We build solutions that save lives and improve health system efficiency. Our solutions are usable, trustworthy, validated, and reliable - values and approaches that are embedded in all that we do.
We develop cutting-edge machine learning algorithms and publish our insights. We work tirelessly to apply our research, industry experience and technical knowledge to create real-world practical solutions that impact communities for the better.
We have a world-class team that is passionate about providing better access to healthcare for everyone.
Find our more about our mission, team and how to join us below.
An opportunity to do your most meaningful work.
We're always excited and curious to hear from brilliant, like-minded people. Find out more about the qualities we look for and current vacancies below.
We all work towards realising these values and behaviours everyday - does this sound like you?
Mission driven. Committed to doing something that will help people or planet. You have the integrity to deliver to the highest standards with a strong sense of accountability to yourself, the team and our customers.
Introspective. Emotionally intelligent. You are quietly confident in your capabilities. You openly acknowledge both your strengths and successes, and weaknesses and failures. You are open, transparent and willing to show vulnerability.
Output driven. Reliable. You present solutions, not questions. You know when to think fast and when to think slow. You understand that responsibility means carrying a piece of the mission, not just walking at the side. You deliver time and again.
Focused on delivering results now and for the future. You are committed to always improving our product, your skills and striving towards growth as part of a high-performance team.
You are courageous and speak your mind but aren't wedded to your views. You enjoy debate but are willing to concede or flex to reach a consensus. You welcome criticism and are always up for a challenge.
We are a diverse team of experts across Machine Learning, Software, Business Operations, NHS, Academia and Social Impact.
Our business in not just about developing world-class AI and software, we all share a passion to make healthcare accessible and affordable.
Transforming Community Health Case Study Series: Care Workers in Care Homes
Feebris' Machine Learning Team Lead, Gareth Jones, publishes case study on Respiratory Rate data quality.
Feebris CEO & Co-founder Elina Naydeonva explores the barriers why Remote Patient Monitoring hasn't scaled further and quicker.
Want to speak to us further about how Feebris could work in your organisation and get a demo of our tools?
Book a demo today or contact us for further information.