risk controlled below 0.01%
4
STEP 04 · Synthesis Engine

Hybrid Synthesis Engine CORE

"A combination of three state-of-the-art AI technologies"

  • GAN · reproduces complex data distributions
  • Diffusion · generates high-quality fine-grained patterns
  • Transformer · preserves time-series relationships
5
STEP 05 · Generation

Synthetic Data Generation

"New data is born"

  • Statistical properties 97% identical to the original
  • 0% personal information included
  • Output ready for AI training right away
6
STEP 06 · Validation

Post-processing · Quality Validation

"Every dataset goes through strict quality control"

  • Automatic verification of statistical similarity
  • AI model performance testing
  • Re-checking for personal data exposure risk
7
STEP 07 · Complete

Synthetic Data DONE

"Now use it without worry"

  • 97% of original quality preserved
  • Legal risk: zero
  • Ready for AI training and analysis immediately

Recreate your real data — safely and precisely.

The RealDataEcho synthetic data solution. Get in touch today.

Request a Demo → Contact Us