Syntho Acquires MOSTLY AI Brand

News

June 9, 2026

Amsterdam, June 9, 2026 – Syntho, a leading provider of synthetic data solutions, today announced the acquisition of the MOSTLY AI Brand. Going forward, the MOSTLY AI brand will continue under the name “MOSTLY AI, powered by Syntho.”

This acquisition strengthens Syntho’s position as leading solution provider in the rapidly growing synthetic data market and reinforces its commitment to making representative synthetic data accessible for organizations worldwide.

— Wim Kees Janssen, Syntho

“MOSTLY AI has built one of the most recognized brands in the synthetic data industry. We are excited to bring this strong brand into the Syntho ecosystem and further strengthen our position as a leading provider of synthetic data solutions worldwide.”

— Tobias Hann, MOSTLY AI

“We are pleased to see our MOSTLY AI brand finding a home with Syntho. We have full confidence in the Syntho team to carry forward this journey and further advance the adoption of synthetic data.”

Syntho acquires MOSTLY AI trademark and related assets

How Syntho differentiates: All Synthetic Data Approaches in One Platform

There is no single synthetic data generation method which fits every use case. The optimal approach depends on the specific business objective, data landscape, protection requirements, and technical constraints.

Syntho’s vision is to provide a unified platform that combines multiple synthetic data generation methods, enabling organizations to select the best method, or combination of methods, for every use case.

The supported solutions include:

AI-Generated Synthetic Data: generate highly realistic datasets that maintain the statistical characteristics of production data while protecting sensitive information.
Synthetic Data Masking: automatically identify and replace sensitive information with realistic and consistent synthetic values across databases and applications.
Rule-Based Synthetic Data: generate, simulate, and enrich data from scratch using custom business rules, patterns, and logic tailored to specific requirements.

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Syntho Focus: Bringing Synthetic Data to Production and Realizing Business Value

Organizations increasingly face challenges when working with real-world data, it is often sensitive, unavailable, or time-consuming to work with. Synthetic data addresses these challenges by enabling organizations to generate realistic synthetic data.

Syntho’s focus is on guiding organizations to move beyond synthetic data proofs of concept, pilots, and research initiatives to successfully deploy synthetic data in production environments to realize business value.

Typical use cases include:

Realistic Test Data: Improve software quality with production-like test datasets, reduce defects in production environments, accelerate development cycles, and increase customer satisfaction.
Representative Demo Data: Create realistic, privacy-safe demonstration environments that improve customer engagement, strengthen first impressions, and increase conversion rates.
Faster and Easier Data Access: Enable secure and efficient data sharing across teams, partners, and external stakeholders while maintaining compliance with privacy regulations.