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Mostly AI

Unlock insights with synthetic data that safeguards privacy and enhances analytics.

Freemium Rising

About Mostly AI

Mostly AI is a cutting-edge platform designed to generate high-quality synthetic data while ensuring the privacy and security of sensitive information. By utilizing advanced algorithms and the latest technology in synthetic data generation, Mostly AI allows organizations to create datasets that mimic real-world data without exposing any personal or confidential information. This capability not only enhances data accessibility but also fosters innovation in analytics and artificial intelligence (AI) applications. The platform is built to empower teams across various industries to leverage data for insights while maintaining compliance with privacy regulations such as GDPR and HIPAA. At the heart of Mostly AI's technology is the Synthetic Data SDK, which enables users to generate synthetic datasets tailored to their specific needs. This SDK is powered by the industry-leading TabularARGN model architecture, providing users with the ability to create high-fidelity synthetic data at an unprecedented speed. The built-in differential privacy features ensure that while the data is useful for analysis and training machine learning models, it remains secure and compliant with privacy standards. This combination of performance and security makes Mostly AI a go-to solution for organizations that require both data-driven insights and stringent privacy measures. The benefits of using Mostly AI extend beyond just data generation; they encompass a wide range of use cases that facilitate AI innovation and decision-making. For instance, organizations can utilize synthetic data for training machine learning models, conducting thorough quality assurance testing, and even running simulations to predict future outcomes. By generating realistic data that reflects the complexities of real-world scenarios, Mostly AI allows businesses to make informed decisions based on accurate insights, ultimately driving better business outcomes. Moreover, Mostly AI supports collaboration across teams by enabling the safe sharing of synthetic datasets. This feature is particularly valuable for organizations that operate in regulated industries where data sharing is often hindered by privacy concerns. With Mostly AI, teams can work with high-quality synthetic data without the risk of compromising sensitive information, thus enhancing collaboration and accelerating project timelines. As a result, organizations can foster a culture of data-driven decision-making and innovation, leading to improved operational efficiency and competitive advantage. In summary, Mostly AI stands out as a leader in the synthetic data generation space, combining advanced technology with a commitment to privacy and security. Its platform not only democratizes access to data but also empowers organizations to harness the full potential of their data assets while adhering to privacy regulations. As businesses continue to recognize the importance of data in driving innovation and growth, Mostly AI is poised to play a crucial role in shaping the future of data analytics and artificial intelligence.

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Mostly AI Key Features

Synthetic Data Generation

Mostly AI's platform generates high-fidelity synthetic data that closely mimics real-world datasets while ensuring privacy. This feature allows organizations to safely analyze and share data without exposing sensitive information, thus facilitating compliance with data protection regulations.

AI Assistant

The AI Assistant provides an AI-native workspace for persistent data analysis and collaboration. It enables users to leverage natural language processing to create and run Python code, simplifying complex data analysis tasks and enhancing productivity.

Mock Data Creation

Mostly AI offers tools to generate realistic, production-like test data. This feature is ideal for development, prototyping, and quality assurance testing in environments where access to actual production data is restricted.

Simulated Data Modeling

With simulated data modeling, users can create data-driven simulations to predict outcomes and model edge cases. This feature is crucial for stress testing strategies and validating assumptions in a controlled, risk-free environment.

Privacy and Security

Mostly AI ensures data privacy and security by integrating differential privacy into its synthetic data generation process. This approach protects sensitive information while allowing data to be shared and analyzed securely.

Synthetic Data SDK

The Synthetic Data SDK allows users to create synthetic data within their own environments, ensuring full control over their data. It supports complex tabular and textual datasets and offers advanced sampling and fast training capabilities.

Enterprise Integration

Mostly AI supports scalable and secure deployment on platforms like Kubernetes and OpenShift, making it suitable for enterprise environments. It facilitates seamless integration with existing data infrastructure, enhancing data accessibility and collaboration.

Data Sharing Capabilities

The platform enables organizations to share high-quality synthetic data across teams and partners globally. This feature supports collaboration and innovation by breaking down data silos and increasing data accessibility.

