Leveraging AI technology to support
high-quality prenatal ultrasound

Fraiya provides obstetricians and sonographers with AI-powered tools that reduce scan time by ~ 42%1 and improve detection of congenital heart disease2.
Our Focus

Conventional ultrasound has known challenges

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Inconsistent
Measurements

Manual biometric measurements vary between operators. That variability isn't just an inconvenience. It has real consequences for diagnostic outcomes across the prenatal pathway.
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Time Consuming
Manual Tasks

Manual biometric measurements and repetitive image capture take a disproportionate share of each scan. They take time that should go to patients.
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Diagnostic
Uncertainty

The risk of missing a fetal condition creates anxiety for practitioners, and contributes to delays in care and to costly downstream consequences for your practice.

One platform.
Two powerful tools.
Built for total scan confidence.

FraiyaScan and FraiyaDetect are designed to work together across the prenatal pathway — starting with the anomaly scan — to improve consistency, reduce workload and raise the standard of care.
Available Now
CE Marked
Overlay of FraiyaScan interface over ultrasound screen when currently scanning. The interface highlights the brain image collection, mirroring brain seen on ultrasound interface. FraiyaScan also displays biometrics.
Overlay of FraiyaScan interface over ultrasound screen when currently scanning. The interface highlights the brain image collection, mirroring brain seen on ultrasound interface. FraiyaScan also displays biometrics.
Available Now
CE Approved
FDA Underway
Overlay of FraiyaScan interface over ultrasound screen when currently scanning. The interface highlights the brain image collection, mirroring brain seen on ultrasound interface. FraiyaScan also displays biometrics.
Workflow Automation

FraiyaScan

Zero-click image capture and automated biometry

AI-powered automation for image capture and biometric measurement, reducing manual interaction with the console so sonographers can focus on the patient.
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FraiyaScan analyses every image in real time to provide consistency, confidence and clarity to every scan.

Try it OutLearn More
In development
FraiyaDetect Interface - video player showing heeart and 4CH highlighted in right hand review bar, where user can choose between normal and anomaly for each anatomical group
FraiyaDetect Interface - video player showing heeart and 4CH highlighted in right hand review bar, where user can choose between normal and anomaly for each anatomical group.
In Developement
CE underway
FraiyaDetect Interface - video player showing heeart and 4CH highlighted in right hand review bar, where user can choose between normal and anomaly for each anatomical group
Secondary Review Automation

FraiyaDetect

Transforms whole scans into a structured review-ready workflow

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↑ Diagnostic Rates,
with FraiyaScan2

Coming soon, our tool will ensure that the whole scan arrives labelled by anatomical part, with AI-flagged diagnostic insights ready for rapid, confident clinical review.
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For the first time, this enables large-scale, comprehensive review for ultrasound.

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scientific validation

Proven technology, built on clinical evidence

Fraiya's AI models were developed through a decade of research and trials in collaboration with King's College London, King's College Hospital, Imperial College London, and Guy's and St Thomas' NHS Foundation Trust.

Published RCT 

Our models are tested in the only published prospective randomised control trial (RCT) of AI-assisted fetal anomaly scanning1 in the world.
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NHS Trial Ongoing

One of the largest prospective NHS trials  — 9,500 patients across four major hospitals.
Read More
integration

Designed to work inside your hospital, not around it

Compliance

NHS DSPT logo
Scarlet ISO 13485 Logo
CE 3022 Logo
Cyber Essentials Certified Logo
* FraiyaDetect's CE marking is in progress.

Integration

Ultrasound machine agnostic
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DICOM compatible
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PACS & reporting packages integration
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Minimal IT overhead
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Data Flow

With FraiyaScan, patient data never leaves your network.
diagram: With FraiyaScan, patient data never leaves your network. it stays on site during data collection and is then sent to PACS. diagram: With FraiyaScan, patient data never leaves your network. it stays on site during data collection and is then sent to PACS. diagram: With FraiyaScan, patient data never leaves your network. it stays on site during data collection and is then sent to PACS.
With FraiyaScan + FraiyaDetect, only anonymised data reaches the cloud.
diagram: With FraiyaScan and fraiyadetect, patient data stays on site during data collection with fraiyascan and is then sent to PACS. It can also be anonymised, sent to the cloud, to be explored via our review platform fraiyadetect.diagram: With FraiyaScan and fraiyadetect, patient data stays on site during data collection with fraiyascan and is then sent to PACS. It can also be anonymised, sent to the cloud, to be explored via our review platform fraiyadetect.diagram: With FraiyaScan and fraiyadetect, patient data stays on site during data collection with fraiyascan and is then sent to PACS. It can also be anonymised, sent to the cloud, to be explored via our review platform fraiyadetect.

Ready to raise the standard of care in your practice?

FraiyaScan is already live across a number of clinical sites. If you'd like to bring it to your team, we'd love to hear from you.

Request a Demo
Contact Us
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.