GenRocket is not the only option for Synthetic Data Tools. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to GenRocket include features. The best overall GenRocket alternative is Tonic.ai. Other similar apps like GenRocket are MOSTLY AI Synthetic Data Platform, IBM watsonx.ai, CA Test Data Manager, and K2View. GenRocket alternatives can be found in Synthetic Data Tools but may also be in Data Masking Software or Large Language Model Operationalization (LLMOps) Software.
Tonic.ai frees developers to build with safe, high-fidelity synthetic data to accelerate software and AI innovation while protecting data privacy. Through industry-leading solutions for data synthesis, de-identification, and subsetting, our products enable on-demand access to realistic structured, semi-structured, and unstructured data for software development, testing, and AI model training. The product suite includes: - Tonic Fabricate for AI-powered synthetic data from scratch - Tonic Structural for modern test data management - Tonic Textual for unstructured data redaction and synthesis. Unblock innovation, eliminate collisions in testing, accelerate your engineering velocity, and ship better products, all while safeguarding data privacy.
MOSTLY GENERATE is an enterprise-grade Synthetic Data Platform that preserves significantly more information and data value than any other data anonymization technique on the market. It enables you to overcome the barriers to AI and Big Data adoption. All while securely protecting your customers’ privacy.
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.
K2View is an end-to-end solution that delivers the data speed and agility the digital world demands, while working seamlessly within the complex technology environments of large enterprises.
Syntho provides deep learning software for generating synthetic data 'twins' which can be used and shared without privacy and GDPR concerns
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.
MDClone's Synthetic Data solution empowers healthcare organizations to securely access and share patient data by generating non-reversible, artificially created datasets that replicate the statistical characteristics of real-world data. This approach ensures patient privacy while maintaining data utility, facilitating faster research, operational improvements, and enhanced patient outcomes. Key Features and Functionality: - Instant Data Access: Eliminates the need for Institutional Review Board approvals, allowing immediate data utilization. - Dynamic Exploration: Enables users to explore data freely and adaptively without restrictions. - Privacy Protection: Ensures patient confidentiality by preventing re-identification through synthetic data generation. - Global Collaboration: Facilitates secure data sharing across internal and external entities worldwide. - Seamless Integration: Allows users to switch between synthetic and original data for validation and publication purposes. Primary Value and Problem Solved: MDClone's Synthetic Data solution addresses the challenges of balancing patient privacy with the need for data accessibility in healthcare. By providing a secure method to generate and share synthetic datasets, it removes barriers related to legal, compliance, and security issues, enabling healthcare professionals to conduct research, evaluate operations, and implement improvements more efficiently. This leads to accelerated innovation, cost savings, and better patient care.
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.
Mask privacy sensitive information and generate synthetic test data to comply with privacy rules and regulations like GDPR, PCI and HIPAA.