
SECURITY AT THE CORE
The Most Powerful Health Data Ecosystem Built for Privacy
Endpoint powers research collaboration by connecting healthcare providers with researchers through a secure, privacy-first platform. We create high-quality synthetic data that replicates real-world patterns while adhering to strict data protection standards. Providers can easily make this data available to researchers, driving impactful studies and advancing healthcare innovation.

SECURITY AT THE CORE
The Most Powerful Health Data Ecosystem Built for Privacy
Endpoint powers research collaboration by connecting healthcare providers with researchers through a secure, privacy-first platform. We create high-quality synthetic data that replicates real-world patterns while adhering to strict data protection standards. Providers can easily make this data available to researchers, driving impactful studies and advancing healthcare innovation.

SECURITY AT THE CORE
The Most Powerful Health Data Ecosystem Built for Privacy
Endpoint powers research collaboration by connecting healthcare providers with researchers through a secure, privacy-first platform. We create high-quality synthetic data that replicates real-world patterns while adhering to strict data protection standards. Providers can easily make this data available to researchers, driving impactful studies and advancing healthcare innovation.
Architecture
Architecture
Architecture
Healthcare data requires robust security to ensure its protection. Accessing such data often involves navigating multiple layers of security, approvals, or transferring data, which can compromise safety.
Every element of Endpoint’s platform is designed to operate seamlessly in the most secure environments. This ensures that your teams can safely and easily access and leverage data without compromising its integrity or privacy.
Healthcare data requires robust security to ensure its protection. Accessing such data often involves navigating multiple layers of security, approvals, or transferring data, which can compromise safety.
Every element of Endpoint’s platform is designed to operate seamlessly in the most secure environments. This ensures that your teams can safely and easily access and leverage data without compromising its integrity or privacy.


Features
Features
Multi-table capabilities
Multi-table capabilities
Multi-table capabilities
Endpoint’s multi-table model can synthesize sets of related tables, ensuring accurate replication while preserving mutual information across one-to-one, one-to-many, and many-to-many relationships.
Endpoint’s multi-table model can synthesize sets of related tables, ensuring accurate replication while preserving mutual information across one-to-one, one-to-many, and many-to-many relationships.
Endpoint’s multi-table model can synthesize sets of related tables, ensuring accurate replication while preserving mutual information across one-to-one, one-to-many, and many-to-many relationships.
Time-series data
Time-series data
Time-series data
Endpoint offers diverse approaches for modeling and generating sequential data, including bootstrapping, windowing, temporal Generative Adversarial Networks (GANs), Auto-Encoders, and sequential Synthpop. These techniques provide flexibility and precision for handling time-dependent datasets.
Endpoint offers diverse approaches for modeling and generating sequential data, including bootstrapping, windowing, temporal Generative Adversarial Networks (GANs), Auto-Encoders, and sequential Synthpop. These techniques provide flexibility and precision for handling time-dependent datasets.
Endpoint offers diverse approaches for modeling and generating sequential data, including bootstrapping, windowing, temporal Generative Adversarial Networks (GANs), Auto-Encoders, and sequential Synthpop. These techniques provide flexibility and precision for handling time-dependent datasets.
Connectors
Connectors
Connectors
Endpoint’s native connectors enable read and write capabilities for various file formats, including .csv
, .csv.gz
, .avro
, and .parquet
. These files can be stored locally or on cloud platforms such as AWS S3, Google Cloud Storage, and Azure Blob Storage. Endpoint also supports relational and NoSQL databases like MySQL and MongoDB, as well as data warehouses including Snowflake and Databricks.
Endpoint’s native connectors enable read and write capabilities for various file formats, including .csv
, .csv.gz
, .avro
, and .parquet
. These files can be stored locally or on cloud platforms such as AWS S3, Google Cloud Storage, and Azure Blob Storage. Endpoint also supports relational and NoSQL databases like MySQL and MongoDB, as well as data warehouses including Snowflake and Databricks.
Endpoint’s native connectors enable read and write capabilities for various file formats, including .csv
, .csv.gz
, .avro
, and .parquet
. These files can be stored locally or on cloud platforms such as AWS S3, Google Cloud Storage, and Azure Blob Storage. Endpoint also supports relational and NoSQL databases like MySQL and MongoDB, as well as data warehouses including Snowflake and Databricks.






Data quality metrics
Data quality metrics
Data quality metrics
Our platform includes a wide range of metrics to evaluate privacy, similarity, and utility. Validation reports ensure cross-table consistency and quality assurance.
Our platform includes a wide range of metrics to evaluate privacy, similarity, and utility. Validation reports ensure cross-table consistency and quality assurance.
Our platform includes a wide range of metrics to evaluate privacy, similarity, and utility. Validation reports ensure cross-table consistency and quality assurance.
Automated
pre-processing
Automated
pre-processing
Automated
pre-processing
Endpoint’s automated data type detection analyzes source data to identify column types, significantly accelerating the setup of large datasets. The system also detects common date formats, country-specific ID patterns, and underlying business logic relationships, while preserving key relationships between tables—even from flat file sources.
Endpoint’s automated data type detection analyzes source data to identify column types, significantly accelerating the setup of large datasets. The system also detects common date formats, country-specific ID patterns, and underlying business logic relationships, while preserving key relationships between tables—even from flat file sources.
Endpoint’s automated data type detection analyzes source data to identify column types, significantly accelerating the setup of large datasets. The system also detects common date formats, country-specific ID patterns, and underlying business logic relationships, while preserving key relationships between tables—even from flat file sources.




Monetize data
Monetize data
Monetize data
Endpoint gives you the ability to maximize the value of your data through research collaborations. Our patient cohort builder helps researchers discover and customize cohorts based on criteria like demographics, diagnoses, and treatments. Using high-quality synthetic data, it ensures secure, targeted research requests while maintaining privacy. Define licensing terms, share cohorts, and collaborate with academic and industry partners for observational studies and clinical trial planning.