Innersight

Innersight Labs, founded in 2015, develops an artificial intelligence-based software platform for surgical planning. The company was founded in London by Oxford graduates Eoin Hyde and Lorenz Berger, who were later joined by Matt Gibb. The founders' expertise spans computational physics, machine learning, and cloud software development, which is central to the company's technology.

The core product, Innersight3D, is a software-as-a-service (SaaS) that converts standard medical CT and MRI scans into patient-specific, interactive 3D anatomical models. This platform automatically identifies different tissue structures and abnormalities from the scans to create detailed virtual models. Surgeons can access these models via a web link on mobile and desktop devices, eliminating the need for new hardware. The service is designed to be affordable, secure, and offers a fast two-day turnaround from receiving the scan. The business model is based on annual hospital subscriptions, with pricing dependent on the model type and number of cases.

By providing a more accurate preoperative assessment, the technology aims to reduce operation times, minimize the risk of surgical complications, and enable more patients to benefit from minimally invasive surgery. The AI-driven algorithm significantly reduces the manual effort and cost compared to other 3D modeling methods. The primary clients are surgeons and hospitals, with the platform being used for procedures like robotic partial nephrectomy.

In January 2024, Innersight Labs was acquired by the German medical technology company KARL STORZ for an undisclosed amount. This acquisition integrates Innersight's AI capabilities into KARL STORZ's portfolio of endoscopy, medical devices, and robotics, aiming to enhance solutions for laparoscopic and robotic surgery. Prior to the acquisition, Innersight had received funding from investors including Entrepreneur First, UCLB, and Panacea Stars.

Keywords: surgical planning, 3D medical modeling, medical imaging software, artificial intelligence, machine learning, HealthTech, MedTech, CT scan visualization, MRI scan visualization, preoperative planning, minimally invasive surgery, computational physics, patient-specific anatomy, surgical robotics, deep learning, digital surgery, cancer surgery, robotic partial nephrectomy, cloud-based medical software, KARL STORZ