Solutions

The Fraiya Platform: two powerful tools built for total scan confidence

FraiyaScan automates the repetitive tasks involved in prenatal scanning. FraiyaDetect adds an AI-powered layer to the secondary review process.
The platform covers the complete workflow, from the moment the probe is picked up to the final report.

Available Now
20-week Anomaly Scan
FraiyaScan Logo
Workflow automation for image capture, biometry and reporting
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In Development
20-week Anomaly Scan
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AI-powered secondary review at scale, coming soon
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FRAIYASCAN

42% faster scans. Consistent measurements. Zero extra clicks.

A routine anomaly scan demands an extraordinary amount from the sonographer simultaneously: capturing images, measuring, tracking standard planes and staying alert for abnormalities, all on a moving fetus. FraiyaScan removes the manual burden so the sonographer can focus on the patient.
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Zero-Click Image Capture

Automatically detects and saves all required standard planes from the screening protocol. No manual capture needed. No interruption.
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Consistent Biometry

Patented technology measures biometric parameters continuously throughout the acquisition. AI biometry is more consistent than human measurements.
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Auto Reporting

Integrates with your existing obstetric reporting packages or generates comprehensive reports. Images and measurements are sent to PACS in a single click.
FRAIYASCAN

How it Works

hand plugging ipad to ultrasound machine through HDMI cable

1. Connect

Connects to your existing ultrasound machines via HDMI. Department-wide licence, one installation.

Illustration showing fetal ultrasound scan types: face profile, 4-chamber heart, longitudinal spine, and transverse head, alongside a monitor and tablet connected via HDMI input.

2. Scan

Sonographer scans as normal. FraiyaScan captures standard planes automatically in the background.

Illustrations of ultrasound scans showing a fetal face profile and a transverse head view, connected to a device via HDMI input.

3. Measures

Biometry taken continuously and automatically, with real-time feedback displayed on growth charts.

Medical monitor screen displaying ultrasound report with transverse head and longitudinal spine images, and a finger pressing the 'Send to PACS' button.

4. Report

Images and measurements transferred into PACS and reporting packages in one click.

Available Now
20-week Anomaly Scan
hand plugging ipad to ultrasound machine through HDMIIllustration of a medical tablet connected via HDMI to a larger monitor displaying ultrasound scan types: face profile, 4-chamber heart, longitudinal spine, and transverse head.Illustration of ultrasound screens showing fetus face profile and transverse head views, connected to a device with HDMI input.Medical monitor screen showing ultrasound report images with a finger pointing to a 'Send to PACS' button.
FRAIYASCAN

Outcomes

CE certified and ready for deployment across Europe. FraiyaScan was evaluated during the PROMETHEUS study, the only published randomised control trial (RCT) of AI-assisted fetal anomaly scanning in the World.1
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Reduced Scan Time1

~20 min → ~12 min  (~42% reduction)
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Reduced Cognitive Load1

Measured by NASA Task Load Index
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Measurement Consistency1

AI outperformed human-to-human repeats
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Read More About the RCT
FraiyaDetect

A second opinion on every scan, powered by machine learning.

Despite advances in prenatal care, approximately half of congenital heart disease cases are still not diagnosed before birth, which has serious consequences for babies, families, and healthcare systems.
Our technology uses machine learning to automatically analyse scan data and surface potential findings for clinical review.

It's not a replacement for clinical judgement. It's the safety net that reinforces it.
Laptop icon with a play button symbol in the center of the screen.

Organised scan review

Labelled clips allow rapid navigation and assessment of scans.
icon of a Heart with a magnifying glass finding something on it

Cardiac risk flagging

Risk assessment of main congenital heart diseases is integrated.
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Department-wide oversight

An overview dashboard provides top-level visibility of secondary review results, providing auditable records that senior clinicians can access.
FraiyaDetect

How it Works

Illustration of an ultrasound device connected to a computer screen, with a video thumbnail showing a fetus image in between.

1. Scan and Send

FraiyaScan captures and measures as normal. The whole scan is automatically pre-labelled and sent to FraiyaDetect.

Computer screen displaying risk scores for three diseases with a heart ultrasound image and video playback bar.

2. AI analysis

ML models extract and analyse standard view clips from the scan, assigning risk scores for heart diseases.  

Computer screen displaying a sagittal spine ultrasound image with options to select normal or anomaly and different spine views.

3. Review

The secondary reviewer navigates the pre-labelled clips and has quick access to areas of concern.  

Illustration of a doctor at a desk clicking 'SUBMIT REPORT' on a computer screen displaying a medical report with heart ultrasound image and text labels normal, anomaly, and overall.

4. Submit

Supporting evidence is collated and actions can be taken for clinical follow-up. Findings are logged for governance and audit.

In Development
20-week Anomaly Scan
Illustration showing a tablet connected with a cable on the left, an ultrasound video icon in the center, and a monitor on the right with an arrow indicating video transfer.Computer screen displaying a medical ultrasound image of a heart with a sidebar listing risk scores for three diseases and high-risk clip options.Computer screen displaying a sagittal spine scan with options to select spine condition and view type.Illustration of a medical professional at a desk with a computer screen displaying a report showing normal and anomaly sections, a heart scan image, and a submit report button.
FRAIYADetect

Outcomes

The potential of AI-assisted remote second review in fetal anomaly screening was validated by peer-reviewed research by Day et al. Our FraiyaDetect algorithms unlocked:
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↑ Diagnostic Accuracy2

when paired with FraiyaScan2
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Read the Paper

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¹ All claims are based on results from a study conducted using a prototype, pre-CE marked research system. (Artificial Intelligence to Assist in the Screening Fetal Anomaly Ultrasound Scan (PROMETHEUS): A Randomised Controlled Trial, Day et al. NEJM AI 2025)² All claims are based on results from a study conducted using a prototype, pre-CE marked research system. Feasibility study, n=48 (Video Clip Extraction From Fetal Ultrasound Scans Using Artificial Intelligence to Allow Remote Second Expert Review for Congenital Heart Disease, Day et al., Prenatal Diagnosis, 2025). Combined AI second review with initial scan; further validation ongoing. Real-world outcomes may vary.