Fraiya Ultrasound

Our Suite

Meet Fraiya's AI-enabled tools that halve examination times, improve screening and diagnosis, and work seamlessly on all ultrasound machines. The Fraiya Platform connects obstetric scanning departments with Fraiya for improved service delivery. We deploy an accessory called FraiyaScan on each ultrasound machine, providing real-time AI assistance to sonographers performing mid-trimester anomaly scans. FraiyaScan connects to FraiyaHub’s cloud storage to stream every scan to our expert reviewers, who perform an AI-assisted secondary review of each examination using an internal tool FraiyaDetect.

FraiyaScan

Real Time Scanning Assistance

Links to any ultrasound machine to refine screening workflow

FraiyaDetect

Expert Peer Review Service

Double reporting to increase diagnostic confidence with rapid turnaround times

FraiyaHub

Whole Scan Upload and Storage

Connect you to your data and next generation AI tools

Our Team

Meet Fraiya's Founding Team of World-Leading Clinicians, Engineers and Scientists

Professor Reza Razavi

Chief Executive Officer

Clinician Scientist and pediatric cardiologist working in medical imaging and AI with many world-first into clinical practice, such as interventional cardiovascular MRI and fetal cardiac MRI. Major leadership roles across university and hospital including Vice President (Research) at KCL.

Dr Jacqueline Matthew

Chief Medical Officer

Clinical academic sonographer in fetal imaging (ultrasound and MRI studies) MSc, MClinRes, PhD candidate, and well regarded leader. Researcher and innovator in clinical practice, prepared to challenge the status quo to improve services and patient outcomes.

Dr Samuel Budd

Chief Technical Officer

PhD in Medical Image Computing from Imperial College London. Background in Computer Science, Software Engineering and Machine Learning. Entrepreneurial spirit. Passionate about the translation of medical AI research into market ready products and devices, and delivery Fraiya's mission.

Dr Thomas Day

Senior Clinical Advisor

Academic Consultant Paediatric and Fetal Cardiologist at Guys and St Thomas’ Hospital. Research interest in medical AI applied to fetal ultrasound. Awarded the Centre for Translational Medicine Clinical Research Excellence Fellowship, to explore how clinicians and AI collaborate in fetal scans.

Professor Bernhard Kainz

Senior Technical Advisor

Professor of Computer Science Imperial College London, FAU. Scientific advisor for ThinkSono Ldt., Cydar medical Ldt., Ultromics Ldt. Real-time computing and Machine Learning enthusiast. Works on intelligent algorithms in healthcare and self-driving medical image acquisition that can guide human operators in real-time.

Professor Joseph Hajnal

Senior Scientific Advisor

Academic physicist and founder of IXICO, listed on AIM. I focus on medical imaging to bring healthcare benefit via technology innovation. Created and run large scale medical technology research projects and hold university leadership roles, and brings this experience to Fraiya's science strategy.

Dr Robert Wright

Senior AI Engineer

Experienced AI scientist with 12+ years in fetal medical image computing (MRI, US). PhD from Imperial College London. Research Associate at King's College London, excelling in algorithm development and translating research into practical solutions, and bringing this experience to Fraiya's AI.

Dr Alfonso Farruggia

Head of Engineering

Alfonso Farruggia, PhD is a Technical Lead and Solution Designer skilled in leading cross-functional teams. He co-founded a venture-backed Italian startup, leading the engineering team from prototype to market, and brings this experience and more to lead Fraiya's product engineering.

Dr Lorenzo Venturini

Senior AI Scientist

Machine learning scientist working on applying AI to medical image data. I completed my D.Phil. at the Oxford Centre for Machine Learning in Neuroimaging (OMNI), working on applying machine learning methods to 3D fetal ultrasound images, and brings this experience to Fraiya's research