Synthetic Data Generation
Generate synthetic data from your real data to accelerate and improve your data-driven strategy without compromising security and privacy.
Dedomena was built for
data driven companies
Dedomena Synthetic Data Generation tool is able to replicate the statistical, informational and predictive components of real world data without containing any identifiable information, ensuring business value without compromising customer's privacy.
Register for freeHigh-quality data
Besides preserving the statistical properties of the original data, our methods preserve the data quality and structure, ensuring high-quality data for purposes such as training ML models.
- Statistical properties preservation
- Data quality and structure maintained
- Ready for ML model training
How does it work?
Dedomena is the platform that helps companies develop scalable AI solutions by putting data at the heart of their strategy
Select data to protect
We provide a user interface and/or API for companies to easily create synthetic data projects and integrate synthetic data into existing data pipelines and processes.
Configure your synthesization job
Our platform analyzes your data and recommends the optimal run configuration. Optionally, you can replace column names, data types as well as other dataset and run configurations, allowing you to generate clean and useful data.
Train the model that generates synthetic data
Our algorithm learns your data's patterns, statistical distributions, correlations, and time dependencies. The resulting model will then be used to generate synthetic copies of your data.
Work with confidence, data quality assured
Now synthetic data is generated and ready to use. Additionally, Dedomena generates a QA report evaluating the utility and privacy of the newly generated data.
Benefits
Generating data that looks real sounds like a fantastic playground for your business.
Be faster
Reducing time-to-data and time-to-market from months to days. Up to 50X shorter time-to-data.
Improve customer understanding
Accessing fully anonymous synthetic behavioural data. 90% more data for your customer data analytics projects.
Increase ML accuracy
Work with larger volumes of synthetic data that retains structure, patterns and value. Improve ML performance by 20-40%.
Eliminate privacy risks
Minimizing the need of processing real customer data. $3.5 million is the average cost to remediate a data breach.
Reduce costs
Say goodbye to data compliance bureaucracy and endless processes. Reduce data provisioning costs by 75%.
Boost collaboration
Share synthetic versions of your customer data. Reduce up to 80% on data delivery time and costs.
10 Synthetic Data Trends to watch in 2025
Embracing Innovation: What You Need to Know About Synthetic Data Trends in 2025
Use cases
Developing successful data-centric initiatives requires access to large amounts of high-quality and secure data.
Improved Machine Learning
In AI and ML development, synthetic data is better than real data. Synthetic data can also be augmented and create records to fix biases.
Data Monetization
Take your data monetization strategy further by selling packages of synthetic data to third parties.
Data Retention
Even though the original data is no longer in the custody of the entity, there is no limit on how long or for what purpose the synthetically generated data can be used.
Testing & Development
Synthetic data empowers engineers to create and test software applications in shorter development cycles, making products come to life before launching.
Vendor evaluation and Hackathons
Outsource innovation, design, development and testing of data-intensive applications eliminating the lag in the process.
Data Sharing
Synthetic data functions as production data but anonymous, so that it can be used and shared with partners and providers for PoCs, software testing and advanced analytics projects.
Related Articles
Check out some of our explanatory articles or cross-industry use cases to know more.
2025: The year Synthetic Data becomes essential
Synthetic data is creating a global marketplace of possibilities, enabling innovation and collaboration like never before.
Unlocking Value: How Synthetic Data Transforms Data Assets
Discover how synthetic data can transform your data assets into new revenue streams while maintaining privacy compliance.
10 Use Cases for Privacy-Preserving Synthetic Data
Explore ten powerful use cases where synthetic data enables innovation while preserving privacy.
What is the ROI of Synthetic Data?
Understanding the return on investment when implementing synthetic data solutions in your organization.
What is Synthetic Data?
A comprehensive introduction to synthetic data: what it is, how it works, and why it matters.
Benefits of Synthetic Data
The key benefits of adopting synthetic data in your organization's data strategy.