Data Infrastructure for the Future of Healthcare
90x smaller files.
One standardized format.
Making your data AI ready.
Reduce, standardize, and index medical images at ingest. No scanner changes, no viewer changes, just dramatically smaller files and faster workflow.
Now accepting users
Request a pilot90%+ storage reduction
petabytes saved annually
visually lossless quality
MS-SSIM>=0.99
standards compliant output
OME-TIFF/DICOM
drop-in deployment
no hardware change
How it works
From scan to searchable.
Every file is compressed, standardized, and indexed before it touches storage.
Cost Estimator
See what you're spending and what you could be saving.
Storage costs compound as data accumulates. Plug in your numbers.
$168.7K
saved over 1 year
Reduce storage costsRequest a demo
Built with input from Penn Medicine's Department of Pathology and Laboratory Medicine
Platform
Making your data AI ready at ingest.
Every slide is indexed and embedded at ingest, making your archive searchable, while unlocking new AI capabilities.
01
Semantic Search
Find any tile across your entire archive by example. Draw a box, get results in milliseconds. No annotation required.
02
Dataset Creation
Define datasets by example. Provide 5 reference tiles, retrieve 50,000 curated training samples in seconds. Weeks of annotation become minutes.
03
Model Development
Train classification and segmentation models directly on curated datasets. Your data never leaves your infrastructure.
04
Deploy & Monitor
Deploy models into production. Detect distribution drift automatically when scanners, stains, or tissue types shift.