As of August 2026, Latka tracks 16 synthetic data software companies with $1M–$5M in annual revenue. They have combined revenues of $41.6M and employ 424 people. They have raised $101.1M and serve 10K customers combined.
Every company below sells synthetic data software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Synthetic data software provides tools that generate artificial datasets which mimic real-world data. These datasets can be used for development, testing, and training machine learning models while ensuring privacy and compliance with data protection regulations. The primary use cases include software testing, model training, and data analysis where maintaining confidentiality is paramount. These tools typically offer features such as data generation, data masking, and customization options to create datasets that resemble original data patterns. Common buyer personas for synthetic data software include software developers, data scientists, compliance officers, and IT managers who require secure, scalable solutions to maintain data integrity without sacrificing privacy.
Sorting: Highest -> Lowest
Showing 10 of 16 companies ranked by annual revenue.
Santa Clara, California, United States
An Artificially Intelligent, humanly impossible, previously unsolvable, hyper-accurate approach to comply with data privacy compliance and prevent synthetic fraud losses.
New York, New York, United States
DemystData - Mobilizing the world's data to unlock financial services. Serve new segments of customers by harnessing a universe of data.
New York, NY, United States
At Narrative, we revolutionize data collaboration by providing an AI-driven, privacy-centric platform designed for seamless interoperability. Our innovative solutions empower businesses to easily design and execute collaborative data strategies, ensuring control over data governance and commercial terms. With advanced features like automated data standardization, robust security measures, and modular scalability, we simplify the complexities of data aggregation, filtering, and transaction automation. Join us in transforming how data is managed and utilized, enabling smarter decisions and driving growth. Discover the Narrative difference—where data collaboration meets unparalleled efficiency and security.
San Mateo, California, United States
At Duality, we are building Falcon — the Digital Twin Simulation Platform for solving real-world problems.
Mountain View, California, United States
We help Salesforce users identify and resolve data quality issues using a comprehensive AI-enabled Data Quality Platform. We will start with with a complimentary Data Quality Assessment that uses AI to identify data quality issues across 7 key dimensions. Then, we will meet with you to for an in depth discussion regarding the data quality issues our AI-enabled platform discovered and then clean your Salesforce data with ActivePrime AI-enabled CleanData. ActivePrime’s AI-enabled CleanData automates and streamlines the process of data cleanup. There is even an ActivePrime Search Before Create function to catch data errors before they are entered. The data will continually be cleaned as it’s always on and running! Need to run simulations? ActivePrime uses AI to generate synthetic data that mimics your real data. Request a complimentary Data Quality Assessment today! Send us a message or visit our website!
Seattle, Washington, United States
Developer of data privacy automated software solution intended to provide privacy and synthetic data tools. The company offers flexible and easy to use Artificial Intelligent based system, generates a user-defined size dataset with preserving the original data statistics but ensuring users privacy and data generated is fully GDPR (General Data Protection Regulation) compliant as well as with other regulative frameworks, enabling clients to an acceleration of business insights extraction and unlocking the data sharing between organizations.
London, England, United Kingdom
Developer of a SaaS based data anonymization platform designed to share data securely across the Web or multiple devices. The company's platform combines artificial intelligence to share data securely and automatically and anonymizes personal information to identify and intelligently replace personally identifiable information in evolving datasets, enabling data-centric businesses to share valuable data while protecting privacy of personal information at the same time.
United States
Bitfount is a federated privacy-preserving platform for AI and data collaboration. Use cases range from discovering and evaluating third-party datasets, to running data consortia, training advanced AI models, and much more.
Latka tracks 16 synthetic data software companies with $1M–$5M in annual revenue. Together they generate $41.6M in annual revenue and employ 424 people.
Data Safeguard Inc. is the largest, with $4.7M in annual revenue, founded in 2021.
The average synthetic data software company in this list makes $2.6M a year, across 16 companies with reported revenue. They serve 10K customers combined.
Ranked by annual revenue, the leaders are Data Safeguard Inc., DemystData, Narrative I/O, Inc., Duality AI and brighter AI.
The 16 synthetic data software companies with $1M–$5M in annual revenue tracked here have raised $101.1M in disclosed funding between them.
- The software must generate synthetic datasets that replicate the structure and characteristics of real data. - It should provide capabilities for data masking and privacy preservation. - The platform should support various data types including structured data, images, and text. - Tools must allow customization to suit different development and testing requirements. - Solutions should integrate easily with existing development and data science workflows. - Not just a data augmentation tool; it must also create entirely synthetic datasets suitable for training and testing.
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