axial3D has announced the closing of a USD $3million funding round.
The investment will see the company increase headcount at its Belfast base, and support its recent expansion into the US market.
The pioneering company is developing an automated 3D printing solution for the healthcare sector which is dramatically advancing the standards and efficiency of surgery worldwide.
The funding round was led by London-based Imprimatur Capital Fund Management, an international science and technology investor. The round was also supported by a US investment consortium consisting of a number of surgical angel investors.
The investment will support axial3D’s rapid growth plans for the USA. The company plans to open an office in the region following recent customer wins, and as other healthcare institutions sign up to the service.
The firm is creating roles within the expanding US market and at its base in Belfast to support the large growth and ensure continuous innovation.
Making 3D Printing Easy for Hospitals
There’s a big focus on expanding its machine learning team, which builds ground-breaking automated algorithms that make access to medical 3D printing easier than ever for hospitals.
Daniel Crawford, Founder at axial3D, said, “The closure of this investment round marks an important milestone for our company. It will accelerate our growth within our expanding markets and enable us to bring our 3D printing solution to more healthcare organizations, helping them to drive down costs, improve compliance and ultimately, enhance patient care.”
He continued, “Continuous innovation is crucial to bring the best solutions to market and keep up with customer demand. Following our recent collaborations with Tallahassee Memorial Healthcare and University Hospital Basel, we will focus further on the North American and European markets. This includes opening an office in the USA, and recruiting more talent into our team, particularly to grow our machine learning capability. This will enable us to continue to innovate and find new ways to bring 3D printing on-demand to the entire healthcare sector.”
Dr. Christopher Rumana, Neurosurgeon & Charmain of the Board at Tallahassee Memorial Healthcare (TMH), has been a user of axial3D’s medical 3D printing service since 2018 and is part of the cohort who are now investing in the company.
“axial3D has built a scalable, accessible platform for clinicians to access 3D printing without the capital expenditure or manpower traditionally required. Having been in the medical field for over two decades, I have seen how technology improves patient care. With TMH being a user of axial3D’s service, our own patients have been positively impacted by the use of 3D printing. I want to see this service adopted in more healthcare institutions across the USA so that everyone who needs it can benefit from the technology.”
Since 2011, Dr. Rumana has been a member of the Board of Directors at Tallahassee Memorial Hospital, where he currently serves as the Chairman of the Board.
Medical 3D Printing is Growing…
The global 3D printing medical devices market is projected to see a compounding annual growth rate of 23%, largely due to the increasing adoption of 3D printing technology within the medical sector.
axial3D has a range of solutions for healthcare institutions at every stage of their 3D printing journey, from those needing a one-off custom print, to those with an existing 3D print lab hoping to increase compliance and productivity, while reducing operating costs.
axial3D is a pioneering UK based medical 3D printing company specializing in the use of patient-specific medical models to advance both standards and efficiency of surgical intervention. Creating precise 3D models generated from patient CT, MRI and PET data, this technology enhances pre-operative planning by personalizing healthcare. Bespoke 3D printed models are relied upon by prominent surgeons globally.
3D printed models give insights beyond traditional medical imaging…
Don’t just take our word for it. Try axial3D today with a free patient-specific 3D printed model of your next patient case.