Learning paths generated and tailored to every student.

The system reads each student's performance, finds their gaps and generates new exercises calibrated to their level, updated with every answer. Every generated exercise passes an independent check, and personal data is kept apart from the learning profile by design. It grew out of the engine that generates the exams for Premio Di Nicola 2026, a maths and logic competition for students in Abruzzo (18th edition, founded in 2008 by Vincenzo Di Nicola, backed by Confindustria Abruzzo Medio Adriatico).

Technical article: A different test for every student, and a reason to trust it.