We constantly look for new data partners with hard to access or in demand data to add to the millions of patient journeys we already have.
We use industry leading de-identification techniques to thoroughly and reliably cleanse data of protected health information.
We ingest and curate millions of patient records into our Atlas platform so that AI developers can quickly and easily find the data they need.
Once our customers have narrowed down their ideal dataset on our self-service platform, we make it available for download in as little as 48 hours.
“Gradient helped us reduce months of dataset sourcing into a matter of days. The breadth and structure of the data gave our team a huge advantage during validation.”
“Working with Gradient allowed us to responsibly contribute de-identified imaging data without disrupting our clinical workflows. The process was seamless from start to finish.”
