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We believe that diagnostics are the foundation of modern medicine

After experiencing personal and family medical challenges that hinged on an accurate diagnosis for timely intervention, we were determined to advance this field. ​

So, we spoke to clinicians across the UK & USA to identify the problem and built a solution. ​

Single platform. Multi-disease. Compounding impact.

Behind every data point is a person waiting for an answer

Transparent

Clinical decisions demand trust. We prioritise transparency, ensuring our algorithms perform precisely as claimed, providing understandable and reliable results.

Impactful

Motivated by our vision and belief in collaborative effort, we are passionate about solving difficult, real-world medical challenges to make a genuine difference.

Agile

Our modular platform means progress compounds: every indication we tackle builds on the last, so we expand quickly and deliberately without rebuilding from scratch.

Core team

Scott brings extensive expertise, holding a background in Biomedical Engineering (MEng) with a specialisation in Medical Devices. Currently in the final stages of completing his PhD, Scott's research focuses on developing computational models for surgical planning and outcome prediction.

Dr Scott Black

CEO & Co-founder

Yola brings a wealth of knowledge to the team with her background in Software Engineering (MSci) and a completed PhD in precision medicine. With a specialisation in using machine learning, Yola's research focuses on predicting sudden death and other catastrophic events, paving the way for advancements in medical technology and patient care.

Dr Yola Jones

CTO & Co-founder

Innes brings valuable experience, with a background in Health Economics (MSci) and valuable experience in medical sales at Johnson & Johnson. Furthermore, with over 12 years of startup experience, Innes has successfully scaled and exited his own medical device startup.

Innes Taylor

Commercial Director

Matthew is a highly skilled member of our team, with a background in Biomedical Engineering (MEng) and a PhD in Intelligent Sensing and Measurement. During his studies, he specialised in analysing the properties of complex fluids using machine learning techniques.

Dr Matthew Smith

Machine Learning Engineer

Jack's expertise is rooted in his background in Physics (MSci) and his PhD in Intelligent Sensing and Measurement. His research is centred on advanced photonics and development of machine learning models relating to computational imaging and sensing for healthcare applications

Dr Jack Radford

Consultant Machine Learning Engineer

Paul holds a Master's degree in machine learning and artificial intelligence, with an academic career enhanced by valuable startup experience from his previous roles. Paul's expertise focuses on neural networks, deep learning, computer vision, and pattern recognition, making him a vital part of our team

Paul Dreczkowski

Machine Learning Engineer

Richie adds a wealth of knowledge to the team with a background in Theoretical Physics (MPhys, First-Class Honours) and a PhD in Mathematical Sciences. Specialising in machine learning and computer vision, Richie’s research has focused on the development of bespoke deep learning algorithms for high-resolution brain imaging, bridging the gap between complex theoretical ideas and practical applications in neuroscience.

Dr Richie Dadhley

Machine Learning Engineer

Toby brings strong expertise to the team with a background in Computer Science (BSc, First-Class Honours) and a Master’s degree in Intelligent Vision (MSc, Distinction). With a specialisation in computer vision and deep learning, Toby’s work has focused on enhancing model performance through synthetic data and developing machine learning pipelines for object detection and segmentation.

Toby Smith

Machine Learning Engineer

Ian is a qualified Chartered Accountant with a wide variety of post qualifying business experience. He has worked in mergers & acquisitions advisory before taking on a number of commercial, business development and operational roles in industry. Through working with SMEs since January 2011, Ian brings start up, high-growth and turnaround experience.

Ian Marshal

Part-Time CFO

Collaborating Clinicians

Dr Haytham Kubba

Consultant Paediatric Otolaryngologist, Royal Hospital for Children, Glasgow

Dr Ruth Hamilton

Consultant Clinical Scientist, Royal Hospital for Children, Glasgow

Board & expanded team

Scott brings extensive expertise, holding a background in Biomedical Engineering (MEng) with a specialisation in Medical Devices. Currently in the final stages of completing his PhD, Scott's research focuses on developing computational fluid dynamics models to simulate blood flow in arteries.

Ian Marshal

Part-time CFO