🚀 MOSTLY AI releases World’s First Industry-Grade Open-Source Toolkit for Synthetic Data

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The Synthetic Data Blog

If you want to learn about the latest developments in the synthetic data space, you are in the right place. The synthetic data blog covers the latest developments, research results and business best practices.

January 23, 2025

Alexandra Ebert

Unlocking AI Training Data for All: MOSTLY AI Releases World’s First Industry-Grade Open-Source Toolkit for Synthetic Data

Today we launch the first industry-grade open-source synthetic data toolkit (SDK), enabling any organization to easily generate high-quality, privacy-safe synthetic datasets from sensitive proprietary data, all within their own compute infrastructure. By eliminating data-sharing hurdles, this open-source release clears the path for the next wave of AI innovation, fueled by previously inaccessible data. Synthetic Data […]

February 27, 2025

Synthetic Data for Financial Services—Enabling AI While Protecting Privacy

The Challenge: Enabling AI Without Exposing Sensitive Financial Data Financial institutions rely on AI and analytics for fraud detection, risk modeling, and strategic decision-making. However, strict privacy regulations like GDPR and CCPA make it difficult to access and use financial data. To comply, teams often resort to:🚧 Manual data masking that distorts data quality.🚧 Complex […]

February 19, 2025

Accelerating Privacy-Preserving Synthetic Data in Databricks with the Open-Source Synthetic Data SDK

Access to high-quality data is essential for organizations to accelerate AI and analytics initiatives. However, privacy concerns, compliance constraints, and slow data access often stand in the way. Privacy-preserving synthetic data removes these roadblocks, providing on-demand, high-fidelity datasets without compromising sensitive information. Powered by MOSTLY AI, the Synthetic Data SDK enables you to generate synthetic […]

January 29, 2025

Leveraging Privacy-Preserving Synthetic Data as an On-Demand Data Source in AWS SageMaker

To truly unlock the power of AI, organizations need faster, more flexible access to high-quality data. But slow, restricted data access and centralized data teams often create bottlenecks. Privacy-preserving synthetic data eliminates these barriers, enabling intelligent, on-demand data access. With MOSTLY AI's open-source Synthetic Data SDK, organizations can generate high-fidelity synthetic data directly within their […]

January 23, 2025

Introducing TabularARGN – A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data

TabularARGN is powering the synthetic data generation capabilities of the MOSTLY AI Platform, delivering reliable quality and efficiency to our users. Today, we are pleased to share the architecture and implementation of this foundational model framework with the community. In our latest paper we present the TabularARGN framework, now part of our open-source SDK, making […]

January 23, 2025

Michael Platzer

The Synthetic Data SDK - An open-source python toolkit for high-fidelity privacy-safe synthetic data

Data is the lifeblood of the digital era, as it captures an ever growing amount of knowledge. Yet, while our future is being increasingly shaped by smart products and services that build on top of data, it is more often than not, that only a few people will ever get the opportunity to access such […]

January 23, 2025

Alexandra Ebert

Unlocking AI Training Data for All: MOSTLY AI Releases World’s First Industry-Grade Open-Source Toolkit for Synthetic Data

Today we launch the first industry-grade open-source synthetic data toolkit (SDK), enabling any organization to easily generate high-quality, privacy-safe synthetic datasets from sensitive proprietary data, all within their own compute infrastructure. By eliminating data-sharing hurdles, this open-source release clears the path for the next wave of AI innovation, fueled by previously inaccessible data. Synthetic Data […]

December 18, 2024

Unlock data democratization and accelerate model development on Amazon SageMaker with privacy preserving Synthetic Data

Data fuels Machine Learning (ML), but privacy constraints often delay access to sensitive real world (original) datasets for weeks or months. MOSTLY AI bridges this gap by providing privacy-safe synthetic data in minutes, enabling ML developers to build and test models in development environments without accessing the sensitive data. This article describes how to use […]

November 18, 2024

Michael Platzer

Differentially Private Synthetic Data with MOSTLY AI

MOSTLY AI now offers users the choice to train synthetic data generators with or without differential privacy (DP) guarantees! By toggling DP on in the model configuration, training becomes differentially private, and the platform tracks the privacy budget (Epsilon) throughout. Users can also set an upper Epsilon limit, stopping training automatically when the budget is […]

October 4, 2024

Accelerating Data Innovation with MOSTLY AI’s GenAI Synthetic Data Platform and Databricks

Introduction In today’s data-driven world, the ability to leverage high-quality, privacy-safe data is paramount. The MOSTLY AI Platform provides a suite of advanced data capabilities, including synthetic data generation and generating AI-driven insights. To streamline the integration of these capabilities within Databricks, we’ve developed a comprehensive Solution Accelerator. This blog post outlines the goals and […]

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