Mostly AI Pricing Plans (2026)

Basic Tier

$99/month /monthly
  • Access to Synthetic Data SDK
  • Basic support
  • Limited data generation capabilities
  • Limited to 100,000 records per month

Professional Tier

$499/month /monthly
  • Enhanced data generation features
  • Priority support
  • Access to AI Assistant
  • Limited to 1 million records per month

Enterprise Tier

Custom pricing /yearly
  • Unlimited data generation
  • Dedicated support
  • Custom integration options
  • Pricing varies based on specific requirements

Mostly AI Pros

  • + Enables safe data sharing across teams and partners without exposing sensitive information.
  • + Accelerates AI model training by providing high-quality synthetic datasets tailored to specific needs.
  • + Facilitates compliance with privacy regulations such as GDPR and HIPAA through differential privacy features.
  • + Supports various use cases, including data analysis, testing, and simulations, enhancing operational efficiency.
  • + Offers a user-friendly interface and AI Assistant for intuitive data exploration and analysis.
  • + Provides robust integration capabilities with existing data platforms, streamlining workflows.

Mostly AI Cons

  • The initial setup and learning curve for the Synthetic Data SDK may be challenging for less technical users.
  • Some users may find the pricing structure less competitive compared to other data solutions.
  • Limited availability of pre-built datasets may require users to generate their own data from scratch.
  • The reliance on synthetic data may not fully replicate the nuances of real-world data in all scenarios.

Mostly AI Use Cases

AI/ML Development

Organizations use Mostly AI to generate synthetic training data for AI and machine learning models. This approach satisfies the data requirements of AI/ML projects without compromising data privacy.

Data Sharing

Mostly AI facilitates safe data sharing within and between organizations by providing privacy-safe synthetic datasets. This capability enhances collaboration and accelerates innovation across different teams and partners.

Testing and Quality Assurance

Development teams use Mostly AI to create synthetic copies of production data for testing and QA purposes. This ensures that testing environments are realistic and reliable, leading to higher quality software releases.

Data-Driven Simulations

Mostly AI's simulated data feature allows organizations to model future scenarios and test strategies in a risk-free environment. This is particularly useful for stress testing and validating business assumptions.

Compliance and Privacy

Organizations leverage Mostly AI to generate synthetic data that complies with data protection regulations. This ensures that sensitive data is not exposed while still enabling valuable data analysis and insights.

Customer Data Expansion

Companies like Swiss Post use Mostly AI to unlock more customer data by creating synthetic datasets that mirror the original data. This expands data accessibility from limited to full coverage while maintaining privacy.

What Makes Mostly AI Unique

High-Fidelity Synthetic Data

Mostly AI's ability to generate synthetic data that closely mimics real-world datasets sets it apart from competitors, providing realistic data for analysis and AI training.

Privacy-First Approach

The platform's integration of differential privacy into its synthetic data generation process ensures that sensitive information is protected, differentiating it from other data solutions.

Comprehensive SDK

The Synthetic Data SDK allows users to generate data within their own environments, offering flexibility and control that many competitors lack.

Seamless Enterprise Integration

Mostly AI's support for scalable deployment on platforms like Kubernetes and OpenShift makes it uniquely suited for enterprise environments, facilitating integration with existing systems.

Who's Using Mostly AI

Enterprise Teams

Enterprise teams use Mostly AI to generate synthetic data for large-scale AI and machine learning projects. The platform's integration capabilities and privacy features are particularly valuable for these users.

Data Scientists

Data scientists utilize Mostly AI to create synthetic datasets for model training and testing. The platform's ability to mimic real-world data while preserving privacy is crucial for their analytical work.

Software Developers

Developers use Mostly AI to generate mock data for testing and QA. This allows them to work in realistic environments without accessing sensitive production data, enhancing software reliability.

Compliance Officers

Compliance officers rely on Mostly AI to ensure that data sharing and analysis practices adhere to privacy regulations. The platform's synthetic data capabilities help them maintain compliance while enabling data-driven decision-making.

