2025
MeinDienstarzt • Health
Place on-call shifts
On-call shift placement for outpatient physicians — From bottleneck to substitute, fast and KV-compliant.
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Index 015
Edition · May
From AI voice assistants in medical practices to audit pipelines for defence: we decide which processes are worth automating, and design them so the people working with them every day can trust them.
See current cases01 — Cases
What we have solved for our clients.
2025
Momentsuite • SaaS
Automate marketing
Marketing autopilot for hospitality and gastronomy — From brief to scheduled post, AI as co-pilot rather than tool.
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2025
Defence:Connect • Defence
Open up the defence market
Guiding mid-market companies into the defence sector — Complex regulation as an executable playbook.
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2026
JourF'x • Health
Document consultations
Secure video communication with real-time AI documentation — The conversation becomes the protocol, automatic and context-aware.
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2026
MedicPlace • Health
Bundle practice tools
Healthcare SaaS umbrella for physicians: placement, academy, billing — One platform, eight modules, one industry umbrella for physicians.
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2026
KI-Sprachassistent • Voice-AI
Automate anamnesis
Live transcription and anamnesis for medical practices — The practice saves administrative hours per day.
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Our clients and teams work with
OpenAI
Claude
Google
Gemini
Meta
Perplexity
Bing
TikTok
GitHub
Shopware
WordPress
JTL
TYPO3
HubSpot
02 — Manifest
AI does not succeed because it impresses technically. It succeeds when it carries the business model, and when the people working with it every day can actually use it.
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01
We know what counts.
Before we automate, we check what your business model actually carries. Which work is critical, which is routine, which burns hours without leverage. Automation unfolds its effect where the ratio of effort to leverage is steepest, and you can only see that in operations, not in the model.
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02
We choose what pays off.
Not every process belongs in automation. Some tasks are too critical to run without human responsibility. Others are too rare for the engineering effort to ever pay back. We invest where automation returns predictably.
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03
We build for the people working with it.
Whether AI lasts in daily use is rarely decided by model accuracy. It is decided by cognitive load, perceived reliability, attention decline across long shifts, and UX that holds under stress. Those factors are the second half of our work.
03 — Capabilities
What we develop.
AI training & workshops
Marketing · IT
AI voice systems & voice agents
Health · Service
Knowledge graphs & retrieval pipelines
Public · Legal
SaaS platforms & module architectures
Health · Marketing
AI-powered marketing automation
Marketing · SaaS
Auditability, logging & governance
Defence · Health
04 — Inquiry