The future of surgical planning

Creating 3D models from medical scans powers high-quality, safe surgical care.

Our solution

Applying deep learning technologies to aid surgeons

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    From scans to 3D models

    We use standard-of-care CT and MRI scans as the input into our algorithms. We then apply interactive machine learning to extract the patient’s anatomy from the scan, which is viewed as a 3D model.

  • 3D Model

    Enhanced operative planning

    Surgeons use this information to decide on the best possible plan for the patient. The 3D model can be viewed on mobile devices, in Virtual Reality, 3D printed, and used as part of augmented reality applications.

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    Improved surgical outcomes

    Through improved surgical planning we reduce the risk of complications, allowing more patients to be selected for minimally invasive surgery. The result is shorter hospital stays and reduced costs to healthcare providers.

Surgeons at work
“This technology has revolutionised my approach for complex operations.”
Mr Faiz Mumtaz (MBBS, MD, FRCS), Royal Free Hospital, London

Meet the team

Innersight Labs is a multi-disciplinary team of passionate people with the unique skill-set to create the world's leading surgery planning platform.

  • Dr Eoin Hyde

    Eoin Hyde


    Eoin is an Enterprise Fellow of the Royal Academy of Engineering with a PhD in Computational Physiology from the University of Oxford. He previously worked as a researcher on cardiac medical devices at St Thomas’ Hospital and King's College London.

  • Neha Tanna

    Neha Tanna

    Business Development

    Neha is a practicing doctor and holds an MBA from the London Business School. She also has three years business development experience at Merck Pharmaceuticals.

  • Lorenz Berger

    Lorenz Berger

    Chief Scientist

    Lorenz holds a PhD in Computer Science from the University of Oxford and previously worked as a Machine Learning researcher at University College London.

  • Matt Gibb

    Matt Gibb


    Matt holds a PhD in Computer Science from the University of Oxford and previously worked as a Machine Learning engineer at Tesla.

  • Andrew Barker

    Andrew Barker


    Andrew has over 30 years’ experience as a senior manager, non-executive director, and investor in medical imaging and software businesses.

  • Seb Ourselin

    Sebastien Ourselin

    Scientific Advisor

    Seb, a Professor of Medical Image Computing, heads the School of Biomedical Engineering and Imaging Sciences at King's College London. He has 15 years' experience of translating surgical planning research into clinical practice.

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