Whole-Slide Intake
We start from the full slide, not a cropped field so nothing that matters gets left out of frame.
MEDICAL AI · CERVICAL CYTOLOGY
There's a gap between the microscope and the diagnosis. We're building the bridge.
RETINUM is an AI assistant for cervical cytology trained to read Pap smear slides alongside pathologists, not instead of them.
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WSI / 07REGION OF INTEREST
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CURRENT FOCUSCervical cytology
FRAMEWORKBethesda-aligned review
MODEThe pathologist still makes the call
WHY THIS MATTERS
Cervical cancer is one of the most preventable cancers there is screening is still the bottleneck.
Every Pap smear takes a trained eye, real time, and total focus. Pathologists are reading a growing number of slides against a limited amount of both. RETINUM exists to give some of that time back without asking anyone to trust a black box with a diagnosis.
One pipeline, from slide to structured signal.
Cell-Level Classification
Cells are grouped by morphology and mapped toward the categories pathologists already use the Bethesda system, not a new language to learn.
Prioritize
The findings most likely to matter get surfaced first so review time goes where it counts.
Evidence, Not Verdicts
Flagged regions and cells come back to the pathologist for review RETINUM surfaces the evidence, the pathologist still makes the call.
R&D SIGNAL / ACTIVE
A research pipeline, taking shape in the open.
Detection, classification, and visual review are being built as connected modules, one at a time built alongside practicing pathologists, not presented as a finished clinical system.
INTERACTIVE / WSI
A glimpse into the review layer.
Drag the divider to compare the original field with an early, experimental model overlay.
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ALSO IN THE WORKS
Digitization shouldn't have to start with an expensive scanner.
A low-cost way to turn an ordinary microscope into a digital imaging setup so a dedicated slide scanner isn't the only way in.
Built where medicine, engineering, and responsibility meet.
Mohammad Jalali
CEO · Medical Student
Mojtaba Zarreh
CTO · Computer Engineering
Bita Adib
CLO · Law
Sara Pourbafrani
Medical Lead · Medical Student
Mehsaneh Rezaeian
Medical Associate · Medical Student
Cytology is where we started. It isn't where we stop. Cervical screening is our first, deepest focus the problem is real and the need is immediate. It's also the first stop on a longer roadmap across medical imaging. The rest is still taking shape.
JOIN US
This is your seat.
We're not hiring off a template we're looking for people who want to build something real, early, in medical AI. If that's you, reach out even if you don't see a listed role.
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