imgCortex

AI radiologist · on-prem · physician-signed

Reads the scan, finds the abnormality, and shows the doctor where.

imgCortex reviews every study the moment it arrives, drafts the report, and points to the exact slice where something looks wrong. The radiologist stays in charge and signs. Deployed on-prem, learning continuously from the clinic's own reports.

Running on-prem Wired into the clinic's imaging pipeline MRI + CT, physician-signed
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scan detect highlight
the model at work

What it does

Radiologists drown in a flood of scans. imgCortex reads first and hands the doctor a ready starting point, not a raw image.

Reads firstevery study is reviewed the moment it lands, before the queue backs up
Shows wherethe exact slice, with the abnormality highlighted and described in words
Doctor signsadvisory by design: the physician reviews and signs, and every verdict makes the model sharper

Three things it gives the doctor

A draft, a highlight, and a system that keeps learning

Built for the reading room: faster reports, fewer misses, and a model that gets better with every signed study.

A ready draft report

Findings and impression written out, with a clear category, so the radiologist edits and signs instead of starting from a blank page. Safeguards keep it from inventing what isn't there.

The right slice, highlighted

Out of hundreds of images, imgCortex picks the ones that matter, marks the abnormality and says what it sees. One click takes the doctor straight there.

Sharper every week

It learns from the clinic's own signed reports, in its own languages, so accuracy keeps climbing on the real patient mix, not on someone else's data.

Already working

Not a slide deck, a running system

imgCortex runs today on our own hardware, inside the clinic, on real modalities, with privacy handled before any image leaves the building.

On-premruns on our own GPU inside the clinic, data never leaves
MRI + CTworks on real studies streaming through the imaging centers
Integratedwired into the clinic information system the doctors already use
Privatede-identified on-site, physician-signed, advisory by design

Why now

The advantage compounds

The moat isn't the model, everyone can download a model. It's the data and the place it runs.

The data moat

Our own reports

A growing corpus of signed reports in our own languages, which no competitor can buy. Every study makes it stronger and harder to catch.

The trust model

The doctor stays in charge

Advisory, not autonomous. That is what clinics adopt, what regulators accept, and what turns daily use into a stream of training signal.

The fit

On-prem, private by default

Healthcare data stays in the building. On-prem is the deployment hospitals actually say yes to, and it is where we already run.

Where it's going

From finding to full reading partner

Today

Finds and shows

Reviews the study, highlights the abnormality on the right slice, and drafts the description.

Next

Inside the workflow

The draft lands in the doctor's report with one click, and every edit teaches the model.

Then

Compare and triage

Tracks change against prior scans and pushes the urgent cases to the front of the queue.

imgCortex

Radiology that reads first.

We're building the AI radiologist that finds it, shows it, and gets sharper every week, on the clinic's own data. Let's talk.

Request a demo See how it works