How is MOSTLY AI's synthetic data different from traditional methods?

It uses advanced generative models like TabularARGN (a variant of GANs) trained on your data to produce high-fidelity, realistic datasets, unlike simpler rule-based or statistical methods that lack complexity.

Is the Synthetic Data SDK truly open-source?

Yes, the SDK is released under a fully permissive Apache v2 license, allowing you to train and generate synthetic data locally in your own Python environment while retaining full data control.

How does the platform ensure my original data never leaves my environment?

The SDK operates entirely within your local Python environment. For the platform, you can deploy it on your own Kubernetes or OpenShift cluster within your secure infrastructure, ensuring data sovereignty.

Can synthetic data be used to train AI models that perform as well as those trained on real data?

Yes, when generated correctly, synthetic data can train models that perform nearly as well as those trained on real data. The key is high-quality generation and validation using methods like Train Synthetic, Test Real (TSTR).

What happens to biases present in my original data?

The platform aims to replicate the original data's statistical properties, including existing biases. This is by design to maintain realism. The process won't introduce new biases, but you should verify and address original biases separately.

What kind of data can I generate with MOSTLY AI?

It excels at structured tabular data and can handle complex relationships, time-series, and even text-based columns, enabling the creation of comprehensive synthetic datasets.

Directory/Analytics/Data Generation/MOSTLY AI (powered by Syntho)

MOSTLY AI (powered by Syntho)

MOSTLY AI is a synthetic data generation platform that creates high-fidelity, privacy-safe datasets that mimic real data without exposing sensitive information. It offers an AI assistant for natural language data analysis, team collaboration features, and enterprise-ready deployment. The platform is ideal for organizations needing to securely generate test data, share data across teams, or accelerate AI/ML development while complying with privacy regulations like GDPR.

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Added on

Sep 22, 2026

Synthetic Data PlatformAI AssistantTabularARGN ModelPrivacy-SafeOpen Source SDKData SharingEnterprise Ready

Product information

Everything worth knowing about MOSTLY AI (powered by Syntho)

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Agentic AI Assistant

Use natural language to create and run Python code for data analysis and insights directly on production data.

Synthetic Data Generation

Create high-fidelity, privacy-safe synthetic data that mirrors real data without exposing sensitive information.

Mock Data for Testing

Generate realistic structured and text-based data for safe experimentation, prototyping, and staging environments.

Real-World Data Analysis

Access and analyze live production data from enterprise systems to gain insights and monitor performance.

Technical capabilities

Open Source SDK

A fully permissive Synthetic Data SDK under an Apache v2 license for generating data locally in Python.

Must watch videos

Syntho Synthetic Test Data Management Platform Platform Demo

1:51

Tutorial1:51

Syntho Synthetic Test Data Management Platform Platform Demo

This video takes you on a quick tour of our synthetic data platform. 0:00 Introduction 0:04 Creating a workspace 0:10 Masking Synthetic Data - Remove or modify PII 0:33 Rule-Based Synthetic Data - Generate new data based on your own rules & patterns 0:50 AI-Generated Synthetic Data - Mimic the statistical patterns of the original data 0:59 Main Hub - Manage all data generation & PII protection from one place 1:26 One-Step Configuration 1:40 Why Syntho Website: https://www.syntho.ai/ Book a demo: https://calendly.com/syntho/demo Contact us: https://syntho.ai/contact-syntho LinkedIn: https://www.linkedin.com/company/syntho/

20:46

Comparison20:46

Webinar: Build Better Software, Faster

Discover how software providers can overcome data access bottlenecks using synthetic data. Learn how to: 1. Accelerate development & time-to-market with fewer bugs in production 2. Build and test products or features when real data is locked 3. Easily generate more edge cases to prevent missed defects 4. Speed up proof of concepts & pilot launches 0:00 Introduction 0:04 About Syntho 2:24 Use cases overview 06:15 Live demo of the Syntho Engine Website: https://www.syntho.ai/ Book a demo: https://calendly.com/syntho/demo Contact us: https://syntho.ai/contact-syntho LinkedIn: https://www.linkedin.com/company/syntho/

Webinar: Accelerate CI/CD in Finance: Eliminate PII risks by utilizing AI in Test Data Management

46:36

Tutorial46:36

Webinar: Accelerate CI/CD in Finance: Eliminate PII risks by utilizing AI in Test Data Management

Welcome to the Accelerate CI/CD in Finance webinar! In this session, we explore smarter Test Data Management strategies using AI-driven automation and synthetic data solutions. 0:00 Introduction 1:00 Poll results on the challenges in test data management 15:21 The hidden cost of poor test data 21:03 Deployment and integration 22:48 Demo Website: https://www.syntho.ai/ Book a demo: https://calendly.com/syntho/demo Contact us: https://syntho.ai/contact-syntho LinkedIn: https://www.linkedin.com/company/syntho/

Who uses it

Real use cases, no hype

AI/ML Model Training

Generate privacy-safe, balanced training data to improve model performance and handle class imbalance.

Secure Data Sharing

Share high-quality synthetic datasets with teams, partners, or the public without exposing sensitive information.

Software Testing & QA

Create realistic test data and edge-case scenarios for staging environments and comprehensive QA testing.

Self-Service Analytics

Empower teams with an AI assistant to query and analyze production data insights using natural language.

Healthcare Research

Develop and share patient-like datasets for clinical model training while ensuring strict patient confidentiality.

Financial Risk Modeling

Simulate fraud scenarios, credit risks, and what-if conditions without using real transaction or customer data.

Privacy-Compliant Innovation

Accelerate product development and research by providing access to realistic data that mimics production systems.

What's great

Fully permissive Apache v2 open-source SDK
Easy-to-use platform for beginners and experts
Enables secure data sharing across teams and partners
Agentic AI assistant for natural language data analysis

Technical strengths

Industry-leading TabularARGN model for high-fidelity synthetic data
Strong privacy guarantees with built-in differential privacy
Scalable deployment on Kubernetes or OpenShift

Where it falls short

Synthetic data may not capture all real-world complexity
Requires careful validation to avoid amplifying biases
Free tier might have limitations for large-scale production use

Technical limitations

Advanced features tied to enterprise plans
Initial learning curve for complex generator configurations

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

Synthetic data is AI-generated data that mimics the statistical properties of real data without containing any real personal information. It's used to overcome data privacy regulations, address data scarcity, and enable safe sharing and testing.

Traffic Insights

Monthly Visits

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October 2026

Growth Rate

vs last month

Dominance

in Analytics

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview

Freemium Pricing

MOSTLY AI (powered by Syntho) Pricing

MOSTLY AI (powered by Syntho) uses a freemium pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on MOSTLY AI (powered by Syntho)

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