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Atlas by Gradient Health
Gradient Health
Developer Tools & APIs
Atlas by Gradient Health provides medical AI developers with instant access to large, diverse, and de-identified datasets for training and validating AI models at scale, offering multimodal data and a streamlined platform for data discovery and access.

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About Gradient Health

Gradient Health is a medical technology company focused on accelerating healthcare AI innovation by providing access to diverse, de-identified medical datasets. They address the critical challenge AI developers and researchers face in acquiring comprehensive and representative medical imaging data. Gradient Health’s core offering is the Atlas Product Suite, a platform that provides extensive medical image and data access, acting as a sophisticated search tool for training and validating medical artificial intelligence technologies.

For physicians and healthcare systems, Gradient Health’s platform facilitates participation in advancing medical AI by enabling the secure sharing of de-identified patient data. The company emphasizes privacy-preserving de-identification, adhering to HIPAA safe harbor methods and DICOM standards, to ensure patient information is protected while still providing valuable data for research. By curating diverse datasets, including data from various ethnicities, genders, ages, and geographical locations, Gradient Health aims to reduce bias in AI models and improve their applicability to a wider patient population, ultimately leading to more equitable and effective AI-driven healthcare solutions.

Focus Areas

medical imaging data de-identification AI model training and validation equitable AI healthcare data access multimodal data

Business Intelligence

Key InvestorsAwesome Ventures, Nitay Joffe, Scot Wingo, ReMY Investors & Consultants, Boro Capital, Supernode Ventures, MedMountain Ventures, The Triangle Tweener Fund, David Golan, Silicon Valley Social Venture Fund (SV2), VentureSouth, Wavemaker Three-Sixty Health, Techstars, Catalyst by Wellstar, Charlotte Angel Fund, Impact Assets, Yaron Hadad, Evan Brown, Sam Walton-Troy
PartnershipsGoogle Cloud
AcquisitionsDataAppraisal (October 2024)
TechnologyCloud-native, AI operating system (Atlas platform for de-identified medical imaging, EHR, and multimodal datasets)

What Physicians Need to Know

Medical Imaging Data & Access
Gradient Health provides access to over 300 million de-identified patient studies, primarily medical imaging data, through their Atlas platform. They source data from over 1,000 partner hospitals and healthcare organizations globally, including the U.S., Brazil, China, Australia, and the Netherlands, ensuring diverse and representative datasets. Their platform allows AI developers and researchers to quickly access curated, de-identified medical imaging datasets for training, testing, and validating AI models.
De-identification & Privacy
Patient privacy is central to Gradient Health's model. They utilize industry-leading de-identification techniques, including the HIPAA safe harbor method, to remove all patient-identifiable information while preserving clinical value. Their data infrastructure is HIPAA- and SOC 2u00ae-compliant, ensuring secure management of customer data.
AI Model Training & Validation
Gradient Health accelerates medical AI development by providing high-quality, diverse, and representative datasets essential for training and validating AI models. They support various AI development needs, including foundation model development and regulatory evidence generation.
Equitable AI
A core mission of Gradient Health is to foster equitable AI by providing access to diverse datasets that represent various ethnicities, genders, ages, and geographical locations. This helps reduce reliance on narrow or unrepresentative datasets, leading to more generalizable and robust AI models.
Multimodal Data
Gradient Health specializes in multimodal medical data, combining different types of healthcare information such as imaging, EHR data, reports, claims, and other clinical records. This provides richer clinical context for AI developers, which is increasingly important for building sophisticated AI models.
Key Differentiators
Gradient Health's key differentiators include their extensive network of over 1,000 partner hospitals providing access to millions of patient studies, their rigorous de-identification processes ensuring patient privacy, and their focus on diverse and representative datasets to promote equitable AI. Their Atlas platform offers a searchable, indexed library of de-identified studies with rich metadata, enabling quick cohort building and rapid data delivery (as fast as 48 hours).
Technology Stack
Gradient Health's core technology is their Atlas platform, a SaaS solution that provides an indexed, searchable library of de-identified medical imaging studies. The platform is designed for rapid data delivery and integrates with Google Cloud Marketplace for secure access to diverse datasets. They also utilize de-identification and labeling software, and their systems are built to integrate with PACS and reporting systems.
Physician Tip

For physicians, Gradient Health offers a unique opportunity to contribute to the advancement of medical AI by partnering to share de-identified data. This can generate value from existing data, support the development of better and more equitable AI tools, and provide access to an indexed and searchable on-premises platform to better care for patients. Their platform can simplify searching for similar cases based on pathologies, demographics, and other data, acting like a 'Google search' for medical cases. Additionally, Gradient Health provides education and training for doctors and providers in low-resource areas to improve data measurement methods.

Gradient Health's Atlas platform is available on Google Cloud Marketplace, enabling seamless and compliant data exchange for AI developers and research institutions. Their software can be integrated into any vendor's PACS and reporting system, offering real-time updates and immediate creation of patient cohorts. They also partner with platforms like Protege to provide multi-modal scale and data diversity to healthcare AI developers.

