What is open source AI?
Models such as those from the European company Mistral and the Llama models from Meta that you can run wherever you want, instead of only through the provider's servers.
Sensitive data does not belong on US servers by default. We decide per task what can stay on a closed tool and what belongs on an open model you run yourself.
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A selection of the organisations we work with.








From the trade-off to a working model in your own environment.
We decide which work can safely stay on a closed tool and which belongs on an open model.
An open model (Mistral, Llama) in your own environment or with a European provider, so data stays in-house.
We set up the environment where the model runs and keep it maintainable.
An honest comparison on quality, cost and where your data ends up.
Concrete numbers from our clients
AI-driven lead capture with email and WhatsApp automation, connected to the CRM.
AI-driven intake module for vehicle photos. Automatic appraisal and faster processing.
Chat-driven AI assistant for homeless people. 8 aid organisations bundled into one entry point.
In four weeks from trade-off to a working model under your own control.
We map your data, requirements and usage.
We choose the split between open and closed and the right model.
We set up the open model in your own environment or within Europe.
Working AI in daily use, with handover and management agreements.
We map which tasks can run on a closed tool and which belong on an open model under your own control, and set it up within your own environment.
Your data stays in-house or within Europe
The right choice per task: open where it must, closed where it can
Working AI in four weeks, no endless pilots
Dutch provider, short lines, no black box
Fixed price upfront, scope-fixed
5 professionals based in Groningen
AI Strategy & Business Optimisation
AI Implementation & Innovation
AI Engineer
AI Engineer
AI Engineer
Models such as those from the European company Mistral and the Llama models from Meta that you can run wherever you want, instead of only through the provider's servers.
Yes, if you run the model in your own environment or with a European provider. You decide where it sits, who can reach it and how long it is kept.
For a lot of work you won't notice a difference. On the hardest tasks the best closed models are sometimes still a step ahead. The advantage of open source is control over your data.
No. Most organisations combine: closed tools for ordinary work, an open model for the sensitive parts. You choose per type of data.
You get a scope-fixed quote upfront, so you don't face surprises. The cost shifts from a subscription per user to infrastructure and management.
In four weeks you have working AI in your own environment. Plan an intro call to define the scope.
We look together at where the line lies between what may go out and what stays in.