Synthetic Population Generator
Liberate your customer data
DataGenesis transforms your customer records into an analysis-ready population dataset, suitable for automated testing and safe to share
ACCORDING TO GARTNER®:
"By 2025,
synthetic data will reduce personal customer data collection, avoiding 70% of privacy violation sanctions."
Gartner, Emerging Tech: Tech Innovators in Synthetic Data for Image and Video Data - Domain-Focused (Feb 17 2023). GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved
"by 2025, the use of synthetic data will reduce the volume of real data needed for machine learning by
70%."
Gartner, Innovation Insight of Generative AI (Dec 15 2022). GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved
datagenesis | free data sample
MIAMI CITY (pop. 440,000 | U.S. Census Profile)
Miami-Dade County, FL, United States
Miami City boasts a bustling economy driven by tourism, finance, trade, and technology industries, making it a major economic hub in the southeastern United States. Celebrated for its diversity, the city is a melting pot of cultures with vibrant communities from Latin America, the Caribbean, Europe, and beyond. However, Miami faces increasing exposure to hurricanes and flooding, requiring constant adaptation and resilience strategies to mitigate risks and ensure the safety of residents and businesses.
Ready to generate your test cases?
TURN CUSTOMER DATA INTO A LIVE SYNTHETIC POPULATION
OUTCOMES & BENEFITS
Minimize your data debt by removing regulatory non-compliance risks, shortening data cycles, and generating hidden demographic insights.
Your organization owns personal data records of clients, patients, or citizens. This information is essential to generate insights about your target segments and obtain a competitive lead. But you have hit a barrier when:
Your data is subject to increasingly stringent privacy regulations (PII, GDPR, CCPA, HPAA) that make it difficult to share, even internally. Companies are increasingly at risk of seeing their AI deployments banned by a regulator for noncompliance with data protection or AI governance legislation.
Your records do not have sufficient quality, scale, and consistency. Many organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.
DataGenesis synthetic population mimics your customer data and expands it with realistic socioeconomic factors, geography, and life events.
Shareable
For collaboration and publication
Accurate
A realistic representation of national demographics and socioeconomics
Malleable
Age and forecast, fill dat gaps, extrapolate to other segments, and scale
Our Technology
EXPLAINABLE AND ETHICAL AI
DataGenesis is the most advanced generator of synthetic demographic data in the market. Synthetic data is artificially generated to mimic real-world data patterns while containing no actual information about specific individuals or entities.
Through custom data pipeline integration, DataGenesis supports Digital Transformation with high-quality customer-centric data lineage, reinforced data protection policies, and true collaborative Enterprise data governance.
| BETTER THAN DIFFERENTIAL PRIVACY | BETTER THAN RULE-BASED DATA GENERATION | BETTER THAN GENERATIVE AI ALTERNATIVES |
|---|---|---|
|
Identification is still possible after data masking and obfuscation |
Deterministic generation is unidimensional and based on predefined cases |
Other GenAI alternatives are black boxes that only mimic original data schema |
|
DataGenesis removes all Personal Identifiable Information (PII) making it impossible to trace back to specific data entities |
DataGenesis maintains multivariable integrity and includes real-world corner cases which are key for testing and AI training |
DataGenesis explainable models are foundational for ethical AI, and generate population context for rich analysis and aging |
POPULATION SYNTHESIS
Generate self-contained data sets of households, businesses and other entities. Verify the validity of results against authoritative data sources
SCENARIO BRANCHING
Create alternate realities of your population as it ages in parameterized future scenarios. Perform what-if scenario analysis and business forecasts
DATA AUGMENTATION
Expand real or synthetic Enterprise datasets with demographic and socioeconomic attributes. Interpolate to fill data gaps and enhance data quality
TEST AUTOMATION
Create privacy-compliant datasets for your test environments and AI model training. Automatically generate a wide range of test cases
PACKAGES
CUSTOM POPULATION ATTRIBUTES THAT SUIT YOUR NEEDS
We offer baseline demographic attributes with optional package extensions for domain-specific analysis.
For different data volumes or custom geographies, contact us.
We offer discounts for academia and strategic partners.
Demographics
Population growth, migrations, transportation, psychographics- Household composition
- Personal information
- Origins
- Dwelling characteristics
- Postal address
Socioeconomics
Revenue analysis, disposable income, fraud detection, financial risk- Income sources
- Employment
- Businesses activity
- Education level
- Military
Health
Disease spread, disaster management, health vulnerability- Health conditions
- Disability
- Vulnerability index
- Social indicators to health
- Disaster exposure risk
DataGenesis is creating value in applications with strong demographic and psychographic components. From revenue protection to healthcare and emergency management , DataGenesis population datasets are supporting automated testing and predictive analytics across application domains and geographic scales.