Synthetic Data. Better than real.
Still struggling with real data? Use existing data to create synthetic data that is more accessible, more flexible, and simply...smarter.
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What is synthetic data, anyway?
Synthetic data is an artificial version of your real data
Synthetic data looks and feels like real data. With MOSTLY AI, you can make your synthetic data bigger, smaller, rebalanced, or augmented to fill in missing data points. Learn more about synthetic data.
Synthetic data is NOT
mock data
Synthetic data is much more sophisticated than mock data. It retains the structure and statistical properties (like correlations) of your real data. You can confidently use it in place of your real data. Learn about synthetic data generation methods.
Synthetic data is smarter than data anonymization
Synthetic data points have no 1:1 relationship to the original data and as such, are private-by-design. Synthetic data is a much smarter alternative! Learn more about why legacy data anonymization can be dangerous.
Why use synthetic data?
Synthetic data is more accessible than real data.
Synthetic versions of your real data can be shared without privacy concerns, directly from the MOSTLY AI Synthetic Data Platform. Synthetic data does not contain any personal data and is privacy-safe.
“We see synthetic data as the foundation for all future data-driven development, as it provides the only GDPR-compliant method for unlocking advanced analytics and insights based on customer data.”
Dietmar Böckmann
Managing Director, IT Solutions
- ERSTE Group
Managing Director, IT Solutions
- ERSTE Group
Synthetic data is more flexible than real data.
Synthetic data is easy to manipulate. Downsize large datasets into more manageable versions, blow up small datasets for stress testing systems, upsample minority classes for more accurate machine learning models, perform data simulations by changing distributions, or fill in missing data with realistic synthetic data points. The options are endless!
“Synthetic data can be used to test a model for biases, to drive pilot projects, and to determine whether it’s worth the time and trouble to get the approvals to work with the real data. Synthetic data allows the organization to create millions of unique profiles, each containing all the data it needs to test the software and find edge cases that weren’t initially identified.”
Ornit Shinar
Global Head of External Innovation and Venture Investing
- Citi Innovation Labs
Global Head of External Innovation and Venture Investing
- Citi Innovation Labs
Synthetic data is smarter than real data.
Real data always comes with significant limitations. Legacy data anonymization techniques destroy the utility and the intelligence of your real data. Using synthetic data generated from real data provides higher privacy and high utility. Organizations like Citi, Humana and SWIFT are already reaping the benefits of synthetic data. Simply put, synthetic data is just…smarter.
“Thanks to MOSTLY AI's synthetic data solution, we can work and innovate with the most sensitive data type there is: health data. The synthetic health data generated with MOSTLY AI is so accurate that it can serve as a drop-in replacement for privacy-sensitive real data in analytics and machine learning development, representing true innovation.”
Daniela Pak-Graf
CEO
- Merkur Innovation Lab
CEO
- Merkur Innovation Lab
Why MOSTLY AI?
Learn more about why you should use the MOSTLY AI synthetic data generator.We’re the pioneer
MOSTLY AI was the first to develop and deploy synthetic data in enterprise settings. Since 2017, we’ve been trusted in the most privacy-sensitive industries, such as banking, healthcare, and insurance. Read about key industries MOSTLY AI works with.
Highest accuracy
Synthetic data accuracy measures how close synthetic data is to your real data. We’re proud to consistently produce the most accurate synthetic data on the market today. See how MOSTLY AI’s accuracy compares with other synthetic data generators.
No code!
You don’t need to be a developer or a data scientist to use our platform. If you can drag and drop a file, you can use MOSTLY AI. Try our free version for yourself and see how you can create your first synthetic dataset in minutes, no code experience necessary.
Get started with MOSTLY AI
1.
Grab your real dataset.
We recommend using a CSV or Parquet file with 5,000 subjects or more.
2.
Upload your dataset.
MOSTLY AI analyzes and immediately deletes your real data to ensure it remains private.
3.
Download your shiny new synthetic dataset!
Use it and share it as you would real data! It has retained all the statistical characteristics of your real dataset, without any private information.
Connect MOSTLY AI with your favorite tools
Synthetic data use cases
Discover all the synthetic data use cases to advance your organization’s goals. Eradicate data sharing limitations, test and develop products, train machine learning algorithms, eliminate biases, and more.
Where does synthetic data generation fit in?
You can connect MOSTLY AI to wherever you store your data, such as your cloud data warehouse, data lake, or RDBMS. Transform it, synthesize, and share it directly from our platform to use for BI, AI/ML, collaboration, and much more. Synthetic data generation has no limits.
Find out more about our platformGet the latest synthetic data updates
Read our synthetic data blog, check out groundbreaking podcast episodes from our Data Democratization podcast, catch up on synthetic data news, and much more.
Ready to try synthetic data?
The best way to learn about synthetic data is to experiment with synthetic data generation. Try it for free or get in touch with our sales team for a demo.