Nuvo Intl Group, a leader in remote pregnancy monitoring and AI-enabled maternal-fetal care, unveiled its pregnancy data solution built from real-world use of its FDA-cleared INVU pregnancy monitoring wearable technology.

Through INVU, Nuvo has assembled what it believes to be the largest real-world, longitudinal dataset of synchronised native maternal and fetal physiological signals collected during pregnancy. The INVU dataset includes more than 350,000 minutes of monitoring across over 25,000 sessions, gathered from live pregnancies in both clinical and home settings over many years.

"The INVU pregnancy monitoring wearable solution has enabled Nuvo to build a large-scale, multimodal, longitudinal dataset grounded in real-world use, thereby creating a foundation for AI-driven pregnancy insights that simply have not previously existed. This is about redefining how the health of both mother and child during pregnancy can be measured, modelled, and understood over time," said Laurence Klein, Chief Executive Officer of Nuvo Intl Group Inc.

Unlike traditional pregnancy monitoring, which often relies on brief clinic visits or a single type of measurement, Nuvo's remote pregnancy monitoring solution captures simultaneous physiological signals of the pregnant mother and her child over time. These signals include native fetal electrocardiography (fECG) and fetal phonocardiography (fPCG), as well as maternal ECG (mECG) and maternal phonocardiography (mPCG), together with motion data and structured pregnancy information. ECG measures the heart's electrical activity and phonocardiography captures the heart's acoustic signals. Capturing these signals concurrently over time allows the electrical and mechanical aspects of the mother's and baby's heart activity to be analysed together, providing a more comprehensive and reliable view of maternal and fetal health.

By combining native electrical signals (fECG and mECG) with native mechanical heart sounds (fPCG and mPCG), Nuvo's solution allows each signal to validate and help interpret the others. Nuvo's patented multimodal approach improves signal quality and reduces artefacts caused by motion, enabling clearer differentiation between true physiological changes and noise than is possible with single-modality or Ultrasound/Doppler-based systems.

Because the data are collected repeatedly over time, rather than during isolated moments, it supports deeper insights into how maternal and fetal physiology evolve. This longitudinal structure makes INVU's dataset particularly well-suited for evolving AI models and techniques that look for patterns across large populations and extended time periods.

The genesis of Nuvo's data solution is the result of years of regulated clinical use and an integrated system that connects the INVU wearable, software, and cloud infrastructure. The combined offering positions INVU as an insights-based solution that can define the future evolution of pregnancy care toward more continuous, personalised, and data-driven approaches.