Best Synthetic Data Tools with Unstructured Data Capabilities

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 Analyti

Our mission is to enable developers to safely and quickly experiment, collaborate, and build with data.

KopiKat is a generative image data augmentation tool that helps improve AI model accuracy without changing the network architecture. It creates a new photorealistic copy of the original image while p

Syntheticus® is a technology company founded in 2021 and headquartered in Zürich, Switzerland. We are at the forefront of innovation and research in Privacy-Enhancing Technologies, working in collabor

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

Synthesis AI is a pioneering synthetic data technology which builds more capable AI

GenRocket is the technology leader in synthetic data generation for quality engineering and machine learning use cases. We call it Synthetic Test Data Automation (TDA) and it's the next generation of

Deep Vision Data specializes in the creation of synthetic training data for supervised and unsupervised training of machine learning systems such as deep neural networks, and also the development of X

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

Apply Synthesized Scientific Data Kit (SDK) to bootstrap data where the density of data is low, automatically rebalance data to improve model performance, and anonymize data for repurposing. Improved