Syntho Press Kit
Find relevant information about Syntho and its team.
Introduction
About Syntho
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.
Syntho solves three main data access problems:
- AI-generated data for analytics: Mimic the statistical patterns, relationships, and characteristics of original data in synthetic data with the power of artificial intelligence (AI) algorithms. Clients may share synthetic data and use it for AI modeling.
- Smart de-identification: De-identification is a process used to protect sensitive information by removing or modifying personally identifiable information (PII) from a dataset or database.
- Test data management: Leverage synthetic data in a robust solution for ensuring data privacy, accuracy, and utility in testing environments. By generating realistic synthetic datasets, enables comprehensive testing while safeguarding sensitive information, accelerating development cycles, and optimizing resource allocation.
What we do: AI-Generated Synthetic Data at scale
Syntho, through its Syntho Engine, is the leading provider of Synthetic Data software and is committed to enable 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 winner of the prestigious Philips Innovation Award, Unesco’s Challenge at VivaTech and is listed as Generative AI startup “to watch” by NVIDIA. So, why use real data when you could use synthetic data?
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Syntho Founders
Marijn Vonk
Marijn has a background in computer science, industrial engineering and finance. He has worked as a consultant in the cybersecurity and data analytics field.
Wim Kees Janssen
Wim Kees has a background in economics, finance and investments and has experience in product development (including software) & strategy.
Simon Brouwer
Simon has a background in AI and machine learning. As a data scientist he worked with large amounts of data within a variety of companies.
Syntho team pictures
Data Privacy- A Key Driver for Success
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 population will have data privacy regulations in 2023, up from 10% today
Of training data for AI will be synthetically generated by 2024
Of customers trust their insurer to use their personal data
Of data for AI will be unlocked by privacy enhancing techniques
Of organizations have storage of personal data as biggest privacy risk
Of companies cite privacy as no. 1 barrier for AI implementation
Of privacy compliance tooling will rely on AI in 2023, up from 5% today
Sources:
- Predicts 2021: Data and Analytics Strategies to Govern, Scale and Transform Digital Business: Gartner 2020
- Preserving Privacy While Using Personal Data for AI Training: Gartner 2020
- The State of Privacy and Personal Data Protection 2020-2022: Gartner 2020
- 100 Data and Analytics Predictions Through 2024: Gartner 2020
- Cool Vendors in AI Core Technologies: Gartner 2020
- Hype Cycle for Privacy 2020: Gartner 2020
- 5 Areas Where AI Will Turbocharge Privacy Readiness: Gartner 2019
- Top 10 Strategic Technology Trends for 2019: Gartner, 2019
Philips Innovation Award 2020 Winner!
Watch our winning synthetic data pitch!
Data is synthetic, but our team is real!
Contact Syntho and one of our experts will get in touch with you at the speed of light to explore the value of synthetic data!