Gendius defies COVID-19 with record growth
Manchester digital health start-up Gendius defies COVID-19 with record growth
Manchester-based digital health start-up Gendius has defied the odds for 2020 and grown its team for the second time this year with 8 new hires since Jan 20, meaning that it has effectively doubled in size in 12 months. The Company successfully raised over £300,000 on the crowdfunding platform Crowdcube earlier this year, is currently seeking additional an additional £5.8 million investment, and has seen record growth of its remote management platform for diabetes, Intellin®.
Gendius’ CEO, Rory Cameron, comments, “Remote management is an increasingly hot topic thanks to COVID-19 and lockdowns all over the world, because healthcare systems are having to re-evaluate how they manage patients with long-term conditions, especially if they are vulnerable to the coronavirus. Our technology gives people with diabetes more control over their own disease management, and also allows healthcare professionals to accurately monitor disease progression and complications risks.”
He continues, “The increased interest in Gendius, and our accelerated growth in 2020 has allowed us to add tens of jobs to the local economy, and we are happy to be contributing to the North West’s start-up boom.”
Since launching in 2019, Gendius’ Intellin® platform has seen rapid and sustained growth. It now has more than 400,000 downloads, and more than 70,000 monthly active users, with a year on year growth rate of 8,877%. The latest mHealth economics research shows that fewer than 7% of all mHealth solutions ever reach 50,000 monthly active users (Research2Guidance).
Intellin® is powered by artificial intelligence, designed to help people with diabetes to actively track and monitor their condition. Its key innovation is utilising users’ clinical data to highlight their risk for developing diabetes-related complications, such as cardiovascular disease, kidney disease, amputation, and blindness.
Intellin® uses an individual’s health and wellness data to provide personalised, tailored, clinically-validated educational content and guidance. Its smart algorithm assesses users’ comprehensive healthcare information, which can be manually inputted, collected via a direct link to a patient’s medical record, or automatically synced from a connected smart device, in order to highlight the most likely areas for diabetes complications.
