An AI for help. 

​Getting help during a harmful situation requires many tasks to be completed simultaneously.  Smart devices have enormous potential to assist in these cases.  They can be used to communicate with people, access important information and operate from within your pocket. Flare looks to takes advantage of these features to create software that can provide autonomous and intelligent assistance during an emergency.  


Over 1/3 of people aged 65 and over fall each year.  Often, this results in the individual spending many hours on the floor, unable to seek help, which increases the risk of serious health problems and loss of independence. We are building a solution that is able to detect falls and provide a personalised response that's able to work for the individual's own needs and abilities.  Responses can range from simply providing advice for getting off the floor, to immediately notifying an emergency contact. 


Flare is a mobile, wearable and cloud based system. It autonomously detects significant events in the environment using device sensors, such as the accelerometer, microphone and GPS. These data streams are processed by machine learning algorithms, which take into account information about the user and their preferences, to build a picture of the situation and appropriate courses of action to take.  

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Daniel Keitley

Daniel Keitley is a PhD student at the University of Cambridge studying Mathematical Genomics and Medicine. Having completed his masters and undergraduate degree in Mathematics and Computer Science at the University of Bristol, Daniel is passionate about using technology to solve problems in medicine and healthcare.  Through immediate family, Daniel has witnessed the increasing pressures on the NHS and emergency services, and so building upon his experience of programming, machine learning and cloud computing, Daniel created Flare with the belief that technology can help tackle these challenges and make people safer.  

James Keitley

James Keitley is a doctor at the Royal United Hospitals Bath NHS Foundation Trust having graduated with honours from The University of Manchester. He also holds a first-class honours degree in Innovation and Enterprise in Clinical Medicine and has experienced innovation in emergency care while working with internationally-renowned pre-hospital care providers at the Sydney Helicopter Emergency Medical Service.  James is excited to use his knowledge of clinical practice to direct Flare towards the most critical problems in pre-hospital care.