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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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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

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

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
- Merkur Innovation Lab
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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.
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Get 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.
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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.