
Axial3D
AI-powered medical imaging for patient-specific surgical solutions.
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* | $18.2m | Late VC | |
Total Funding | 000k |
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Axial3D is a medical technology company that provides AI-powered, patient-specific 3D anatomical models and imaging data to the healthcare sector.
Founded in 2014 by Daniel Crawford, the Belfast-based company was born from his background in biomedical engineering and medical visualization. Crawford was inspired to start the company during his postgraduate research after creating a 3D-printed model of a traffic collision victim's anatomy, which revealed the potential for such technology to revolutionize surgical planning. His goal was to make patient-specific care a routine practice globally.
The company's core offering is its FDA-cleared, cloud-based platform, Axial3D INSIGHT™. This platform uses artificial intelligence and machine learning algorithms to automatically convert 2D medical scans, such as CT and MRI images, into precise, data-rich 3D visualizations and printable files. This automated process significantly reduces the time and technical expertise required compared to manual segmentation. The resulting 3D models can be digital or physically 3D-printed, mimicking human tissue and bone to offer detailed anatomical insights that are not possible with 2D imaging alone. These models are used for pre-surgical planning, diagnostic support, medical device testing, and the creation of custom implants and surgical guides.
Axial3D serves hospitals, surgeons, and medical device manufacturers. Its business model includes providing its automated segmentation platform as a service, selling physical 3D-printed models, and offering joint solutions with partners. By enabling clinicians to rehearse complex procedures and better visualize patient anatomy, the company helps reduce operating room time, improve surgical outcomes, and enhance patient communication. The company has received substantial funding from investors including Techstart Ventures, Stratasys, 57 Stars, and Invest Northern Ireland.
Keywords: medical 3D printing, AI medical imaging, surgical planning, patient-specific models, anatomical models, DICOM segmentation, preoperative planning, custom medical devices, personalized healthcare, medical visualization, orthopedic surgery, cardiovascular surgery, 3D surgical guides, medtech, healthcare technology, surgical simulation, custom implants, medical image analysis, cloud-based healthcare, precision medicine