One-size-fits-all paths
Advanced learners get bored; weaker ones get discouraged. Dropout rises by mid-training.
Education & EdTech
Adaptive learning path
An MVP that diagnoses each learner’s blockers and automatically adjusts content to reduce dropout and speed up skill acquisition.
Why do learners drop out?
Linear paths, unsuitable content, no visibility on progress: your current LMS is expensive in dropouts and re-engagement.
No real-time feedback
Without comprehension indicators, trainers discover failures too late, at exams or satisfaction surveys.
Scattered data
CRM, LMS, and video tools each store critical information without ever cross-referencing it to guide pedagogy.
An MVP that learns from your learners
A lightweight module integrated into your existing LMS. It collects interactions, identifies weak points, and automatically suggests suitable resources.
Learning diagnostic
Mastery score per skill, time spent, failed attempts: a precise profile of each learner.
Content recommendations
Videos, quizzes, or sheets proposed based on actual level, not the planned curriculum.
Trainer alerts
A simple dashboard that flags struggling learners before they drop out.
What you gain in 8 weeks
First results from the pilot phase, measured on a sample of real learner paths.
How we deliver it
From diagnosis to handover
A 3-step approach to quickly validate value without disrupting your existing LMS.
01
Audit learning data
We identify available data points and early dropout signals.
02
Personalization POC
A lightweight algorithm and trainer dashboard tested on a subset of learning paths.
03
Integration and handover
Connection to your LMS, documentation, and handover to your team or turnkey hosting.
Ready to reduce dropout with an adaptive path?
Let’s discuss your data and LMS. We’ll propose a measurable MVP in 20 minutes.