Find relevant information about Syntho and their team
Founded in 2020, Syntho is an Amsterdam-based company revolutionizing the tech industry with AI-generated synthetic data. As the leading provider of synthetic data software, Syntho’s mission is to empower businesses worldwide to generate and leverage high-quality Synthetic Data at scale through our 3 main solutions:
Test Data Management
De-Identification & Synthetization
Comprehensive Testing with Representative Date.
Rule-Based Synthetic Data
Simulate Real-World Scenarios.
Subsetting
Create Manageable Date Subsets.
Data Masking
PII Scanner
Identify PII automatically with our AI-powered PII Scanner.
Synthetic Mock Data
Substitute sensitive PII, PHI, and other identifiers.
Consistent Mapping
Preserve referential integrity in an entire relational data ecosystem.
AI-Generated Synthetic Data
Quality Assurance Report
Assess generated synthetic data on accuracy, privacy, and speed.
Time Series Synthetic Data
Synthesize time-series data accurately with Syntho.
Upsampling
Increase the number of data samples in a dataset.
Syntho, through its Syntho Engine, is the leading provider of Synthetic Data software and is committed to enabling businesses worldwide to generate and utilize high-quality Synthetic Data at scale. By making privacy-sensitive data more accessible and more rapidly available, Syntho enables organizations to accelerate the adoption of data-driven innovation. Accordingly, Syntho is the winner of the prestigious Philips Innovation Award, Unesco’s Challenge at VivaTech, and is listed as a Generative AI startup “to watch” by NVIDIA. So, why use real data when you could use synthetic data?
Marijn has a background in computing science, industrial engineering and finance and been working as a consultant in fields of cyber security and data analytics.
Wim Kees has a background in economics, finance and investments and has experience in product development (including software) & strategy.
Simon has an education in artificial intelligence and experience in machine learning. As a data scientist he worked with large amounts of data within a variety of companies.
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More compliance costs for companies that lack privacy protection
More profits for companies that earn and maintain digital trust with customers
Increase in industry collaborations expected with use of privacy tools
Of breaches exposed PII, including customer emails and home addresses
Of training data for AI will be synthetically generated by 2024
Is the cost reduction in breaches when companies use AI
Unlock data access, accelerate development, and enhance data privacy.
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