Revolutionising maternal healthcare with AI
Our vision is to detect and manage at-risk pregnancies. Every expecting mother deserves the care she needs, when she needs it, regardless of healthcare resources or expertise available.

Detecting High-Risk Pregnancies with Unmatched Accuracy
Our AI-powered technology enhances the detection of high-risk pregnancies* by 25-50% compared to current clinical standards.
*including abnormal fetal growth & preterm birth

Personalized and Inclusive Prenatal Care
Traditional prenatal screening often overlooks key patient factors like BMI, ethnicity or age. Our AI-driven technology delivers risk predictions, personalized, high-quality care for pregnant women everywhere

Trustworthy AI for Confident Clinical Decisions
Clinicians need transparency and trust in AI-driven decision support. We monitor the robustness of our technology across demographic groups to promote increased health equity.
Less than half of pregnancies at risk are identified in time
We aim to significantly reduce the number of undiscovered at-risk pregnancies and preterm births world-wide.
25-50%
better detection of high-risk pregnancies
44.500
preterm births preventable annually in the western world*
€6.45B
in healthcare savings in the western world*
30%
fewer neonatal complications & 50% less postpartum hemorrhage
*US+Eur+CND+AU+NZ

Our technology detects 25-50% more high-risk pregnancies than current clinical practices. Seamlessly integrating into existing workflows and technology, our AI acts as a trusted clinical support tool, assisting with risk assessment, second opinions, and quality assurance—empowering clinicians to provide safer, more effective prenatal care
Professor Martin G. Tolsgaard, MD PhD DMSc
Partners



Our mission is to take advantage of AI to detect all pregnancies at risk, ensuring early identification and timely intervention.
By providing accurate, accessible, and scalable solutions, we empower healthcare providers to address pregnancy complications effectively, even with limited specialized staff