Classroom insights for institutions committed to excellence. Deep insights into pedagogy, delivered as actionable improvements. 为追求卓越的教育机构提供课堂洞察。深入的教学分析，转化为可实施的改进方案。
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Three layers of advanced AI analysis converge into specific, timestamped recommendations for each lesson. 三层先进的AI分析汇聚成针对每节课的具体、带时间戳的改进建议。
Clarity, pacing, intonation, filler words. Identifies where delivery impacts comprehension. 清晰度、节奏、语调、填充词。识别表达方式对理解的影响。
Concept sequencing, use of examples and analogies, topic transitions. Detects gaps in explanation flow. 概念顺序、示例与类比运用、主题过渡。检测讲解逻辑中的断层。
Body language, hand movements, eye contact, classroom positioning. Correlates with student attention. 肢体语言、手部动作、眼神交流、教室站位。与学生注意力相关联。
Specific recommendations with timestamps. Not general advice—precise changes tied to exact moments, ready to implement in your next lesson. 带时间戳的具体建议。不是泛泛而谈——而是精确到具体时刻的改进方案，可直接应用于下一堂课。
Serving leading private schools, top-performing institutions, and learning centers committed to elevating every classroom interaction. 服务于顶尖私立学校、高水平教育机构，以及致力于提升每一次课堂互动的学习中心。
ABOUT 关于我们
A team from ETH Zürich combining machine learning, computer vision, and educational science. Our models are trained on data from university teaching centers and validated against student outcomes. 来自苏黎世联邦理工学院的团队，融合机器学习、计算机视觉与教育科学。模型基于大学教学中心数据训练，经学生学习成果验证。
With the support of 在以下机构的支持下
See the analysis in action with your own lecture recording. 用您自己的授课录像体验分析效果。
ETH Zürich
Rämistrasse 101
8092 Zürich, Switzerland