AI-driven software with people at the centre
We don't just look at what AI can do technically, but at what it should mean for the people who work with it. Who uses it, where does it help, and when does a person stay in control?
What AI can support
These are examples. Which application fits, we decide from the problem.
Analysing information
Processing, classifying or helping to interpret large amounts of text or data.
Making knowledge accessible
Helping users find information and making it available faster.
Supporting users
AI as part of an application that helps people with a task.
Smarter processes
Partly supporting or automating repetitive or knowledge-intensive work.
From model to usable software
A complete application
An AI model is not yet a product. We also build the software around it: interface, data processing, integrations and access control. Not a loose experiment, but something your organisation can use.
Not every problem needs AI
Sometimes traditional software is more predictable, simpler and cheaper. We start with the problem and only then decide whether AI is the right technology.
Responsible use of AI
Human control
The bigger the consequences of an outcome, the more important it is that a person can intervene.
Handling uncertainty
We design what happens when the model is unsure or gives a wrong answer.
Privacy
AI often works with sensitive data. We handle it carefully from the design stage.
Want to know more about how we handle data and AI?
Privacy and securityFrequently asked questions about AI
Yassine El FahmiFounder and developer
Expertise in Human-Centered AI
My academic background is in Human-Centered AI: the collaboration between people and AI and the responsible design of AI systems. I also won a European audience award in the Responsible AI category. You don't need to know which model you need. Tell me which problem you want to solve and we'll see together whether AI fits.
Schedule an introduction