3X SYNTHETIC DATA

Generate Privacy-Safe Multi Modal Synthetic Data in Minutes.

Development, testing, and AI/ML training stall when teams cannot access production data due to privacy regulations, security restrictions, and compliance requirements. 3X Synthetic Data generates production-grade, statistically accurate synthetic datasets across JSON, CSV, relational databases, PDFs, and medical images with zero PII exposure and full GDPR, HIPAA, and PCI-DSS compliance.

Generation Run — Patient Records · HIPAA-Safe · 5 output formats
Seed Data AnalysisComplete
Parsing schema, constraints & data patterns
Privacy EnforcementComplete
Stripping PII · Applying HIPAA / GDPR rules
Multi-Modal Data GenerationComplete
JSON · CSV · SQL · PDF · Medical Images
Validation & Integrity CheckComplete
Referential integrity · Statistical accuracy · Format compliance
50,000+Records per generation run
MinutesTo generate privacy-safe data
ZeroProduction PII exposure risk
5Output formats supported
VS
WITHOUT 3X SYNTHETIC DATA
Test Data Creation4–6 weeks
Privacy Review Process2-3 weeks per request
Data Masking QualityRe-identification risk
Cross-Team SharingBlocked by compliance
AI Training Data VolumeLimited by privacy constraints
Multi-Format GenerationManual, format-by-format
Synthetic Documents and ImagesRequires specialized skills / tools
WITH 3X SYNTHETIC DATA
Test Data CreationMinutes
Privacy Review ProcessNot needed, zero PII
Data Masking Quality100% Synthetic, no re-ID risk
Cross-Team SharingUnrestricted, compliance-safe
AI Training Data VolumeUnlimited, on-demand scaling
Multi-Format GenerationJSON, CSV, SQL, PDF in one run
Synthetic Documents and ImagesAI-generated PDFs, medical images built-in

Problems we solve

Every data privacy breach, testing bottleneck, and AI training delay traces back to the same problem: teams need realistic data but cannot safely access production systems. Data masking and anonymization fall short. 3X Synthetic Data eliminates the risk entirely.

Weeks of Manual Test Data Creation

Development, QA, and migration testing delayed by months of manual data creation. Teams hand-craft datasets row by row and end up with incomplete coverage. Test data isn't ready when the code is.

Unrealistic Test Data

Test data without statistical accuracy fails to validate pipelines, applications, and ETL transformations. Basic tools miss distributions, edge cases, and cross-table relationships. Bugs surface in production.

Production Data Exposure Risks

Copying production into dev exposes PII, financial records, and health data. One breach triggers GDPR fines up to 4% of global revenue, HIPAA penalties up to $1.5M per violation, and PCI-DSS failures.

Medical AI Training Constraints

Medical imaging and healthcare AI training constrained by limited datasets and privacy rules. Models underperform on thin data. HIPAA blocks sharing real records across teams or institutions.

Data Sharing Blocked by Compliance

Can't share realistic data with offshore teams, vendors, or QA partners under GDPR, HIPAA, and PCI-DSS. Development slows when every team waits months for legal and security approvals.

Masking Fails to Prevent Re-Identification

Traditional masking and anonymization don't prevent re-identification. Masked datasets can be reverse-engineered against public data. Synthetic data from statistical patterns is the only approach that eliminates the risk.

Key features

3X Synthetic Data creates entirely new data from statistical patterns and seed analysis, not masked replicas of production records. Every dataset is statistically accurate, privacy-safe, and production-grade with zero re-identification risk.

JSON and CSV Generation

Synthetic JSON and CSV datasets from seed data or schema with configurable volumes and variation. Preserves statistical distributions, value ranges, and field relationships while generating entirely new records.

Synthetic Data for Relational Database

Generate synthetic data for PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, and Databricks. Preserves foreign keys, cross-table relationships, and cardinality. Structural accuracy for integration testing and migration validation.

Synthetic PDF Document Generation

Synthetic PDFs from template analysis: invoices, claims, patient records, contracts, and filings. Layout, structure, and logic preserved. For OCR validation and document pipeline testing without exposing real files.

