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Privacy-safe synthetic data platform with an open-source generation SDK
MOSTLY AI is a leader in tabular synthetic data, and the release of an Apache 2.0 open-source SDK meaningfully lowers the barrier for teams that want privacy-safe data generation in their own environment. It is a strong fit for regulated industries needing statistically faithful, privacy-preserving datasets. The enterprise platform is expensive and the hosted free tier is very limited, so smaller teams may lean on the open-source SDK instead. Verify current pricing and the Syntho-related branding with the vendor.
MOSTLY AI generates privacy-safe, statistically accurate synthetic tabular data from sensitive datasets, offered as an enterprise platform and an Apache 2.0 open-source Synthetic Data SDK.
MOSTLY AI is one of the most recognized platforms for synthetic data generation, specializing in tabular (structured) data. It trains generative models on sensitive production datasets and then produces synthetic datasets that retain the statistical relationships of the original data while ensuring individual records cannot be re-identified. This lets data teams unlock otherwise restricted data for analytics, machine learning, software testing, and secure data sharing across teams and partners. In early 2025 MOSTLY AI released an industry-grade open-source Synthetic Data SDK under a permissive Apache 2.0 license. The Python package lets organizations train synthetic data generators and produce differentially private, high-fidelity data entirely within their own compute infrastructure, which is attractive for teams that cannot send sensitive data to a third-party service. This positions MOSTLY AI as both an enterprise platform and an open-source toolkit. The broader MOSTLY AI platform, now presented as MOSTLY AI powered by Syntho, targets enterprise data teams with secure access to production data, privacy-safe synthetic generation, and data insights across an organization. Enterprise pricing starts around $3,000/month for its Marketplace tier with custom enterprise negotiation, alongside a very limited free tier for evaluation. Founded in Vienna in 2017, the company has raised over $30M across multiple rounds.
MOSTLY AI is a leading synthetic data platform for privacy-safe, high-fidelity tabular data, now paired with an Apache 2.0 open-source Synthetic Data SDK for local generation.
MOSTLY AI was founded in Vienna, Austria in 2017 and has raised over $30M across multiple rounds from investors including Citi Ventures, Molten Ventures, and Earlybird. It is presented in 2026 as MOSTLY AI powered by Syntho, reflecting a combined offering.
The company built its reputation on high-fidelity tabular synthetic data and expanded its reach by open-sourcing an industry-grade Synthetic Data SDK, broadening access beyond large enterprises.
MOSTLY AI trains generative models on sensitive data to produce synthetic datasets that preserve statistical relationships while protecting individual privacy, including differentially private synthesis. The open-source SDK enables local generation, while the enterprise platform adds governed data access and organization-wide data insights.
It targets structured/tabular data and integrates with databases, warehouses, and common file formats for ML, analytics, and test-data workflows.
MOSTLY AI targets enterprise data teams in regulated industries such as finance, insurance, and healthcare that need privacy-safe synthetic data for analytics, ML, and secure sharing.
Data scientists and engineers generating and using synthetic datasets.
Chief data officers, data platform leads, and privacy/compliance owners.
Data governance teams, ML engineers, and legal/compliance stakeholders.
Enterprises in regulated sectors that need statistically faithful, privacy-preserving synthetic tabular data for analytics, ML, and secure data sharing.
MOSTLY AI has raised over $30M across five rounds from investors including Citi Ventures, Molten Ventures, and Earlybird; verify the latest details with the vendor.
It generates privacy-safe, statistically accurate synthetic tabular data from sensitive datasets for ML, analytics, testing, and secure sharing.
Yes, MOSTLY AI released an open-source Synthetic Data SDK under a permissive Apache 2.0 license that runs in your own environment.
As of 2026, the Marketplace tier starts around $3,000/month with custom enterprise pricing; the hosted free tier is very limited.
It specializes in tabular (structured) synthetic data with high statistical fidelity and privacy protection.
Yes, the open-source Python SDK lets you train generators and produce synthetic data locally within your own compute.
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