LIVV Health
History
Sverre Sundsdal, a software engineer from Norway, has long been passionate about harnessing the power of data to transform healthcare. His professional journey began at Google, where he recognised the immense potential of data. Later, his work at Babylon Health exposed him to the capabilities of artificial intelligence (AI) in health management. Yet, one critical obstacle stood in the way: data fragmentation. Sverre observed that each doctor holds only a fragment of a patient’s health information, making it difficult to deliver holistic and personalised care. While sophisticated AI tools exist, they remain underutilised due to this fragmentation. Resolving this issue became Sverre’s mission and, in 2023, he founded Livv Health to realise this vision.
The goal of Livv Health is to process and centralise all of a patient’s health information so that individuals can access the best possible care.
Livv Health began with a minimum viable product (MVP) aimed at aggregating patient data for those who requested it, for a fee. Early adopters included frequent travellers, who needed seamless access to their health records when receiving care abroad. Machine translation capabilities were incorporated to make health documents accessible across languages. When demonstrated to doctors, reactions were mixed. Some resisted the idea of patients having such comprehensive access to their data, while others recognised the mutual benefits: empowering patients also streamlined care for healthcare providers.
Over time, Livv shifted its focus to serve anyone who wished to take ownership of their health. This includes patients aiming to be proactive and professionals such as physiotherapists and health coaches who value collaboration with their clients.
As of 2025, Livv Health primarily partners with private healthcare clinics and doesn’t target public hospitals. Clinics provide Livv to their doctors free of charge, enabling them to use the platform with their patients. Individual patients can also use Livv for free and share data with any doctor, even if the clinic has not adopted Livv. However, doctors using the free version have access to fewer features.
Features
The Livv app offers a range of features designed to enhance the healthcare experience for both patients and professionals:
Consultation Preparation: Patients can prepare for appointments by summarising their conditions within the app. The app prompts them with additional questions to ensure they provide comprehensive information and allows them to upload relevant files. This data is then organised into a timeline.
Data Sharing: During consultations, patients can share selected data with their doctor by scanning a QR code generated by Livv. The doctor receives a summary prepared by AI, with options for translation and consultation transcription.
Wearable Integration: Data from wearable devices are automatically pulled and categorised within Livv.
Messaging and Care Plans: Livv enables direct communication between patients and professionals. Professionals can also send personalised notifications and questionnaires, which AI helps patients complete.
Data Organisation: The app groups data by consultation type.
Challenges and areas for improvement
One of the main challenges encountered by Livv has been resistance from some healthcare professionals, who are wary of the shift in power dynamics that occurs when patients have full access to their health data.
The lack of integration with electronic health records (EHRs) remains a limitation. Currently, data must be entered manually by patients and professionals or pulled from wearable devices. However, Livv is exploring opportunities to address this gap.
Screenshots
 On the homepage of the Livv app, patients have multiple options: they can prepare for a consultation; upload their documents; or share their data with a doctor. |
 Clicking on ‘Share’ within the ‘Share files securely now’ on the homepage, patients can start the process of sharing their data with a doctor. |
 Doctors will have to open the webpage livv.new on their device. A QR code will appear, that the patient will have to scan.
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 Patients can then select the data they want to share with the doctor.
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 By clicking on ‘Get ready’ on the homepage, patients can prepare for a consultation. This is done by answering questions generated by AI, as well as attaching documents and wearable data.
|  Patients can begin by describing their symptoms and providing relevant medical history for their upcoming consultation. The AI will then guide them with additional questions. |
 Patients can add documents.
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 Patients can connect their wearables. |
