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MOSTLY AI

Synthetic data company offering a Data Intelligence Platform for generating, analyzing, and sharing privacy-safe synthetic data. Powered by Syntho.

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About MOSTLY AI

Synthetic data company offering a Data Intelligence Platform for generating, analyzing, and sharing privacy-safe synthetic data. Powered by Syntho.

Industries served

Products

  • View product

    Platform to access and work with production data securely, generate high-quality privacy-safe synthetic data, and analyze and share data across teams.

  • AI Assistant

    Synthetic DataFree plan

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    AI-native workspace for data intelligence with persistent Python sessions, frontier AI model access, and shareable artifacts for collaborative analysis.

  • Mock Data

    Synthetic DataFree plan

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    LLM-powered generation of schema-compliant, multi-table, production-like test data with referential integrity for development, QA, and demos without using real personal informat...

  • Synthetic Data SDK

    Synthetic DataFree plan

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    Open-source Python SDK (Apache v2) for local synthetic data generation powered by the TabularARGN model architecture with built-in differential privacy.

  • Simulated Data

    Synthetic DataFree plan

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    Model edge cases, future scenarios, and what-if conditions using controlled data simulation based on real or synthetic data for stress testing and algorithm validation.

What customers say

“Using the Synthetic Data SDK with our whole customer base, we can increase access from 11% to 100% with a synthetic customer base that mirrors the original dataset but with 100% privacy.”
CustomerSynthetic Data SDK customer
“That’s where I think synthetic data really comes into the picture - where you're able to take a valuable data asset and then generate a synthetic data asset that essentially mimics that data itself... whether directly via Delta Sharing to your partner or in a Clean Room setting.”
CustomerMOSTLY AI customer

Security and compliance

As reported by MOSTLY AI. Ask for audit reports before you buy.

  • SOC 2Certified
  • ISO/IEC 27001Certified
  • Privacy-by-design architecture
  • No 1:1 relationship between synthetic and original data records
  • Model overfitting prevention via loss functions and validation criteria
  • Rare category protection for categorical columns
  • Extreme value protection for numerical and date-time columns
  • Extreme sequence length protection for linked records
  • All privacy protection settings enabled by default
  • On-premises and air-gapped deployment support

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