How We Rate Mostly AI

8.2
Overall Score
Overall, Mostly AI excels in providing a powerful synthetic data solution that balances functionality, privacy, and usability.
Ease of Use
7.2
Value for Money
8.4
Performance
8.9
Support
8.6
Accuracy & Reliability
8.5
Privacy & Security
7.4
Features
9.2
Integrations
8.2
Customization
7.1

Mostly AI vs Competitors

Mostly AI vs Hazy

Hazy and Mostly AI both focus on synthetic data generation, but Mostly AI offers a more comprehensive SDK and a wider range of features for data analysis and collaboration.

Advantages
  • + Higher quality synthetic data generation
  • + More robust integration capabilities
Considerations
  • Hazy may excel in ease of use for non-technical users

Mostly AI vs Synthetic Data Vault

While both platforms provide synthetic data solutions, Mostly AI's focus on privacy-preserving analytics and its AI Assistant gives it an edge in usability and functionality.

Advantages
  • + Better privacy features
  • + More advanced data simulation capabilities
Considerations
  • Synthetic Data Vault may offer a more straightforward pricing model

Mostly AI vs Tonic.ai

Tonic.ai focuses on data anonymization, whereas Mostly AI emphasizes generating high-quality synthetic data with built-in privacy measures.

Advantages
  • + Superior synthetic data quality
  • + More flexible data generation options
Considerations
  • Tonic.ai may have a simpler setup process for basic anonymization tasks

Mostly AI vs DataRobot

DataRobot is primarily an AI platform, while Mostly AI specializes in synthetic data generation, offering unique features tailored for data privacy.

Advantages
  • + Focused on synthetic data generation
  • + More privacy-centric features
Considerations
  • DataRobot may provide more comprehensive AI tools

Mostly AI vs Synthea

Synthea generates synthetic patient data specifically for healthcare, while Mostly AI offers a broader range of synthetic data applications across various industries.

Advantages
  • + Broader applicability across industries
  • + More advanced technology for data generation
Considerations
  • Synthea may offer more specialized healthcare data solutions

Mostly AI Frequently Asked Questions (2026)

What is Mostly AI?

Mostly AI is a platform that generates high-quality synthetic data to enable privacy-preserving analytics and insights.

How much does Mostly AI cost in 2026?

Pricing details are available on the Mostly AI website, with various tiers to accommodate different organizational needs.

Is Mostly AI free?

Mostly AI offers a free tier for users to explore its capabilities, with additional features available in paid plans.

Is Mostly AI worth it?

Yes, Mostly AI provides significant value by enabling organizations to leverage synthetic data while ensuring compliance with privacy regulations.

Mostly AI vs alternatives?

Compared to alternatives, Mostly AI offers superior synthetic data generation capabilities with a focus on privacy and usability.

How does Mostly AI ensure data privacy?

Mostly AI employs differential privacy techniques to protect sensitive information while generating synthetic datasets.

Can I generate synthetic data in my environment?

Yes, Mostly AI's Synthetic Data SDK allows users to generate data locally within their own secure environments.

What industries can benefit from Mostly AI?

Industries such as healthcare, finance, and retail can benefit from Mostly AI's synthetic data solutions for compliance and innovation.

Does Mostly AI support collaboration?

Yes, teams can collaborate on shared synthetic datasets, enhancing teamwork and data-driven decision-making.

What types of data can I generate?

Mostly AI supports the generation of both structured and unstructured data, including text and numerical datasets.

Mostly AI Search Interest

43
/ 100
↑ Rising

Search interest over past 12 months (Google Trends) • Updated 2/2/2026

Mostly AI on Hacker News

3
Stories
145
Points
66
Comments

Mostly AI Company

Founded
2017
9.1+ years active

Mostly AI Quick Info

Pricing
Freemium
Upvotes
0
Added
January 18, 2026

Mostly AI Is Best For

  • Data scientists
  • Software developers
  • Compliance officers
  • Business analysts
  • Product managers

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