Chicago, USA & Pune, India, December 15, 2020: Neurealm, an emerging leader in the medical devices industry, and a leader in product engineering, today announced it is teaming up with iO life science, a design and development firm dedicated to transforming lives through the innovation of smart, connected, patient-centric devices. Neurealm and iO life science will provide a robust ecosystem of human-centric product design and development expertise coupled with firmware and software product engineering capabilities to its customers and entrepreneurs in the medical devices industry.
iO life science is a full-service partner for medical device innovators providing development capabilities coupled with financial support and access to its extensive network of medical experts. They have worked with entrepreneurs and established clients to design and engineer innovative drug delivery, diagnostic, connected, surgical and implantable medical device solutions.
Neurealm’s expertise across IoT, embedded, communication, cloud and data science technologies offers a perfect full stack engineering skillset to medical device industry innovators. This collaboration will enable startups worldwide to develop regulatory compliant end-to-end MedTech solutions with patient centricity at its core.
“Both iO life science and Neurealm are catering to the fast-growing startup world. We fully understand the challenges these companies go through during their lifecycles. Having an engineering partner who can help with various facets of product development can become a real competitive edge for these entrepreneurs. In this regard, our skill sets complement each other very well and can accelerate the complete product development process for our customers,” –says Nikhil Joshi, VP of Business Development at Neurealm.
Rajan Patel, CEO of iO life science, states- “An integrated approach to medical device development is a must. Equal emphasis on software components and hardware design is critical, especially in the field of diagnostics and implants. Advances in clinical analytics and machine learning have the potential to explode the adoption of medical devices. Through this collaboration, we are striving to bring innovative transformations at both the hardware and software layers of medical devices with a goal to improve patient lives.”
