Healthcare & Life Sciences / Health Data & Analytics

Best Synthetic Patient Data Platforms Companies

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What is Synthetic Patient Data Platforms?

The synthetic patient data platforms market offers artificially generated data intended to imitate real patient information. Healthcare organizations can use synthetic patient data to overcome challenges related to data privacy, security, and limited access to real patient data. Synthetic patient data provides a safe and compliant alternative for testing, research, and training purposes while preserving patient privacy. It allows for the development and validation of healthcare technologies, machine learning algorithms, and predictive models without needing to rely exclusively on sensitive patient information.

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Top Synthetic Patient Data Platforms Companies

Aetion logo
Aetion

United States / Founded Year: 2012

Aetion provides real-world evidence solutions within the healthcare sector. The company offers software and services that analyze real-world data to provide insights on the safety, effectiveness, and value of medical treatments and technologies. Its clientele includes biopharma companies and government agencies to inform health care decisions and guide product development. It was founded in 2012 and is based in New York, New York. In May 2025, Aetion was acquired by Datavant.

Known Partners

U.S. Food and Drug Administration, COTA, TREAT-NMD, and 2 more

Key People

Sebastian Schneeweiss, Jeremy Rassen, Kevin Riley, and 2 more

Gretel logo
Gretel

United States / Founded Year: 0000

Gretel provides a synthetic data platform for artificial intelligence (AI) applications across various industries. The company generates synthetic datasets, transforms data quality, and supports the training of AI models while maintaining privacy. Gretel serves sectors that require data privacy and security, including finance, healthcare, and the public sector. It was founded in 2020 and is based in San Diego, California. In March 2025, Gretel was acquired by NVIDIA.

Known Partners

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Key People

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Segmed logo
Segmed

United States / Founded Year: 0000

Segmed focuses on the aggregation, de-identification, and standardization of medical imaging data in the healthcare and artificial intelligence sectors. The company's main services include providing access to diverse, de-identified medical imaging data and enabling AI teams to work with this data for their research and development needs. Segmed primarily sells to the healthcare industry and the artificial intelligence industry. It was founded in 2019 and is based in Pao Alto, California.

Known Partners

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Known Customers

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Key People

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All Companies in Synthetic Patient Data Platforms

GenHealth AI logo
GenHealth AI

United States / Founded Year: 0000

GenHealth AI focuses on generative healthcare artificial intelligence, particularly in healthcare analytics and operational efficiency. The company provides applications that use its large medical model to offer insights into healthcare risk and cost prediction, automate administrative tasks like prior authorizations, and enable healthcare data analysis through a chatbot interface. GenHealth AI serves health insurance plans, providers, and health systems within the healthcare industry. It was founded in 2023 and is based in Vienna, Virginia.

Key People

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MDClone logo
MDClone

Israel / Founded Year: 0000

MDClone is a company that focuses on healthcare data analytics and synthetic data generation in the healthcare industry. Its offerings include a platform for healthcare data exploration, which organizations can use to gain insights from data. MDClone serves the health systems and life sciences sectors with its data solutions. It was founded in 2015 and is based in Beer-Sheva, Israel.

Known Partners

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Known Customers

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Key People

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Mostly AI logo
Mostly AI

Austria / Founded Year: 0000

Mostly AI specializes in creating synthetic data within the technology and data security sectors. The company offers a platform and an open-source Software Development Kit (SDK) that enables organizations to generate, analyze, and share synthetic data, allowing for data insights and collaboration. Mostly AI's solutions support applications such as machine learning (AI) machine learning (ML) model training, software testing, and data sharing, while addressing privacy regulations. It was founded in 2017 and is based in Vienna, Austria.

Known Partners

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Key People

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RYVER.AI logo
RYVER.AI

Germany / Founded Year: 0000

RYVER.AI generates synthetic medical images to support the radiology AI sector. The company provides pre-trained generative models that enable medical AI teams to create radiology images with annotations, reducing the time and cost associated with traditional data acquisition methods. RYVER.AI's technology is intended to enhance proprietary data and oversample underrepresented subgroups, increasing the diversity of training data used in the development of AI diagnostic models. It was founded in 2021 and is based in München, Germany.

Known Partners

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Key People

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Our Methodology

The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.

What is Synthetic Patient Data Platforms?

The synthetic patient data platforms market offers artificially generated data intended to imitate real patient information. Healthcare organizations can use synthetic patient data to overcome challenges related to data privacy, security, and limited access to real patient data. Synthetic patient data provides a safe and compliant alternative for testing, research, and training purposes while preserving patient privacy. It allows for the development and validation of healthcare technologies, machine learning algorithms, and predictive models without needing to rely exclusively on sensitive patient information.

Expert Collections

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Market Map

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Do you compete within Synthetic Patient Data Platforms?

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Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.