DELN dataHealth Atlas

DELN's dataHealth Atlas maps the landscape of AI training datasets as a force-directed similarity graph (distance = difference, with rings marking coverage gaps), giving a visual read on how datasets relate and where coverage is thin. It also lets organizations compare their private data against that landscape on-premise.

It targets ML and data teams who want to understand training-data coverage and gaps, and assess how their own data fits in, without exposing it to the cloud.