Health Founders Estonia introduces accelerator teams using AI across diagnostics, triage, clinical data, diabetes care and more.
In Estonia, patient records already move through shared national digital infrastructure. That gives AI developers a different starting point, and a sharper set of questions: who checks the output, where the data stays, and how a tool fits into a clinician’s working day. Health Founders Estonia, the operator of Estonia’s health technology ecosystem, introduces teams from its accelerator whose work spans cancer diagnostics, follow-up brain imaging, triage, access to clinical data, diabetes care, genetic health insights, women’s health and care for older adults.
The teams in this article are at different stages, from early concept to a CE-marked product preparing for international markets. Their work spans cancer diagnostics, follow-up brain imaging, triage, clinical data, diabetes care, genetic health insights, women’s health, care for older adults and children’s speech development. What many of them share is a design choice: the tool takes on a specific piece of clinical work and is built to show the clinician what it has done, rather than to make the decision for them.
Radiologist workloads and long waits for cancer imaging are a problem in health systems worldwide. Better Medicine develops AI-based solutions designed to help detect cancer at an earlier stage and make imaging diagnostics more efficient. Its first product, an AI solution for detecting kidney tumours in radiology, has received CE marking under the EU Medical Device Regulation. Better Medicine joined our programme for international growth in the first cohort and is now focused on fundraising and expansion to the US market.
Two brain MRI scans can look different even when the patient’s condition has not changed. Different scanners and scan settings can create misleading differences.
Lävi Clinical has developed AI-assisted technology to address this problem. It is already part of Lävi Delta, the company’s software for comparing brain MRI scans over time. Lävi Delta helps radiologists identify changes and warns when a comparison is not reliable. The technology is designed to distinguish real changes in the brain from differences caused by MRI scanners.
Clinical validation is the next step, and preparations for the EU MDR certification process are well underway. Lävi Clinical is in our product development and validation programme.
“Our goal is simple: help doctors see what has changed in the patient, not what has changed in the scanner,” the team says.
Tallinn-based Agent X builds a platform for coordinating AI agents in regulated sectors. Its healthcare application is an AI nurse called Nurse Mari, which guides patients through triage, lab results, medication and aftercare. Rather than closing cases on its own, it prepares each case for a nurse to manage and brings in other specialists when needed. Customers are private clinics, family doctor centres and hospitals; the provider pays, and the app is free for patients. Agent X has initiated an applied research partnership with scientists to investigate how best to manage the changing context of medical cases between humans and AI agents. The company is in our product development and validation programme.
Clinicians spend a large part of their shift moving between systems to piece together a patient’s history. IAMOS Health is building a search bar that plugs into existing clinic software. Using natural language processing, it lets a doctor type a question in plain language and get an answer drawn from the patient’s records in the hospital information system and from X-Road, Estonia’s national data exchange layer. The system runs on local hardware inside the clinic, so patient data stays on site. IAMOS Health is in our early-stage programme.
Living with diabetes means managing diet, activity, medication and sleep every day, while clinicians usually see the data only at appointments. Glurry pairs a mobile app for people with diabetes with a dashboard for their doctor. The app brings together data from glucose sensors, meals, activity, sleep and medication, and uses AI to turn it into simple daily guidance. Doctors see the same data and set personalised goals, so the work on daily habits continues between visits. The app is designed primarily for people with type 1 diabetes and is in public testing on the App Store and Google Play. Glurry went through our early-stage programme in the first cohort and is now in product development and validation.
Intellektist is developing a service that analyses genetic and biomarker data using bioinformatics and AI, and presents the results to users as personalised health and lifestyle insights. The team has its own software, bioinformatics and AI expertise, and is now working towards regulatory clearance and clinical validation. Intellektist is in our early-stage programme.
Each tool described above takes on a defined task, such as supporting tumour detection, comparing scans, preparing a case, finding a record or supporting a patient between visits. Several teams are also addressing regulation early: Better Medicine has CE marking under the MDR, Lävi is preparing for MDR certification, and Intellektist is working towards regulatory clearance and clinical validation. On data and trust, IAMOS keeps patient data on the clinic’s own hardware, and Lävi’s software warns when a comparison of scans is not reliable. These are the questions that decide whether an AI tool is adopted in practice, and we see founders treating them as part of the product rather than as a later hurdle.
The teams above are not the only ones in our programmes building AI into their products. Others, at stages ranging from early concept to product development and validation, are working in women’s health, care for older adults, hearing loss, children’s speech development, clinical data and gut health.
Evie is an AI-based app for personalised pelvic floor care during pregnancy and after birth. It combines tailored workouts with expert support.
AURAGUARD is developing an AI-based home monitoring and communication device for older adults and people with chronic illness. The device is designed to detect incidents and raise an alarm, offers one-tap video calling and connects to home care platforms.
Soundfr builds an AI-based sound recognition device and app for people with hearing loss, designed to alert users to important sounds in their surroundings.
Milo is an AI-based speech therapy app for children aged 3 to 10. It listens to how the child speaks, gives real-time feedback and offers playful exercises, so families can practise at home without needing constant access to a speech therapist. The team validated the need through market research with around 50 speech therapists.
Bluehills is building a chatbot for doctors and healthcare workers, designed to help them find information in existing medical data without searching through several systems.
NeuralBiome is starting with a digital platform where people with gut-brain disorders log their symptoms and receive AI-driven product and service recommendations.
These teams are using AI in areas next to clinical care. NeuroTech AI is analysing table tennis movements to study whether subtle changes in motor patterns can point to early signs of neurodegenerative conditions such as Parkinson’s disease. InnerLoop AI gives sports coaches a daily readiness signal for each athlete, based on a short voice note and biometric data, and is running demo projects with sports schools. Enerium Health is building an app that brings nutrition, activity, workouts and recipes together with AI assistants to support healthy daily habits. Slycora is developing an adaptive planning tool that adjusts the day’s tasks to priorities and available energy, with a particular focus on people with ADHD.
Health Founders Estonia (HFE) is the operator of Estonia’s health technology ecosystem, founded by the Estonian Health Technology Association, the University of Tartu, Tartu University Hospital, Tartu Science Park and Civitta. Its accelerator supports teams at every stage: from early idea to a validated business model, through product development, clinical validation and regulatory readiness, to international growth and export.
HFE is Funded by the European Union through EIS | Enterprise Estonia in cooperation with Startup Estonia, to develop a strong and globally competitive healthtech ecosystem in Estonia.
Learn more: hfe.ee