Idea / Request
Your goal and constraints, scoped into a plan we can build.
From ideation to maintenance.
What you get
Fair pricing
Cost is fixed in writing before work starts. Any change is estimated and signed off before it moves into implementation.
Agile feedback loops
Two-week sprints. Working code every cycle, demoed on schedule. Your feedback goes directly into the next sprint.
Engineering-first quality
Typed codebases, focused test suites, and CI/CD that runs before anything merges.
AI performance, human vision
AI accelerates research, drafting, and code review. Every output is checked by an engineer before it reaches the codebase.
End-to-end product support
Architecture, implementation, release, monitoring, and support stay with one team.
Direct access
You communicate directly with the engineer responsible. No ticket queue, no project manager relay.
EU / DACH timezone
German-speaking collaboration and EU working hours keep communication practical for DACH teams. GDPR, data residency, and regional compliance are handled as standard engineering requirements.
Security & compliance built in
Data protection, audit trails, encrypted secrets, and operational controls are part of the default setup.
Why this matters
Software is cheap to start and expensive to own. The choices made in the first sprint — what to cut, how to structure the data model, which third-party to integrate — are the ones still driving operational cost two years later. Most get made by teams who won't be there when the cost arrives. Staying involved makes sure your business keeps running.
Check out the labs for the full picture.
Engineering services
Build
Frontend
Accessible, responsive, and fast to load — with integration paths that stay stable as the product scales.
Backend
Service contracts, durable queues, retry budgets, and idempotency — built so partial outages stay contained.
Mobile (Flutter)
One codebase, both stores. Offline-first sync, conflict resolution, and a release pipeline that deploys from a single branch.
Embed
LLM Embedding
Models are integrated into workflows with prompt pipelines, RAG architectures, evaluation loops, and the infrastructure needed to run them reliably.
Ship
DevSecOps
Security at every pipeline stage. Policy checks, runtime hardening, secret rotation, and runbooks that exist before the first incident.
Cloud Native Distribution
Kubernetes clusters, multi-region networking, observability, and release pipelines that roll back without manual intervention.