XUND
XUND is a healthtech startup founded in 2018 in Vienna, specializing in AI-powered medical solutions. They develop certified medical devices and digital health tools aimed at improving healthcare quality, accessibility, and patient engagement. Their mission is to digitize the patient journey, support healthcare providers, and enable personalized, data-driven healthcare decisions. They serve the entire healthcare ecosystem, including patients, providers, payers, and pharmaceutical companies, with a focus on safety, quality, and innovation.
Industries
Nr. of Employees
medium (51-250)
Products
Patient Interaction Suite
Modular, API-delivered clinical modules that cover prevention-focused risk assessments, structured symptom assessment and diagnostic-probability scoring to support the user journey from prevention to triage.
Prevention-focused risk assessment (Health Check)
A prevention-oriented digital risk-assessment module that combines user inputs and validated risk models to produce personalized risk profiles across multiple health domains; intended to support early detection and preventive care.
Symptom-assessment module
Adaptive, structured clinical questioning intended to collect patient symptoms efficiently and identify likely causes to support triage and referral decisions; content curated and reviewed by medical professionals.
Diagnostic-probability module (Illness Check)
Module that generates probability estimates for candidate diagnoses based on collected symptoms and risk factors to support decision-making and referral pathways.
Clinical assessment API
Commercial API product exposing the clinical assessment modules and ecosystem add-ons (provider directory, referral management) to partner systems for integration into consumer and enterprise applications.
Patient Interaction Suite
Modular, API-delivered clinical modules that cover prevention-focused risk assessments, structured symptom assessment and diagnostic-probability scoring to support the user journey from prevention to triage.
Prevention-focused risk assessment (Health Check)
A prevention-oriented digital risk-assessment module that combines user inputs and validated risk models to produce personalized risk profiles across multiple health domains; intended to support early detection and preventive care.
Symptom-assessment module
Adaptive, structured clinical questioning intended to collect patient symptoms efficiently and identify likely causes to support triage and referral decisions; content curated and reviewed by medical professionals.
Diagnostic-probability module (Illness Check)
Module that generates probability estimates for candidate diagnoses based on collected symptoms and risk factors to support decision-making and referral pathways.
Clinical assessment API
Commercial API product exposing the clinical assessment modules and ecosystem add-ons (provider directory, referral management) to partner systems for integration into consumer and enterprise applications.
Services
Technical integration of clinical assessment APIs into partner applications, configuration of add‑ons (provider search, referral routing), and deployment support for insurers, providers and digital-health platforms.
Support for clinical-evaluation activities including study design, use of longitudinal datasets for validation, and preparation of clinical evidence required for regulatory submissions.
Joint research projects with hospitals and academic institutions to develop causal and interpretable predictive models using clinical records and patient-generated data for specific care pathways (example: emergency-department outcome prediction).
Technical integration of clinical assessment APIs into partner applications, configuration of add‑ons (provider search, referral routing), and deployment support for insurers, providers and digital-health platforms.
Support for clinical-evaluation activities including study design, use of longitudinal datasets for validation, and preparation of clinical evidence required for regulatory submissions.
Joint research projects with hospitals and academic institutions to develop causal and interpretable predictive models using clinical records and patient-generated data for specific care pathways (example: emergency-department outcome prediction).
Expertise Areas
- Clinical decision support and triage
- Natural language processing for medical knowledge extraction
- Machine learning for diagnostics, risk assessment and predictive modelling
- Explainable AI and model interpretability
Key Technologies
- Natural language processing (NLP)
- Machine learning and deep neural networks
- Causal machine learning
- Explainable AI (XAI)
News & Updates
XUND secures Pre-Series A: 6 million euros to strengthen European leadership in AI-powered healthcare
The investment, led by Lead Ventures and joined by J&T Ventures, will accelerate expansion in DACH and the UK.
XUND increases seed funding to 8 million euros
Thieme Group joins as a new investor, supporting the company's growth.
The Quality Management System and certifications behind XUND
Details about XUND's quality management and certification process for its medical devices.
Generali Mobile Health integrates XUND’s Healthcare Providers search function
Generali's app now includes a feature to locate healthcare providers using XUND's technology.
Can you trust ChatGPT with your health? Why LLMs with doctor oversight are a safer bet
An analysis of the risks of using large language models like ChatGPT in healthcare and the advantages of XUND's validated solutions.
Using AI to transform healthcare in Africa
A partnership with Zencey to improve healthcare accessibility in Africa.
XUND secures Pre-Series A: 6 million euros to strengthen European leadership in AI-powered healthcare
The investment, led by Lead Ventures and joined by J&T Ventures, will accelerate expansion in DACH and the UK.
XUND increases seed funding to 8 million euros
Thieme Group joins as a new investor, supporting the company's growth.
The Quality Management System and certifications behind XUND
Details about XUND's quality management and certification process for its medical devices.
Generali Mobile Health integrates XUND’s Healthcare Providers search function
Generali's app now includes a feature to locate healthcare providers using XUND's technology.
Can you trust ChatGPT with your health? Why LLMs with doctor oversight are a safer bet
An analysis of the risks of using large language models like ChatGPT in healthcare and the advantages of XUND's validated solutions.
Using AI to transform healthcare in Africa
A partnership with Zencey to improve healthcare accessibility in Africa.