Healthcare catches problems late.
IriSense catches them early.

IriSense turns a patient's labs, refills, and visit history into an early warning system. Care teams see the risk while a phone call is still enough to fix it.

Everyday signalRefill gap14 days overdue
Health patternShiftingWorth a second look
Earlier actionStill possibleBefore it's urgent
One flagged casereviewed this morning

Why care arrives late

Most chronic disease is caught after it's already serious.

By then, the easy options are gone.

Care usually starts once someone already feels sick. The warning signs were there earlier: a lab result, a skipped refill, a missed follow-up.

IriSense reads those signs automatically, so a care team can step in weeks earlier, while the fix is still simple.

How it feels

01 Notice

Something in the data shifts.

A lab value drifts out of range. A refill lapses. Neither looks urgent on its own, which is exactly why it gets ignored.

02 Understand

The pattern is the real signal.

One data point means nothing. Months of them, compared, show exactly where a patient is heading.

03 Act

There is still time to act.

A nudge to the care team. A visit moved up by three weeks. Small moves, made early, change outcomes.

What earlier makes possible

A better next step,
for everyone involved.

01

Earlier care

Catch it while a phone call is enough, not a hospital admission.

02
TodayOne record

One continuous record

Every visit, refill, and result in one place. No starting over at each appointment.

03
!

Attention where it counts

Care teams spend their limited hours on the patients who actually need them right now.

Why this gets harder to copy

It gets better with every patient it sees.

Every result and visit that runs through IriSense sharpens what it knows about how risk actually shows up. Not in theory, in real patient records.

The model is private. The catches aren't.

Why India. Why now.

A healthcare system digitizing faster than it's connecting.

01

Chronic disease is now India's leading cause of death, and most of it is preventable.

02

Health records are going digital fast, but they still sit in systems that don't talk to each other.

03

There aren't enough doctors for how many people need one. Every hour has to count.

We're building IriSense around how care actually works here: the doctors, the pharmacies, the way a family tracks a parent's reports on WhatsApp.

How we build

Rigorous about the model.
Simple for the people using it.

01

Built around care teams

The model flags. The clinician decides.

02

Tested against real records

Patient data is messy and incomplete. That is what we build and test against.

03

Explainable by default

No signal ships if we can't explain why it fired.

04

Private from day one

Access control isn't a later problem. It's a first one.

For investors and future teammates

The next chapter of healthcare
starts before the diagnosis.

We're building it from India, first.

Talk to us