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MOSTLY AI

MOSTLY AI offers a data intelligence platform for generating, analyzing, and sharing privacy-safe synthetic data. It empowers data teams with secure access to production data, AI-powered insights through a natural language assistant, and collaboration tools, accelerating AI innovation and decision-making for individuals and enterprises.

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The MOSTLY AI Data Intelligence Platform, powered by Syntho, provides comprehensive data access and insights for everyone. It enables organizations to securely access and work with production data, generate high-quality, privacy-safe synthetic data, and seamlessly analyze and share data across teams. At its core, the platform features agentic data science, allowing it to accelerate AI innovation, streamline workflows, and drive smarter decision-making at scale.

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Users can surface insights from live production data sourced directly from enterprise systems or platforms like Databricks, enabling analysis of patterns, performance monitoring, and trend tracking. For scenarios with limited production data access, MOSTLY AI offers mock data generation for safe experimentation, prototyping, and testing. The platform excels in creating high-fidelity, privacy-safe synthetic datasets that mimic real data without exposing sensitive information, facilitating secure collaboration, model training, and data sharing.

Furthermore, MOSTLY AI supports simulated data for modeling edge cases, future scenarios, and what-if conditions. These simulations, based on real or synthetic data, are ideal for stress testing strategies and validating assumptions. The platform is built for everyone, from individuals to enterprise organizations, offering secure connections to data within your environment and running on your compute. Its AI Assistant allows users to generate and run Python code and analyze data using simple natural language. Teamwork is simplified through organized management and collaboration on shared assets. The platform is enterprise-ready, scalable, and securely deployable on Kubernetes or OpenShift, enabling global data sharing.

For developers, the Synthetic Data SDK, powered by the TabularARGN model architecture, offers high-fidelity synthetic data generation with built-in differential privacy, faster training, advanced sampling, and support for complex tabular and textual datasets. This open-source project, available under an Apache v2 license, allows users to create synthetic data locally within their Python environment, ensuring full data control. Generators can be exported and uploaded to the MOSTLY AI Data Intelligence Platform for exploration and sharing.

  • CategoryAI Privacy Tools
  • DeploymentKubernetes, OpenShift
  • PlatformsWeb

  • Generate privacy-safe synthetic data

  • Analyze production data securely

  • AI Assistant for natural language data analysis

  • Mock data generation for testing and prototyping

  • Simulated data for scenario modeling

  • Synthetic Data SDK for local generation

  • Team collaboration and asset management

  • Enterprise-ready deployment on Kubernetes/OpenShift

  • Differential privacy in synthetic data generation

  • Support for complex tabular and textual datasets

  • Open-source SDK under Apache v2 license

  • Data sharing capabilities

  • Agentic data science at its core

  1. Connect to your data source

  2. Generate synthetic data using the platform or SDK

  3. Analyze data with the AI Assistant

  4. Collaborate on data assets with your team

  5. Share privacy-safe synthetic data globally

  6. Deploy on your secure environment

  • Synthetic Data Generation
  • Data Analysis
  • AI/ML Development
  • Testing and QA
  • Data Sharing
  • Scenario Modeling
  • Broadening Data Access

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