Syntho
Syntho enables organizations to work safely and quickly with synthetic data. Its mission is to make privacy-preserving, production-like data available at scale so teams can innovate faster and with less risk.
At a Glance
- Healthcare and life sciences
- Financial services
- Government and public entities
- Manufacturing
- +3 more
AI Tools by Syntho
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Syntho
Synthetic Test Data Platform
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Latest News
Syntho acquired the MOSTLY AI brand and associated product; the brand continues as MOSTLY AI, powered by Syntho.
Syntho won the ITEA Award of Excellence for Business Impact for its IWISH healthcare project contribution.
Syntho and Evidencio announced progress on a synthetic-data and standardized validation pipeline for healthcare AI, integrated with Epic EHR.
Syntho joined the University of Amsterdam-led ELSA Lab AI for Fair Healthcare.
Products & Services
Self-hosted/on-premise all-in-one synthetic test-data management platform that combines AI-generated synthetic data, rule-based generation and synthetic data masking in one engine.
Privacy-preserving masking/de-identification that identifies sensitive data, substitutes it with realistic synthetic mock data and preserves referential integrity through consistent mapping.
Generates, enriches and transforms data from scratch or existing data using formulas, patterns, mockers, business rules and constraints, including subsetting.
Uses AI and statistical modeling to learn relationships and patterns in source data and generate new, privacy-preserving data that functions as a synthetic data twin.
Market Position
Syntho positions itself as an all-in-one synthetic test-data platform combining AI-generated synthetic data, rule-based generation and synthetic data masking, rather than requiring separate tools for different privacy and test-data requirements. It emphasizes self-hosted deployment, privacy-by-design, production-like output, referential integrity and transparent fixed-fee pricing. Relevant competitors in synthetic data and test-data management include MOSTLY AI, Tonic.ai, Gretel and Datagen; Syntho's 2026 acquisition of the MOSTLY AI brand materially broadens its position in the category.
Leadership
Founders
Wim Kees Janssen
Co-founder and CEO; background in economics, finance and investments, with experience in product development (including software) and strategy.
Simon Brouwer
Co-founder and CTO; background in AI and machine learning, and experience as a data scientist working with large amounts of data across companies.
Marijn Vonk
Co-founder and Chief Product Officer; background in computing science, industrial engineering and finance, with prior consulting work in cybersecurity and data analytics.
Executive Team
Wim Kees Janssen
Chief Executive Officer
Background in economics, finance and investments; experience in software/product development and strategy.
Simon Brouwer
Chief Technology Officer
AI and machine-learning background; previously worked as a data scientist with large datasets across multiple companies.
Founding Story
Founded in January 2020 by three friends who met at the University of Groningen, Syntho was started to address the conflict between organizations' need to use data and privacy regulations and other barriers that restrict access to real-world data. The founders set out to provide AI software that generates representative synthetic data without exposing individual records, enabling faster innovation and data access.
Business Model
Revenue Model
License-based B2B software sold with feature-based pricing. Syntho generally starts with a one-year license agreement; deployments are self-hosted/on-premise, with fixed deployment packages and no consumption-based fees. Additional deployments can incur extra costs.
Pricing Tiers
Syntho Engine self-hosted/on-premise; 200+ mockers, rule-based synthetic data, sensitivity scanner, consistent mapping, subsetting, AI-generated synthetic data and upsampling; 1-5 database connections and 1-2 connector types; small implementation package.
Includes all current features, 6-10 database connections, 1-5 connector types, UI languages and QA Report; medium implementation package.
Includes all current and future features, 11-15 database connections, 1-8 connector types and additional connections/types on request; large implementation package.
Target Markets
- Healthcare and life sciences
- Financial services
- Government and public entities
- Manufacturing
- Technology companies and software development teams
- Large and mid-sized enterprises, startups and scaleups
- Production-like software testing and development
- Product and feature development, prototyping and edge-case generation
- Tailored product demonstrations
- Secure internal and external data sharing
- Analytics and AI/ML modeling, sandboxing and proof-of-concepts
- Healthcare research and clinical AI validation
- Philips
- KPN
- Nederlandse Spoorwegen
- SAS