Keenu is an AI‑powered platform that automatically scores IELTS and CEFR speaking tasks, delivering feedback on pronunciation, fluency, grammar, and vocabulary with accuracy comparable to human examiners. The tool lets teachers bulk‑upload student recordings, generate individualized reports, and monitor class performance through a dashboard, reducing grading workload while providing each learner with personalized practice.
Funding
Funding not disclosed
Founders
Product
Problem
English language teachers often manage large classes and lack the time to provide detailed, personalized speaking feedback to each student, which hampers learners’ progress on standardized exams such as IELTS and CEFR assessments.
Solution
Keenu offers an AI-powered platform that automatically evaluates spoken English responses and assigns IELTS and CEFR speaking scores with accuracy comparable to human examiners. The system generates individualized feedback reports, highlighting pronunciation, fluency, and lexical strengths and weaknesses. Teachers can assign practice prompts, review AI-generated scores, and focus their live instruction on targeted interventions rather than manual grading. By integrating the tool into existing lesson workflows, educators reduce grading time while ensuring every student receives consistent, data‑driven practice and assessment.
Target Audience
Primary customers are secondary school English teachers, language institutes, and IELTS preparation centers that need scalable speaking assessment and feedback tools.
Features
- Automatic scoring of IELTS and CEFR speaking tasks using validated AI models trained in partnership with the University of Manchester
- Detailed feedback reports that break down pronunciation, fluency, grammar, and vocabulary for each learner
- Bulk upload of student audio recordings and batch processing to handle large class sizes efficiently
- Teacher dashboard for monitoring class performance, identifying at‑risk students, and assigning custom practice prompts
- Secure cloud storage of audio files and results, compliant with educational data privacy standards