Cleverlearn develops adaptive learning tools that utilize artificial intelligence and neuroscience to assess learner competencies and tailor educational pathways. By providing personalized recommendations and progress tracking, the platform enhances training effectiveness and optimizes the learning experience for each individual.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional training programs often struggle to adapt to individual learner needs, leading to inefficient learning experiences and suboptimal outcomes. Learners may find themselves progressing too quickly or slowly, resulting in frustration and decreased knowledge retention. Furthermore, instructors lack comprehensive tools to effectively monitor progress and tailor their teaching approach to each student.
Solution
Cleverlearn offers an adaptive learning platform that leverages artificial intelligence and neuroscience to personalize educational pathways and optimize training effectiveness. The platform assesses learner competencies in real-time and recommends tailored learning activities, such as refresh modules, group activities, or in-depth studies. By continuously monitoring progress and identifying individual strengths and weaknesses, Cleverlearn helps learners focus on areas where they need the most support, while also providing instructors with clear visualizations of student progress and actionable insights to improve their teaching strategies. The platform can be integrated as a layer on top of existing Learning Management Systems (LMS) or used as a standalone solution.
Target Audience
Cleverlearn primarily targets higher education institutions (universities, business schools, engineering schools), training organizations, and corporate learning departments seeking to optimize learning outcomes and personalize training experiences.
Features
- AI-powered assessment of learner competencies to identify knowledge gaps and strengths
- Personalized learning path recommendations based on real-time performance data and neuropedagogical principles
- Adaptive content delivery that adjusts the difficulty and pace of learning materials to match individual needs
- Progress tracking and visualization tools for both learners and instructors
- Integration with existing LMS platforms via API
- Automated content structuring to extract learning modules and pedagogical references
- Support for various learning formats, including e-learning modules, certified training, and in-person sessions