
Tifenbao
AI-powered educational ecosystem for K-12 students.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
CNY10.0m | Series A | ||
Total Funding | 000k |
Guangzhou Lanbi Information Technology Co., Ltd., established on September 25, 2014, operates the Tifenbao platform, an intelligent SaaS platform for K-12 education. The company's legal representative is Huang Zefan, who is also the suspected actual controller. Co-founder and CTO Tang Bin, formerly the Chief Architect of IBM Greater China, leads the research and development.
The firm provides a micro-tutoring and learning guidance platform for primary and secondary school students and their parents. The core offering, the "AI Talent Entrance Examination System," uses a proprietary "5S system" model focusing on motivation, habits, ability, environment, and pathways to foster student growth. This system analyzes student data to identify unmet needs, create personalized study plans, and provide targeted guidance. It combines face-to-face tutoring attributes with online services, analyzing incorrect answers to generate specific learning materials and tutoring solutions. The platform's features include AI-driven academic diagnostics, interest and personality assessments to create 'dream maps', habit formation modules, and skill enhancement for both academic subjects and personal qualities.
Operating in the Educational and Training Services (B2C) sector, Tifenbao serves students and parents in the Chinese market. Its business model is centered on its SaaS platform, which provides services for conventional exam preparation as well as diverse pathways like academic competitions. The company has raised $1.61M in funding, with investors including Yihua Capital.
Keywords: AI education, K-12 learning platform, SaaS for education, student performance analysis, personalized learning, academic tutoring, educational technology, student development, exam preparation, skills assessment, learning habits, parent guidance, Tifenbao, Lanbi, 黄泽帆, Tang Bin, micro-tutoring, talent development, student motivation, educational data