If you are considering Syntheticus.ai | Synthetic Data Generator, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to Syntheticus.ai | Synthetic Data Generator include training and security. The best overall Syntheticus.ai | Synthetic Data Generator alternative is IBM watsonx.ai. Other similar apps like Syntheticus.ai | Synthetic Data Generator are Tumult Analytics, Tonic.ai, CA Test Data Manager, and K2View. Syntheticus.ai | Synthetic Data Generator alternatives can be found in Synthetic Data Tools but may also be in Data Science and Machine Learning Platforms or Data Masking Software.
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.
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.
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.
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.
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.
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.
Syntho provides deep learning software for generating synthetic data 'twins' which can be used and shared without privacy and GDPR concerns
Our mission is to enable developers to safely and quickly experiment, collaborate, and build with data.
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.
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 preserving all essential data annotations. It changes the environment of the original images, such as weather, seansons, lighting conditions to diversify datasets, which is important in areas such as object detection, neural network training, and transfer learning.