Services · Platforms & private AI
Platforms that are ready to run.
Production-ready software architecture, AI tools and internal applications, tailored to your business instead of taken off a shelf.
The approach.
Starting a complex platform or AI system from a blank page can consume months before delivering practical value. I bring proven building blocks, from multi-step funnels and data dashboards to private AI assistants and native macOS tools, then adapt them to your workflows and integrations. You see a working system early and get a clear path from design to handover.
Areas of focus.
Private AI & data sovereignty
Document analysis, research assistants and intelligent extraction inside your own company network. Sensitive business and customer data stays in-house.
Platforms, portals & funnels
Web applications with accounts, permissions, databases and live reporting, from customer self-service to internal specialist portals.
Internal tools & automation
Automated workflows, data pipelines and integrations where manual transfers consume hours and off-the-shelf software falls short.
Native macOS & desktop apps
Swift and SwiftUI applications, including code signing, notarisation and update pipelines.
So läuft es ab.
1. Architecture & needs review
We look at your systems, workflows and the specific opportunity. If a standard product is enough, I’ll tell you.
2. Prototype & refine
Working increments replace lengthy specification documents. You can try real screens and workflows as they take shape.
3. Integrate & deploy
Connect APIs and databases, then set up dependable hosting and delivery pipelines, in the cloud or on your premises.
4. Document & hand over
Receive modular, maintainable source code, complete documentation and control of your systems.
Your systems, your data, your code
Custom software should solve a real problem without creating a new dependency.
Principles
- A real handover: You own the source code and can continue with your own team or another developer.
- Established technology: TypeScript, React, Node.js, Python, PostgreSQL and Swift are supported by mature ecosystems.
- AI with a purpose: Sound architecture, careful error handling and privacy built in from the start.