No off-the-shelf wrappers, no broken dependencies, no no-code glue. Every build is individually engineered, EU-hosted, and ships with the four non-negotiable safeguards. Voice agents are the center of gravity, chatbots and MCP servers for when those fit better.
An AI phone receptionist that picks up at 8pm, on Sundays, during the lunch break, and in the four minutes the front desk is on hold with the health insurer. Books appointments, reads your real calendar, escalates when it needs to.
First 3 practices only: full Professional feature set for €449/month in year 1 (instead of €1,099). €0 setup (instead of €1,499). From year 2, as a Founding Alumnus, permanently Professional minus 20%, currently €879/month.
Lina for solo practices with normal call volume. 750 min/month (~250 calls). 90-day recording, read-only portal. The default tier.
MVZ or practice group with up to 5 locations. Deep practice-software integration, API + webhooks. 4,000 min/month. 24/7 phone support · 1h response time.
Brand-safe chatbots, internal knowledge bots, customer-support routing. Built on custom RAG pipelines, not third-party widget wrappers. The same four safeguards as voice agents. The same engineering standard.
Chatbots trained on your tone, your products, your policies. Custom RAG over your documentation. Stays on-brand, escalates off-topic requests, never improvises on medical or legal content.
Employee assistants for internal wikis, SOPs, and policy documents. Retrieval-grounded, no hallucinations. Deploy in Slack, Teams, or a custom internal portal.
A triage layer that classifies incoming requests and routes them to the right team or the right answer. Cuts first-response times, keeps complex cases with humans. Integrates into your existing helpdesk via n8n.
Model Context Protocol servers that connect Claude or any MCP-compatible AI to your existing systems: CRM, practice software, internal APIs, calendars. Built to the MCP spec, tested against your real data, deployed on Hetzner or your own infrastructure.
Read/write access to patient data, scheduling systems, or CRM records, exposed as structured MCP resources and tools. The AI reads what it needs, writes what it's allowed to, nothing beyond that.
Wrap any internal REST or GraphQL API as an MCP server. AI agents and chatbots can call your tools directly. After the initial setup, no further custom integrations per use case.
n8n-backed MCP servers for multi-step workflows: booking confirmation emails, health-insurance verification triggers, follow-up scheduling. The AI calls the workflow, n8n handles the orchestration.
Send a briefing about what you want to solve, no need to map it to a service. I'll tell you what fits, what it would cost, and whether I'm the right developer for it.