What we do · 05
AI where it earns its place.
Document processing, support assistants, content pipelines and internal automations built on today's LLM APIs — measured, not hyped.
- LLM APIs
- RAG
- Workflow automation
- Python
- Workers AI
- Vector search
A good fit when
- A team spends hours a day on repetitive reading or writing
- Customers ask the same questions in five languages
- You want to test AI on one process before betting on it
What you get
- 01 Use-case selection with a measurable success metric
- 02 Prototype in weeks, on your data
- 03 Production integration with guardrails and logging
- 04 EU-hosted options and data-handling documentation
Selected work
Seen in practice
FAQ
Good questions
Is our data used to train models?
No. We use API providers with no-training terms or EU-hosted models, and document exactly what leaves your systems.
What does an AI pilot cost?
Most pilots are a fixed 3–5 week engagement ending with a working prototype and numbers, so the next decision is easy.
Do you use AI to build software too?
Yes, extensively — it is how a small studio ships at this pace. Every line is still reviewed and tested by an engineer.
Next step
Tell us what you're building.
Three sentences are enough. We reply within one business day — in your language.