Medical Image Generation

Synthetic X-ray, CT, and MRI images with HIPAA-compliant metadata. Clinically realistic imaging for AI training, diagnostic algorithm development, and medical research. No patient identification.

Privacy-Safe by Design

100% synthetic. Not masked, not anonymized, not derived from real records. Full GDPR, HIPAA, PCI-DSS, and SOX compliance for testing, dev, and third-party sharing without legal review.

Configurable Variation Control

Tune realism, variation strength, edge case frequency, and statistical distribution. Stress-test boundaries and null handling, or generate high-fidelity datasets that mirror production for AI/ML training.

How it works

A multi-stage intelligent pipeline that analyzes, generates, and validates synthetic data across every format automatically.

On-Demand Intelligent Multi-Modal Synthetic Data Generation at Scale
YOUR SEED DATA
3X SYNTHETIC DATA
DELIVERABLES
Structured Files
Relational Databases
Enterprise Documents
Medical Imaging
Semi-Structured Data
  • Privacy Constraints
  • Compliance Requirements
  • No Production Data Access
  • Scale Limitations
Statistical Pattern Learning
Relationship & Structure Preservation
Configurable Variation Control
Multi-Modal Data Generation
Privacy Enforcement Layer
Automated Validation & Preview
Realistic, Privacy-Compliant Synthetic Data
Multi-Format Export Ready JSON · CSV · SQL · PDF · Images
Statistical Accuracy Reports
Referential Integrity Maintained
Synthetic Dataset Traceability
Scalable Generation & Integration-Ready Outputs

Sample outputs

Every generation run produces structured, validated deliverables. Here's a live preview of what your team receives.

  • JSON / CSV
  • Database Records
  • Quality Report
  • Compliance Summary
GENERATED JSON SAMPLE
{
  "patient_id": "SYN-0847291",
  "first_name": "Elena",
  "last_name": "Marchetti",
  "dob": "1987-03-14",
  "diagnosis_code": "J45.20",
  "is_synthetic": true
}
GENERATION METRICS
12,500Records Generated
100%Privacy-Safe
0.97Statistical Fidelity
8Schema Fields
FORMAT DISTRIBUTION
JSON5,000 records
CSV7,500 records

Platform coverage

3X Synthetic Data generates privacy-safe data across every major format — structured, unstructured, and visual.

JSON

Nested, complex, configurable

SupportedAPI

CSV

Flat files, tabular, bulk export

SupportedFlat File

SQL

PostgreSQL, MySQL, Oracle, MSSQL

SupportedRDBMS

PDF

Templated documents, varied content

SupportedDocument

X-Ray

HIPAA-safe synthetic imaging

SupportedMedical

CT Scan

Multi-slice synthetic volumes

SupportedMedical

MRI

Tissue contrast, multi-modal

SupportedMedical

Semi-Structured

XML, Parquet, Avro

SupportedFlexible

Success Stories

3X Synthetic Data supports the most in-demand enterprise data formats. Same AI-powered engine, same quality gates, adapted for each source-to-synthetic data pair.

Why 3X Synthetic data

Everything your team needs to generate, validate, and share realistic data across development, testing, and AI training environments without touching production data, requesting privacy approvals, or risking compliance violations.

01

Minutes to Generate

Thousands of synthetic records, PDFs, and medical images in minutes instead of weeks of manual creation. Every format (JSON, CSV, SQL, PDF, imaging) in a single run. Teams get data the day they need it.

02

Production-Grade Quality

Statistically accurate data that maintains business rules, referential integrity, value distributions, and realistic edge cases. Behaves like production for pipeline testing, migration validation, and AI/ML training.

03

Zero Privacy Risk

100% synthetic. No real PII, patient data, or financial records at any layer. Not masked, not anonymized. Fully compliant testing, development, and data sharing without GDPR, HIPAA, or PCI-DSS review.

04

Unlimited Scalability

Unlimited synthetic datasets at any volume for testing, validation, AI training, and demos. No production access requests. Scale from hundreds to millions of records on demand.

See Synthetic Data in Action

Get a personalised walkthrough tailored to your data engineering needs and synthetic data generation challenges.

Let's talk scale.

Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.

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