MOSTLY AI

Description

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.

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.

MOSTLY AI's Core Features

• 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

How to use MOSTLY AI?

1. 1

   Connect to your data source

2. 2

   Generate synthetic data using the platform or SDK

3. 3

   Analyze data with the AI Assistant

4. 4

   Collaborate on data assets with your team

5. 5

   Share privacy-safe synthetic data globally

6. 6

   Deploy on your secure environment

MOSTLY AI's Use Cases

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

FAQ from MOSTLY AI

• What is MOSTLY AI powered by Syntho?

  MOSTLY AI powered by Syntho is a data intelligence platform that enables users to securely access production data, generate privacy-safe synthetic data, and analyze data for insights. It aims to make data accessible and actionable for everyone.

• How does MOSTLY AI ensure data privacy?

  MOSTLY AI generates high-fidelity, privacy-safe synthetic datasets that mimic real data without exposing sensitive information. The Synthetic Data SDK also offers built-in differential privacy for local data generation.

• Can I use MOSTLY AI with my existing data infrastructure?

  Yes, you can connect to your data within your secure environment and run the platform on your compute. It supports data sources like Databricks and can be deployed on Kubernetes or OpenShift.

• What is the benefit of synthetic data?

  Synthetic data allows for safe experimentation, prototyping, testing, model training, and data sharing without exposing sensitive real-world information. It broadens data access across an organization.

• Who is the target audience for MOSTLY AI?

  MOSTLY AI is built for everyone, including individuals, teams, and enterprise organizations looking to leverage data for AI innovation and smarter decision-making.

• Does MOSTLY AI offer an SDK?

  Yes, MOSTLY AI provides an open-source Synthetic Data SDK that allows users to generate high-fidelity synthetic data locally within their Python environment.

• How does the AI Assistant work?

  The AI Assistant allows users to create and run Python code and analyze their data using simple natural language prompts.

• What types of data can be generated?

  MOSTLY AI can generate structured and text-based mock data, as well as high-fidelity synthetic data that mimics real datasets. The SDK supports complex tabular and textual datasets.

• Is the platform suitable for enterprise use?

  Yes, the platform is enterprise-ready, scalable, and offers secure deployment options on Kubernetes or OpenShift, along with features for global data sharing.

• What is agentic data science in the context of MOSTLY AI?

  Agentic data science at the core of the platform enables automated workflows and intelligent data handling to accelerate AI innovation and decision-making.