Best Synthetic Data Tools - Page 2

- Identifies PII (Personally Identifiable Information) and PHI (Personal Health Information) in corporate data stores (RDBMS, XML, JSON) - Helps de-identify the data so that accidental leak of PII, a

Subsalt creates synthetic data that satisfies the anonymized and de-identified data exemptions in major data privacy laws, so valuable data can be shared with internal teams, vendors, and partners wit

DATAMIMIC: Unleash the Power of AI in Model-Based Test Data Generation and Privacy Protection. Specializing in enterprise-grade test data creation and obfuscation, with enhanced handling of complex JS

MDClone offers an innovative, self-service data analytics environment powering exploration, discovery, and collaboration throughout the healthcare ecosystems, cross-institutionally, and globally. The

syntheticAIdata is your partner in creating synthetic data that enables you to craft diverse datasets effortlessly and at scale. Utilising our solution doesn’t just mean significant cost reductions; i

BENERATOR is a leading solution for generating synthetic data, anonymizing, and obfuscating production data, leveraging a model-driven approach for safe, GDPR-compliant use in development, testing, an

Data masking and synthetic data generation consistently across any supported databases or systems: Oracle, DB2, PostgreSQL, Microsoft SQL Server, MySQL, MariaDB and many more.

Enterprises around the world choose Perforce Delphix to automate compliant data for DevOps. The Delphix DevOps Data Platform provides integrated data masking and virtualization to rapidly deploy compl

An enterprise-ready platform to generate privacy-preserving synthetic data from structured data types. ✅ High utility and privacy guarantees ✅ Use the synthetic data as a drop-in replacement for any

TestINT (testINT.ai)  What is TestINT? TestINT is a “Data Augmentation and Testing” platform to make systems that utilize “Deep Learning” techniques more reliable. TestINT provides a compact platfor

ANYVERSE's computer-generated datasets offer the speed, scalability, and photorealistic visual accuracy needed by Machine Learning and Perception teams to rapidly progress to high-confidence artificia

CVEDIA develops robust and resilient computer vision algorithms using synthetic data. Our synthetic algorithms are developed in 2-4 weeks for scenarios where data collection isn't viable. CVEDIA is th

DataGen is creating Simulated Data solutions that are scalable, bias-free, and automatically annotated. We use hyper-photorealistic imagery and algorithms to generate high variance datasets that refle

To enable better computer vision development, LexSet has created TDaaS (Training Data as a Service), using 3D content to create photo-realistic synthetic data to train Vision AI models. The approach a

Neuromation is a Synthetic Data space building an AI Developer platform to build better models.