The Synthetic Data Tools solutions below are the most common alternatives that users and reviewers compare with AI vision. Other important factors to consider when researching alternatives to AI vision include ease of use and reliability. The best overall AI vision alternative is IBM watsonx.ai. Other similar apps like AI vision are Tumult Analytics, Tonic.ai, CA Test Data Manager, and K2View. AI vision alternatives can be found in Synthetic Data Tools but may also be in Data Science and Machine Learning Platforms or Data Masking Software.
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.
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.
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.