AI Maternity Alert-Monitor

Empowering maternity care with AI-driven solutions.

Past and Current Partners

Ministry of Economy, Trade and Industry (METI) of Japan, Private maternity hospitals in Kenya and Uzbekistan

Active Countries
Kenya, Uzbekistan
Thematic area(s)
Health
Technology
AI/ML, SaaS
Organisation Name
spiker ltd.
READ MORE ON THEIR WEBSITE

The Problem

Maternal and neonatal deaths remain a pressing global challenge, particularly in perinatal care facilities where staff shortages and limited medical training compromise the quality of care. These gaps often lead to preventable complications during pregnancy, childbirth, and the neonatal period, putting both mothers and newborns at unnecessary risk.

The Solution

The solution combines AI-powered fetal monitoring with Japanese midwifery-based training to strengthen perinatal care. It provides low-cost, easy-to-adopt systems and techniques designed to enhance clinical decision-making, improve care quality, and support healthcare workers in resource-constrained settings. AI Maternity Alert-Monitor enables 24-hour observation of patients, providing automatic information about the fetal risk status regardless of the midwife's skills.

How it works?

  • Step 1: Installing AI-enabled fetal monitors.
  • Step 2: Training staff in Japanese midwifery-based labor management methods.
  • Step 3: Using AI to automatically detect abnormalities and send real-time alerts.
  • Step 4: Enabling early intervention based on Japanese midwifery methods—before patient conditions worsen.
  • Step 5: Allowing facilities to review KPIs in 5 minutes through a dashboard powered by clinical records and AI-driven analysis.
  • Step 6: Supporting continuous quality improvement remotely.
Digital X Solution Spiker

Bridging the digital divide

Beyond clinical support, the approach addresses the digital divide faced by under-resourced maternity facilities. By offering accessible and user-friendly technology paired with practical training, it ensures that advanced maternal and neonatal care is not limited to well-funded hospitals but becomes available to vulnerable populations worldwide.

Impact and highlights

  • Supported over 25,000 pregnancies across Kenya and Uzbekistan with AI-powered fetal monitoring, enabling earlier intervention and safer deliveries.
  • Based on clinical data from three pilot hospitals, the rate of emergency cesarean sections performed due to suspected fetal distress (NRFS) decreased from 61.6% to 28.8% after implementing our training and AI solution. Additionally, the incidence of neonatal asphyxia dropped from 7.6% to 6.3%.
  • Following the introduction of Spiker’s AI system and training, local clinics in Kenya saw a threefold increase in patient visits within six months.
  • Midwives who once lacked confidence now report a 95% improvement in clinical assurance, while knowledge test scores surged from 30% to 80%, showing rapid self-learning and professional growth.

Plans for expansion

The company is working to gradually expand its reach and impact by building on its current financial foundation. Revenue from AI SaaS and clinical training services, together with support from competitive grant programs and early-stage venture capital, provide a stable base for the next steps. With a 12-month funding runway in place and potential extensions through future sales and partnerships, the company plans to carefully scale its technology and services, aiming to bring maternal and neonatal care support to a wider range of perinatal facilities.

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