Avandra Imaging provides a data platform for healthcare and research, focusing on the aggregation and management of medical imaging and multimodal data. Their platform offers access to anonymized datasets enhanced with tokenization techniques, facilitating integration with third-party data to support medical research and innovation. Avandra’s federated network ensures secure handling of sensitive data, enabling organizations to collaborate effectively while maintaining compliance and privacy.

Dandelion Health provides access to a dataset of approximately 10 million patient records, a wide range of data from diverse care settings. This data is tokenized to enable patient journey analysis, which supports the development of predictive algorithms. Dandelion offers custom datasets, data libraries, and validation services to meet specific research needs.

First DataBank offers drug safety and efficacy data for clinical decision support solutions and operational systems.

Gradient Health provides access to large, diverse medical imaging datasets for training and validating AI technologies in healthcare. They partner with hospitals and health systems to contribute data to accelerate the development of medical AI solutions. Their services are tailored for AI developers and partners to ensure high-quality datasets for medical research and innovation.

Segmed provides de-identified, real-world medical imaging data for use in healthcare research, AI development, and clinical innovation. It aggregates data from over 2,000 healthcare locations worldwide, offering access to diverse datasets that include DICOM images, radiology reports, and patient metadata. The platform supports life sciences, medical device development, and AI model training by providing fast, regulatory-grade datasets. Segmed's tools streamline data extraction, de-identification, and delivery, reducing time-to-access for researchers. Key features include FHIR and DICOMweb standards for interoperability and automated de-identification to ensure HIPAA compliance.