What we build.

Web portals, internal tools, data dashboards, APIs — built with whichever tech stack makes sense for the job. No overkill framework for an internal admin tool, no minimal setup for an application 200 people use every day.

In practice that means: sales quote configurators that read directly from ERP data. Lead portals with role-based permissions. Customer dashboards that pull data from three sources and present it clearly. All on European servers — no data in US clouds.

Projects typically start with a 2–4 week discovery sprint: what’s the actual problem, and what’s the smallest meaningful first step? Iterative development in short cycles follows.

LLMs like Claude or GPT are genuinely practical now — but there’s rarely an honest answer to where they actually help in real business processes and where they create more work than they save. We integrate AI where it has a measurable effect.

Concrete use cases: automatic classification and prioritization of incoming requests, text generation from structured data (quotes, product descriptions, summaries), document analysis and data-point extraction from PDFs or emails, semantic search across internal knowledge bases.

What we don’t do: build AI features for demo purposes that no one ends up using. And we don’t use models that send your customer data to US servers unless you explicitly want that.