These solutions identify key patterns in tabular datasets, such as patient health records or customer purchasing history, to generate anonymous synthetic datasets that retain the critical properties of the original data.
Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.
Claim your CB Insights ProfileLeaders are the most established service providers in the market and possess the breadth to address various customer needs.
See why these companies made it as leaders for Synthetic Data. These companies include Facteus.
United States / Founded Year: 2010
Facteus is a provider of actionable insights from financial data. Through its synthetic data process, Facteus safely transforms raw financial transaction data from legacy technologies into actionable information, which can be used for machine learning, artificial intelligence, data monetization, and other strategic use cases, without compromising data privacy. The company’s data products have been gathered directly from over 1,000 financial institutions, payment companies, fintechs, and payment card programs, giving business and investment executives access to the “truth” of actual consumer financial transactions, not just general trends.
Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.
See why these companies made it as highfliers for Synthetic Data. These companies include Mostly AI and Tonic.
Austria / Founded Year: 2017
Mostly AI develops and offers a synthetic data engine that provides organizations the ability to generate realistic and representative synthetic users and data, retaining structure and variation while preserving privacy.
Michael Platzer, Klaudius Kalcher, Tobias Hann, and 2 more
United States / Founded Year: 2018
Tonic automatically creates mock data that preserves characteristics of secure datasets so that developers, data scientists, and salespeople can work without breaching privacy.
Andrew Colombi, Ian Coe, Karl Hanson
Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.
See why these companies made it as outperformers for Synthetic Data. These companies include Sarus.
France / Founded Year: 2019
Sarus aims to help enterprises leverage their most sensitive data assets for analytics and AI applications. Sarus uses AI to extract the full value from any sensitive data using the highest level of data protection. The company was founded in 2019 and is based in Paris, France.
Maxime Agostini, Vincent Lepage
Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.
See why these companies made it as challengers for Synthetic Data. These companies include .
These solutions identify key patterns in tabular datasets, such as patient health records or customer purchasing history, to generate anonymous synthetic datasets that retain the critical properties of the original data.
Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.
Claim your CB Insights Profile