The research institute's applied laboratories open their topic intake. An organisation submits a concrete problem; the institute assembles a mixed faculty-student team and runs the schedule through to the deliverable.
Three areas structure this work: artificial intelligence applied to the continent's languages and data, digital sovereignty and public data protection, and the digital economy with financial inclusion.
The client keeps ownership of what is produced for them. The method is presented publicly at the end of the project: that is what distinguishes a laboratory from a service engagement, and what makes the work useful beyond its client.
Students working in a laboratory validate credited work there. They tackle a problem whose answer nobody knows in advance, something no exercise reproduces.