Elektrofi is a Boston-based biotechnology company focused on developing innovative drug formulation and delivery technologies. The company's breakthrough formulation platform addresses the long-standing need for stabilized, highly concentrated biologics through a proprietary microparticle technology. This technology enables small-volume injections for monoclonal antibodies, therapeutic proteins, and other large molecule drugs, offering significant advantages over traditional intravenous administration methods.
Elektrofi's platform has the potential to revolutionize the treatment landscape across various disease areas and indications. By enabling patient-friendly subcutaneous administration of biologic therapies, the company aims to enhance convenience, reduce healthcare costs, and improve access to life-changing medicines. The technology can transform intravenously administered therapies into convenient, ready-to-use formulations suitable for self-administration at home.
In June 2022, Elektrofi raised USD 40 million in a Series B financing round, which will be used to establish a centralized GMP manufacturing line to support upcoming clinical trials and expand the company's development pipeline. As of June 2022, Elektrofi aimed to double its headcount within the next 12-18 months to accelerate the development of its licensed programs with pharmaceutical and biotechnology partners.
Key customers and partnerships
Elektrofi has formed strategic partnerships and collaborations with several leading pharmaceutical companies, including Takeda Pharmaceutical Company, Argenx, and Janssen biotech. In January 2024, Elektrofi and Janssen biotech entered into a worldwide collaboration and license agreement to develop up to five programs utilizing Elektrofi's formulation technology, with an initial focus on an oncology asset for at-home self-administration.
By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.