Institutional digitalisation for healthcare, care and social services

We digitalise organisations across healthcare and social services. Sensitive data requires sensitive solutions. That is why we develop secure, AI-powered applications that free care workers, therapists and medical staff from administrative burdens—without surrendering control of their data.

The problem

Care professionals now spend up to 40% of their working time on documentation rather than people. The figures are similar in hospitals: typing up patient histories, preparing for medical reviews, maintaining records and writing to community-based colleagues. At the same time, staff shortages affect every part of the sector. The gap will not be closed by hiring more care workers—there simply are not enough available. The answer is to relieve staff of routine tasks.

Use cases we implement

Speech to documentationInstead of using a dictation device, staff speak into an app and AI structures their input
Medical review preparationAutomatically compile the relevant documentation
Report generatorCare reports, progress notes and handovers
Appointment hotlineAn AI voice assistant answers calls and schedules appointments
Patient communicationAutomated, multilingual patient information
Record classificationAutomatically sort and file incoming correspondence

Trust instead of a black box

AI must not be a black box in sensitive environments. We provide a source for every statement, confidence scores for every extraction, complete audit logs and human review for every critical decision. Models can run in a German cloud, an EU cloud or on premises—you retain control of your data.

Proven experience from the childcare sector

With Kitaversum, we have demonstrated what is possible within the GDPR framework: more than 100,000 users, automated care and educational documentation, and hosting in Germany. We apply the lessons learned in this sector directly to care and clinical settings.

Frequently asked questions

Can AI in care and medicine comply with the GDPR?

Yes. Locally hosted models, pseudonymised processing and robust data processing agreements make it technically and legally viable.

Which use cases are realistic?

Speech-to-care documentation, medical review preparation, reports, call management, record classification and patient communication.

Can models run on premises?

Yes. We deploy Llama 3, Mistral and Qwen on premises using the customer’s own GPU hardware. Data never leaves the site.

Which process takes up most of your care team’s time?

Tell us about it. We will assess free of charge whether AI can genuinely help.

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