We believe innovation and diagnostics are the foundation of modern medicine

After experiencing personal and family medical challenges which hinged on an accurate diagnosis for timely intervention, we were determined to contribute to this field. So, we spoke to clinicians across the UK, where we identified a crucial gap – paediatric sleep disorders. Children are underrepresented and overlooked in the medical industry, yet the benefit of preventative healthcare is clear. It sets the stage for a life filled with opportunities instead of health burdens.

Every child deserves the right diagnosis and treatment to live a healthy life

Transparent

We prioritise transparency and honesty, ensuring our diagnostic software performs 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

We pride ourselves on our ability to move quickly and adapt to change. As we grow and learn as a team, we continually identify opportunities to scale and improve.

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.

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

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

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

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