Workers spent five hours searching physical folders per request. Now, AI extracts online form data to create updatable digital records.
A German health technology startup serves the elderly care sector, which faces a chronic shortage of workers to support 5.7 million people in need of care.
Patient admissions were handled through paper-based legacy systems that took five hours per request. When facility capacity finally opened up,...
“Growing up, I could see how hard my mum was working on weekends. And my dad had a burnout due to the high stress of organising day-to-day operations in the sector.”
AI-powered CRM platform for the social economy and nursing care sector.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
Nurses spent 10 minutes analyzing sensor data to spot risks. AI now generates narrative summaries in under 5 seconds.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Workers spent five hours searching physical folders per request. Now, AI extracts online form data to create updatable digital records.
A German health technology startup serves the elderly care sector, which faces a chronic shortage of workers to support 5.7 million people in need of care.
Patient admissions were handled through paper-based legacy systems that took five hours per request. When facility capacity finally opened up,...
“Growing up, I could see how hard my mum was working on weekends. And my dad had a burnout due to the high stress of organising day-to-day operations in the sector.”
AI-powered CRM platform for the social economy and nursing care sector.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Doctors had just 7 minutes to process floods of scattered patient data. Now, AI transcribes visits and synthesizes medical records.
Nurses spent 10 minutes analyzing sensor data to spot risks. AI now generates narrative summaries in under 5 seconds.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.