Baymatob

Baymatob develops the Oli PPH, an AI-guided device that identifies individuals at high risk for postpartum hemorrhage before childbirth, significantly reducing the likelihood of preventable maternal deaths. This technology addresses the critical issue of rising maternal mortality rates by providing early warnings that can lead to timely medical interventions.

Traction 8/10

Leichhardt, Australia · HQ

Founded 2016211K+ followers

Artificial Intelligence
Digital Health
Healthcare Technology
Software Only

Updated 23 months ago

Funding

Raised to date

$4.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

1 founder

Sarah McDonald

Founder

Product

Problem

Maternal mortality rates are rising, with postpartum hemorrhage (PPH) being a leading cause of preventable maternal deaths and severe complications like emergency hysterectomies. Current monitoring technologies used during pregnancy and labor are often outdated and inadequate for early risk identification. This lack of early detection limits timely medical interventions and contributes to adverse outcomes for mothers.

Solution

Baymatob's Oli PPH is an AI-guided device designed to identify individuals at high risk of developing postpartum hemorrhage well before childbirth. The device analyzes patient data using proprietary algorithms to provide early warnings, enabling proactive medical interventions. By identifying at-risk individuals early, Oli PPH aims to significantly reduce the incidence of PPH and associated complications, ultimately improving health outcomes for mothers and babies. The technology offers a proactive approach to maternal care, addressing the critical need for improved risk assessment during pregnancy and labor.

Target Audience

The primary target audience includes obstetricians, hospitals, and maternal health clinics focused on improving maternal health outcomes and reducing preventable complications during childbirth.

Features

AI-driven analysis of patient data to predict PPH risk
Early warning system to alert clinicians of high-risk individuals before childbirth
Non-invasive monitoring during pregnancy and labor
Integration with existing hospital systems for seamless data transfer
Continuous monitoring and risk assessment throughout the birthing process