MOSTLY AI
MOSTLY AI is a platform that generates high-fidelity, privacy-safe synthetic data for AI training, testing, and analytics. It uses generative AI to create datasets that mirror real data’s statistical properties without exposing sensitive information. The platform supports structured data, like tabular records, and unstructured text, such as emails, making it versatile for various industries.
The Generator feature trains AI models on original data to produce synthetic datasets, preserving patterns and correlations. The Synthetic Text tool generates question-answer pairs or other text-based outputs for training language models. Smart imputation addresses missing data by filling gaps with contextually relevant values. The platform integrates with cloud platforms like Snowflake, Databricks, and AWS, and supports relational databases through connectors for MySQL, PostgreSQL, and others. It ensures referential integrity for multi-table datasets, critical for applications like customer journey analysis.
Pricing includes a free tier with up to five daily credits, suitable for small-scale use, and enterprise plans for larger needs, comparable to competitors like Gretel and Tonic AI. The platform’s UI is intuitive, but initial setup for connectors can be complex. It excels in automated data generation but may lack flexibility for highly customized workflows compared to Gretel. Quality assurance reports provide detailed insights into synthetic data accuracy, often scoring above 95% in tests.
MOSTLY AI supports industries like finance, healthcare, and telecom, where privacy is critical. Its open-source SDK, under an Apache v2 license, allows local data generation for advanced users. The platform’s automation reduces manual effort, but users with niche databases may face integration challenges.
To get started, try the free tier with demo datasets. Check the quality reports to ensure the output meets your needs. Explore the SDK for local control if you’re a developer, and reach out to their support for setup guidance.
Video Overview ▶️
What are the key features? ⭐
- Generator: Trains AI models to create privacy-safe synthetic datasets.
- Synthetic Text: Generates question-answer pairs from proprietary text.
- Smart Imputation: Fills missing data with contextually relevant values.
- Connectors: Integrates with databases like Snowflake and PostgreSQL.
- Quality Reports: Provides accuracy metrics for synthetic data output.
Who is it for? 🤔
Examples of what you can use it for 💭
- Data Scientist: Uses MOSTLY AI to generate synthetic datasets for machine learning model training.
- QA Engineer: Creates realistic test data for software testing without privacy risks.
- Business Analyst: Analyzes synthetic customer data to identify trends securely.
- Developer: Leverages the SDK to generate synthetic data locally for prototyping.
- Compliance Officer: Ensures data privacy by using synthetic data for audits.
Pros & Cons ⚖️
- High-fidelity synthetic data output
- Intuitive web-based UI
- Free tier for small-scale use
- Complex initial setup
