Explore the best alternatives to MOSTLY AI Synthetic Data Platform for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to MOSTLY AI Synthetic Data Platform include ease of use and reliability. The best overall MOSTLY AI Synthetic Data Platform alternative is Tonic.ai. Other similar apps like MOSTLY AI Synthetic Data Platform are GenRocket, Gretel.ai, IBM watsonx.ai, and Syntho. MOSTLY AI Synthetic Data Platform alternatives can be found in Synthetic Data Tools but may also be in Data Masking Software or Data Science and Machine Learning Platforms.
Tonic.ai is a synthetic data generator with one goal in mind: allowing you to make full use of your data, in full respect of your customers, collaborators, and the law. Our platform's data generation, de-identification, and subsetting tools help you streamline your workflows, decrease outages, and iterate faster without putting any real data at risk. Using pre-trained models and feature extraction, Tonic preserves the constraints, statistical correlations, distributions, and interdependencies that make your data unique. Accelerate your development cycle while advancing data security with synthetic data that looks, acts, and feels as real as its source.
GenRocket provides hundreds of intelligent data generators and dozens of database formats enabling testers to design and generate any variety of test data they need in any volume. Use GenRocket to maximize test coverage with complete control over generating test data for a variety of use cases, like positive and negative testing, specific boundary conditions and edge cases, data combinations and permutations, testing complex workflows with dynamic data, and new applications that have no data when introduced. It’s easy to integrate GenRocket’s Test Data Automation platform with all test automation tools and frameworks to accelerate the development and delivery of high-quality software in your CI/CD pipeline.
IBM Watsonx.ai is an advanced AI and machine learning platform designed to accelerate enterprise AI adoption, offering a comprehensive suite of tools for businesses to build, deploy, and scale AI applications. The product is part of IBM's broader Watsonx ecosystem, which aims to democratize AI by providing accessible, powerful solutions tailored for organizations of all sizes and industries.
Mask privacy sensitive information and generate synthetic test data to comply with privacy rules and regulations like GDPR, PCI and HIPAA.
Tumult Analytics is an open-source Python library making it easy and safe to use differential privacy; enabling organizations to safely release statistical summaries of sensitive data. Tumult Analytics is running in production at institutions such as the U.S. Census Bureau, the Wikimedia Foundation, and the Internal Revenue Service. It is easy to use, it can scale to datasets with billions of rows, it integrates with common data science tools, and it supports advanced features to maximize the value extracted from protected data.
Hazy generates smart synthetic data that's safe to use and actually works as a drop in replacement for real data science and analytics workloads
CA Test Data Manager uniquely combines elements of data subsetting, masking, synthetic, cloning and on-demand data generation to enable testing teams to meet the agile testing needs of their organization. This solution automates one of the most time-consuming and resource-intensive problems in Continuous Delivery: the creating, maintaining and provisioning of the test data needed to rigorously test evolving applications.
Elevating data and privacy in a world moving towards AI. Great experiences do not need to come at the expense of users' privacy and security. Rather, privacy and security can help support great experiences. We provide privacy and synthetic data tools.