ZORIALIS · HAMBURG
Measure what works.
Build what improves the outcome.
Zorialis is a founder-led engineering company in Hamburg. We evaluate whether AI, software and technical ideas actually improve your results — and we engineer the simplest maintainable solution when a change is justified.
TYPICAL REASONS
Why companies come to Zorialis
AI is in use, but nobody can show what changed
Assistants and a few internal experiments are part of daily work. Nobody can say what changed in time, cost, quality, throughput or revenue.
A pilot works in demos, not in daily operations
The demo was convincing. Production quality, integration, review effort or adoption never followed.
A process still runs on spreadsheets and copy-paste
A core workflow depends on manual transfer between systems. Software could carry it reliably.
A prediction or automation problem is clear
Forecasting, anomaly detection, document processing, inspection or decision support could help; the right method is not yet obvious.
An idea is technically uncertain
Before funding or building, someone needs to test whether the data and methods can support it.
A vendor or model dependency has become uncomfortable
A provider changed terms, pricing or direction, and switching looks harder than expected.
THREE WAYS IN
By the state of your problem
Each route is one kind of work. Open the one that matches where you are.
AI is already in use →
AI System Audit
A vendor-independent, two-stage review of your AI use — one system or scattered tools: what it changes, what it costs, and what should happen next.
A defined capability is needed →
AI & Software Engineering
The complete working system: workflow, data, integrations, the application people use and its operation. AI where the measurements justify it.
An idea is uncertain →
Applied R&D & Feasibility
One bounded question, tested on real data, ending in a build, adjust or stop decision.
Start where the problem is
- AI in use, value unclear
- Start with the AI System Audit — Stage 1 is a Value / Workflow Review.
- Defined capability
- Start with Engineering.
- Uncertain idea
- Start with the Feasibility Sprint or Applied R&D.
- Product or research interest
- Zorialis Lab.
- Unsure
- Use the contact form or a short scoping call — we will point you to the smallest sensible first step.
Technology should solve a defined problem. We start with the problem and the outcome it must improve, measure the current state, and choose the simplest technology that does the job reliably. Sometimes that is a large language model; often it is a smaller model, classical machine learning, statistics or plain software.
Read our engineering principles