Durham, NC, November 18th, 2025 — Gradient Health today announced its Atlas platform is
now available on Google Cloud Marketplace, enabling AI developers and research institutions to
securely access diverse, de-identified medical imaging data directly within Google Cloud.
Through this initiative, Gradient makes it easier for teams building foundation models and
clinical AI applications to source, curate, and deploy large-scale datasets in a compliant way
that’s aligned with healthcare and data privacy standards.
Atlas provides rapid access to millions of imaging studies spanning modalities, pathologies, and
patient demographics. By combining Gradient’s HIPAA- and SOC 2®-compliant data
infrastructure with Google Cloud’s scalable compute and AI services, developers can train and
validate models faster while ensuring representation and reproducibility.
“Making Atlas available on Google Cloud Marketplace reflects our shared commitment to
accelerating responsible medical AI,” said Josh Miller, Chief Executive Officer at Gradient
Health. “AI developers can now build and test foundation model scale innovations using
representative, real-world imaging data, without the friction that has historically slowed
innovation.”
“Through the Google Cloud ISV Startup Springboard program, we aim to empower promising
companies with Google Cloud’s impactful programs, products, and expertise,” said Ritika Suri,
Managing Director, AI and Data Partnerships at Google Cloud. “We’re enabling the selected
companies to leverage Google Cloud’s most advanced AI technologies – and in the case of
Gradient Health, to empower researchers with AI to improve clinical AI applications at scale.”
To learn more or deploy Atlas through Google Cloud Marketplace, visit
Gradient Health on Google Cloud Marketplace
About Gradient Health
Gradient Health enables medical AI developers to access diverse, de-identified imaging
datasets representing real-world populations. By partnering with healthcare institutions around
the world, Gradient provides researchers with the data they need to develop, validate, and
deploy AI safely and effectively.
Learn more at GradientHealth.io