Products by Gradient Health

1 product in the directory

Atlas by Gradient Health
Gradient Health
Developer Tools & APIs
Atlas by Gradient Health provides medical AI developers with instant access to large, diverse, and de-identified datasets for training and validating AI models at scale, offering multimodal data and a streamlined platform for data discovery and access.

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Press & Coverage

DOTmed
Gradient Health expands Atlas beyond imaging to deliver multimodal data for medical AI development
Gradient Health announced the expansion of its Atlas platform to support multimodal healthcare data beyond imaging, including EHR, pathology, and cardiac data. This move aims to provide richer, more contextual data for building and validating medical AI models.
2026-06
Gradient Health
Gradient Health Launches Atlas 2, Setting a New Standard for Medical Imaging Data Access
Gradient Health released Atlas 2, a significant upgrade to its self-service medical imaging data platform for AI developers. The new version offers enhanced search capabilities, a redesigned user experience, and improved collaboration tools, providing access to over 20 million imaging studies.
2026-05
Gradient Health
Gradient Health and Protege Partner to Bring Multi-Modal Scale and Data Diversity to Healthcare AI
Gradient Health partnered with Protege to license de-identified, HIPAA-compliant medical imaging data at scale, generating significant new revenue. This collaboration aims to unlock multi-modal data diversity for healthcare AI development by combining Gradient Health's datasets with Protege's expertise.
2025-11
Imaging Technology News
Gradient Health, DataFirst Team Up to Expand Access for AI | Imaging Technology News
Gradient Health and DataFirst announced a strategic partnership to facilitate secure, de-identified data sharing for AI development. This collaboration allows imaging providers using DataFirst's Silverback Workflow Engine to contribute data and generate revenue, while promoting more representative medical AI systems.
2025-11
Gradient Health
Gradient Health Announces Acquisition of DataAppraisal to Accelerate Medical AI Innovation
Gradient Health acquired DataAppraisal, a healthcare AI company specializing in unlocking anonymized healthcare data. This acquisition enhances Gradient's ability to provide diverse medical imaging datasets, including those from rural regions, to accelerate medical AI development.
2024-10
Startland News
LaunchKC winner acquired by Gradient Health, pushing equitable AI innovations to market faster
DataAppraisal, a LaunchKC-backed startup, was acquired by Gradient Health, aiming to accelerate AI-driven solutions and unlock the full potential of healthcare data. The acquisition is expected to improve healthcare AI by providing access to unique and hard-to-reach datasets.
2024-10
The SaaS News
Gradient Health Closes $2.75 Million in Funding
Gradient Health, a medical AI data-sharing company, secured $2.75 million in a funding round led by ReMY Investors & Consultants. This investment will support the company's mission to build a comprehensive annotated medical imaging library.
2023-06
PR Newswire
Gradient Health pens huge collaboration agreement with Cone Health to accelerate innovation.
Gradient Health announced a significant collaboration with Cone Health, a not-for-profit health system, to accelerate healthcare technology innovation. This partnership aims to advance medical care by leveraging previously unused assets and Gradient's platform.
2023-01

Frequently Asked Questions

Gradient Health utilizes a multi-step de-identification process that includes automated tools and human oversight to remove Protected Health Information (PHI) from medical imaging data. This process adheres to HIPAA guidelines and other relevant privacy regulations, ensuring data utility for AI development without compromising patient confidentiality.
Gradient Health offers a diverse range of medical imaging data, including but not limited to X-rays, CT scans, MRIs, and ultrasounds, across various specialties. We can also facilitate the integration of multimodal data, such as correlating imaging with clinical notes, lab results, and genomic data, to enable the development and validation of more comprehensive and robust AI models.
Gradient Health is committed to promoting equitable AI by actively curating datasets that represent diverse patient populations in terms of demographics, disease prevalence, and imaging characteristics. We work with our partners to identify and mitigate potential biases in the data, striving to ensure that AI models trained on our datasets perform fairly and accurately across all patient groups.
Gradient Health offers a platform that provides secure and streamlined access to high-quality, de-identified medical imaging datasets. Our products are designed to help researchers and developers efficiently discover, access, and utilize the data needed for training and validating AI models, accelerating innovation in healthcare.
Gradient Health's pricing model is typically subscription-based, varying depending on the scope and volume of data access required. We offer comprehensive support, including technical assistance and data curation expertise. We actively seek partnerships with healthcare organizations to co-develop custom datasets and solutions, fostering collaborative innovation in AI.
Gradient Health maintains strict compliance with all relevant healthcare regulations, including HIPAA and GDPR, through robust data governance policies and technical safeguards. We employ industry-standard encryption, access controls, and regular security audits to protect all data on our platform, ensuring its integrity and confidentiality.
Gradient Health is a well-funded and rapidly growing company with a strong commitment to advancing AI in healthcare. Our vision is to be the leading provider of high-quality, diverse medical imaging data, empowering the development of AI solutions that improve patient outcomes, enhance diagnostic accuracy, and increase healthcare efficiency globally.

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