MaternAlert is a Nigerian maternal health technology company building digital infrastructure for primary health centres and hospitals — enabling early risk detection, digital antenatal records, defaulter tracking, and automated reporting so that more mothers reach delivery safely.
MaternAlert was co-founded by a software engineer and a registered nurse who share one conviction: that most maternal deaths in Nigeria happen not because medicine lacks the answers, but because the right information doesn't reach the right person at the right time.
We are building the digital tools that close that gap — starting with primary health centres, where the majority of antenatal care in Nigeria is delivered and where the operational burden on health workers is highest.
Co-founder & Software Engineer
Uthman Abdulganiyu
Full-stack engineer specialising in health technology. Currently completing NYSC service while building MaternAlert's technical infrastructure — from the clinical monitoring engine to the health worker dashboard and patient mobile application.
Co-founder & Registered Nurse
Lateefat Ibrahim
Registered nurse with direct clinical experience in maternal and reproductive health. Responsible for clinical validation of every feature MaternAlert builds — ensuring the platform reflects how healthcare is actually delivered in Nigerian facilities.
Nigeria accounts for roughly 20% of global maternal deaths. Most of these deaths are preventable. Through direct conversations with doctors, nurses, midwives, public health officers, and pregnant women, we identified the operational failures that consistently sit behind preventable deaths in Nigerian facilities.
MaternAlert is a digital antenatal care platform for Nigerian health facilities. The health worker — not the patient — is the primary user. The platform fits into existing clinical workflows rather than asking facilities to change how they work.
Replaces paper ANC registers with a structured digital record. Health workers enter visit data — BP, weight, gestational age, urine protein, fundal height, fetal heart rate, remarks — and every patient's full history is searchable and visible in seconds.
A deterministic clinical rules engine evaluates each visit entry against WHO and ACOG guidelines. When a patient's readings cross clinical thresholds or show a concerning trend across visits, the health worker sees an immediate point-of-care alert — no algorithm opacity, no AI guesswork.
Every week, the system automatically generates a list of patients who missed their scheduled ANC visits. Health workers or community health workers can follow up by phone before a missed appointment becomes a missed emergency.
Monthly government HMIS reports generate automatically from visit data entered during routine care. What previously took 2–3 hours of manual counting takes one click.
Health workers create referrals within the platform and track their outcome. Receiving facilities can update referral status. The loop closes — and the referring facility knows what happened to their patient.
For patients with smartphones, a companion app provides danger sign education, emergency alerts to family members and the linked facility, appointment reminders, and a read-only view of their own health records entered by the health worker.
MaternAlert is being developed in direct collaboration with the people who will use it. Every product decision traces back to a conversation with a clinician or a pregnant woman.
Early validation revealed that self-monitoring assumptions were wrong for the Nigerian context. Clinical input from doctors and nurses fundamentally reshaped the product direction.
A structured survey of nurses, doctors, and public health officers identified the six operational problems listed above as the highest-priority pain points in Nigerian antenatal care delivery.
Every clinical rule in the risk engine, every field in the ANC visit form, and every piece of educational content has been reviewed and validated by a registered nurse with maternal health experience.
MaternAlert is preparing for pilot deployments in Primary Health Centres in Nigeria. If you represent a PHC, hospital, or maternal health organisation interested in piloting, we would like to hear from you.
Clinical rules are deterministic, not probabilistic. When we are uncertain, we escalate — never downgrade.
We only build features that solve problems technology is uniquely positioned to solve. Not everything needs an app.
Low bandwidth, intermittent internet, busy health workers, rural patients. These are the design constraints, not edge cases.
MaternAlert supports clinical decisions. It does not make them. We are clear about what the platform can and cannot do.
Clinicians shape the product. No feature ships without being reviewed against actual clinical workflows.
Minimal data collection, role-based access, and no diagnostic labels stored against patient records.
Medical Disclaimer: MaternAlert is a clinical decision-support and healthcare operations platform. It is not a medical device and does not diagnose, treat, or replace the judgment of a qualified healthcare professional. All clinical decisions remain with the attending health worker. If you are experiencing a pregnancy emergency, contact your health facility immediately or call emergency services.
We are looking for PHCs, hospitals, NGOs, and maternal health programmes in Nigeria interested in piloting MaternAlert. We are also open to conversations with researchers, funders, and health system partners who share this mission.
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