Technology
We didn't invent a new test. We built the road to the lab.
Kenya already has accredited laboratories with spare HPLC capacity. The chemistry was never the problem. Getting a baby's blood there and the result back was.
The machine isn't the bottleneck.
You cannot put an HPLC in every sub-county dispensary. It is not just the price. It is the stable power, the climate-controlled room, and the specialist technologist to run it. Most rural facilities have none of the three.
So we stopped trying to move the machine. We move the sample instead, to laboratories that already have the equipment, the accreditation, and unused capacity on it.
That turns a capital problem into a logistics problem. And a logistics problem is one you can solve for a whole country.
0.0M
Babies born in Kenya every year
0
Equipment a partner facility has to buy
0
Days from heel prick to a signed digital result
The Workflow
Seven tracked steps, and none of them change how your ward works.
One sample · end to end
Tracked at every scanScreening programmes fail in two places: samples go missing, and results never come back. Both happen because the record lives on paper in a ward the sample has already left.
So every step is recorded against the sample itself. The nurse's scan links the card to the baby. The courier's scan confirms it left. The lab's scan confirms it arrived.
No new equipment. No cold chain. No new clinical routine.
01
Collect and register
Within 24–48 hours of birth, a nurse does a heel prick onto a dried blood spot card and scans its barcode into the app. The card is tied to the infant's birth ID from that moment on. It takes about two minutes.
02
Dry, seal, collect
The card air-dries for three hours, then goes into a desiccant-packed, moisture-proof sleeve. Our courier scans it on pickup and runs a fixed geographic loop to the lab. No cold chain required.
03
Analyse and report
The lab scans it in, runs automated quality verification, and analyses it by HPLC. The signed report is published to your ward through the app or a secure PDF, inside five days of collection.
In The Hand
One app. Four jobs. Nobody has to learn a system.
The nurse, the courier, the clinician, and the family each see the one screen that matters to them, and nothing else.
New registration
Infant
Born
Facility
Sample ID
DBSZH-KKG-24817
The Platform
One app for the nurse, the courier, the lab, and the county.
Built to work on the connections rural clinics actually have: low bandwidth, on a phone.
Register & Track
Nurses register a newborn and generate the card's barcode label from a phone. Every scan after that (pickup, transit, lab receipt) updates the ward.
- Bedside registration
- Barcode tied to the birth ID
- Live transit status
Lab Workflow & Reports
Samples are accessioned and quality-checked automatically on arrival at the partner lab. Verified results publish the moment they are signed off.
- ISO 15189-accredited labs
- Automated quality verification
- Digital report to the ward
Care Coordination
A positive result opens a loop instead of closing a file: parents and community health promoters are alerted by SMS and a return visit is booked.
- SMS to parents and promoters
- Return appointment booked
- County coverage dashboard
In The Laboratory
A batch, a queue, and a signature.
Samples arrive as a batch, are quality-checked on accessioning, and are signed off together. A card that failed the check never reaches a report.
Accessioning · Batch KSM-0914
| Sample | Facility | Status | Result | Age |
|---|---|---|---|---|
| ZH-KKG-24817 | Kakamega County GH | Signed off | FS | 4d 6h |
| ZH-KKG-24818 | Kakamega County GH | Signed off | FA | 4d 6h |
| ZH-BGM-11204 | Bungoma County Ref. | Awaiting review | FAS | 3d 1h |
| ZH-MUM-08822 | Mumias Sub-County | On the analyser | Pending | 2d 4h |
| ZH-MUM-08823 | Mumias Sub-County | Inadequate sample | Pending | 2d 4h |
Quality verification runs automatically on accessioning.
Sign off batchFor The County
Coverage you can actually see.
Every figure on a county dashboard traces back to a scanned sample, so “how many babies did we screen” stops being an estimate.
Kakamega County · September
- 1,284
- Screened this month
- 4.2
- Median days to result
- 1.9%
- Positive for SCD
- 30
- Facilities live
Samples screened per week
| W1 | 96 |
|---|---|
| W2 | 128 |
| W3 | 142 |
| W4 | 175 |
| W5 | 168 |
| W6 | 204 |
| W7 | 232 |
| W8 | 258 |
| Facility | Screened | Turnaround |
|---|---|---|
| Kakamega County GH | 412 | 3.8 d |
| Bungoma County Referral | 336 | 4.1 d |
| Mumias Sub-County | 214 | 4.6 d |
Compared To Doing It In-House
Same standard of test. None of the capital.
Buying your own lab
With ZuriHemo
Cost to the hospital
In-house:KES 20M+ for an HPLC, plus a technologist and a climate-controlled room
ZuriHemo:Nothing. You pay per test.
Time to result
In-house:3–6 months by paper post, when it arrives at all
ZuriHemo:Five days, delivered digitally
Where it works
In-house:A handful of referral hospitals in major cities
ZuriHemo:Any facility a courier can reach
If the sample is poor
In-house:Usually nobody finds out
ZuriHemo:Flagged on arrival, with a re-collection booked at the 2-week checkup
Quality & Compliance
A screening result is only worth the standard behind it.
ISO 15189 laboratories only
We do not run our own bench. Every sample is analysed at a partner laboratory holding validated ISO 15189 credentials, on equipment that already meets international clinical precision standards.
Reviewed against Kenyan practice
Our logistics and processing protocols are built to KMLTTB regulations and aligned with Ministry of Health guidelines for managing non-communicable disease.
Patient data stays private
The platform is built to the Kenya Data Protection Act 2019. Identity tokens are anonymized across the database and data is encrypted end to end in transit.
A bad sample never becomes a bad result
If a card arrives with uneven saturation or moisture damage, it is flagged automatically as an inadequate sample and the clinic is prompted to re-collect at the infant's two-week checkup.
Bring screening to your facility.
We will walk you through volumes, pickup schedules, reporting, and what it would take to start.