Biomedical start-up Adapttech has successfully raised £2.2 million from investors.
The company, which has an office in Queensway, Birmingham, has secured the cash from a group of investment firms including Mercia Asset Management, ACF Investors, Wren Capital and Wealth Club.
Adapttech will use the new funding to further develop smart, wearable technologies to help people with physical limitations improve their quality of life.
It has also upgraded its flagship INSIGHT system with a new range of products that make it faster and easier to fit lower-limb prostheses and improve patient outcomes.
Adapttech CEO Frederico Carpinteiro said: "With the new INSIGHT range, we're responding to requests for a scanner-less system, reduced hardware costs, and improved data collection.
"This new funding comes at a time when we are developing exciting new technologies to benefit our orthotics and prosthetics (O&P) clinic customers and their patients. We look forward to continuing our trajectory in growing our revenues, product portfolio, and international business operations."
Stephen Windsor, investment director at Mercia, said: "Adapttech brought its first product to market during 2021, successfully securing a number of sales. We are delighted to be supporting the team with a follow-on investment to continue to scale the business and build out the product portfolio."
Paul Fauset, partner at ACF Investors, added: "The unique IP at the heart of Adapttech's products means there is a great opportunity for the company to become a leader in the orthotics and prosthetics industry, with smart technologies that are improving the quality of life for users. This latest round of funding builds on the team's success and we look forward to seeing the business grow as it accelerates product development."
The funding announcement comes after Adapttech recently signed licensing deals with Modus Health for its StepWatch step-count software, the University of Washington for the PLUS-M self-reporting tool and Advanced Rehabilitation Therapy for its amputee mobility predictors.
