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AI in business — with substance.

No buzzwords, no ChatGPT wrappers. We build AI that actually fits into your processes — and when your data is involved, it runs in-house. Verifiably.

Four areas

Where we anchor AI in your business

We start with the use case — not the technology. Benefit first, then the model.

AI agents & assistants

Tailored assistants for support, sales, internal research, and onboarding. We build them with OpenAI, Anthropic, or locally — whatever fits best.

Interfaces & integrations

We connect AI with your existing tools — Dropbox, Daylite, Microsoft 365, your databases. Via APIs, Zapier, custom middleware.

Local AI

Open models on your own hardware instead of data in someone else’s cloud. For law firms, education providers, and anyone who first asks where their data lives. Our answer: here, in-house, verifiably.

AI & privacy

GDPR-compliant use of AI, data classification, DPAs, secure prompt architecture. So AI doesn’t turn into a risk for you.

Our partner stack

With those who take AI seriously.

We work where quality, privacy, and openness come together. Anthropic, OpenAI, plus European and local models.

Anthropic Claude
OpenAI
Mistral AI
Llama (local)
Apple Intelligence

And we’ll also tell you when AI isn’t the right lever for your case.

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Local AI computer on an office shelf
Approach

How we build AI into your business

1

Find the use case

We identify the process with the biggest leverage. Only then do we talk technology.

2

Build a prototype

Short sprints, clear tests. After 2–4 weeks, you see what really works.

3

Scale & support

Once the prototype runs, we move into production and take over ongoing support.

AI on your premises — is that possible?

30 minutes of honest assessment. We’ll also tell you if AI isn’t the right lever for your case.

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