Advanced AI-Powered Monitoring for the Future of Maternal-Fetal Care

Nuvo's flagship product, INVU™, non-invasively measures the body’s electrical activity and uses cloud-based processing to extract maternal and fetal heart rates algorithmically. Our wireless, non-invasive, user-friendly solution is currently being used in hospitals in the USA and Israel. Our core technology is a wireless, remote maternal-fetal monitoring system designed to improve access to prenatal care while maintaining clinical accuracy. The INVU platform is FDA-cleared and prescription-initiated, allowing real-time monitoring of fetal heart rate (FHR), maternal heart rate (MHR), and uterine activity (UA) from home.

How It Works

The INVU platform includes a wearable sensor belt with biopotential (ECG), motion, and acoustic sensors. These sensors:

  1. Detect physiological signals from both the mother and fetus.
  2. Transmit data wirelessly to a cloud-based Artificial intelligence (AI) and Machine Learning (ML) algorithm for real-time processing.
  3. Analyze and validate data, filtering out noise and ensuring accuracy comparable to cardiotocography (CTG), the current standard for fetal monitoring.

Advanced Signal Processing & AI Integration

The system combines biopotential (ECG) and phonocardiographic (PCG) signals to provide beat-to-beat fetal heart rate measurements. The AI-driven cardiac-derived algorithm also enables remote uterine activity monitoring, expanding the system’s capability to include non-stress tests (NSTs) without requiring an in-clinic visit​. A clinical study demonstrated that INVU’s uterine activity detection had a higher sensitivity (89.8%) compared to standard tocodynamometry (TOCO), reducing inaccuracies caused by maternal movement and obesity​.
Read about this research.

Key Benefits‍

✔ Remote, Real-Time Monitoring – Reduces the need for frequent in-clinic visits while keeping patients connected with their care teams.
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✔ Non-Invasive & Comfortable – Uses passive sensing without emitting energy into the tissue.
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✔ Hybrid Remote & In-Clinic Model – Clinical studies show that combining remote monitoring with periodic in-clinic visits improves patient compliance and clinical outcomes​.
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✔ AI-Powered Data Processing – Cloud-based analysis supports real-time monitoring and future predictive analytics for maternal-fetal health.

Future Applications of AI in Maternal Care

INVU’s data platform is being developed to support machine learning and AI-driven decision support, with future applications in:
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  • Predicting maternal and fetal conditions such as pre-eclampsia, gestational diabetes, and preterm birth risks.
  • Providing automated clinical insights to obstetricians.
  • Expanding remote monitoring solutions globally
  • AI-Powered Data Processing – Cloud-based analysis supports real-time monitoring and future predictive analytics for maternal-fetal health.

Collaboration with Sheba Medical Center

NUVO has partnered with Sheba Medical Center’s ARC Innovation Program, a global leader in healthcare innovation, to develop AI-powered clinical decision support tools for pregnancy monitoring​. This collaboration focuses on:
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  • Developing AI-driven models for early detection of pregnancy complications.
  • Enhancing clinical decision-making with predictive analytics.
  • Conducting population health analysis to improve prenatal care outcomes.


As part of Sheba’s initiative to integrate AI in hospital-wide healthcare transformation, NUVO’s technology will be incorporated into clinical workflows to provide obstetricians with real-time insights​.

Future of AI in Pregnancy Care

NUVO’s INVU™ Data Platform is designed to evolve continuously, leveraging machine learning (ML), digital signal processing, and real-world clinical data to improve maternal and fetal health outcomes. NUVO is advancing AI-driven health insights, predictive analytics, and decision-support tools for obstetric care by collecting physiological and clinical data from diverse environments.
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As the platform expands, NUVO aims to:
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  • Develop AI-powered diagnostics that detect early signs of maternal and fetal complications.
  • Improve population health outcomes by integrating large-scale physiological and clinical datasets into healthcare decision-making.
  • Advance remote and hybrid care models that provide seamless, real-time monitoring and predictive insights for both clinicians and patients.


With proprietary AI models, secured data processing, and an expanding clinical footprint, NUVO is setting new standards in remote pregnancy monitoring and digital maternal health




The information provided on this website is for informational purposes only and is not intended as medical, financial, legal, or investment advice. For the complete forward-looking statement, please visit this page.