AI-driven study-abroad decision-making makes study-abroad choices clearer and more autonomous.
Integrating institutional data with intelligent algorithms to provide efficient and automated solutions for school selection and the application process in studying abroad.
Service introduction
Focus on the core functions of creating pain points for independent study application
first to use
Founding team
Gather global talents just to create products that are easy to use
  • 200clients
    Help complete the application
  • 5000pieces
    Professional College Information
  • 3Years
    Focus on AI applications
  • Kevin(Founder and Head of Operations)
    University of the Arts London, User Experience Design; Goldsmiths, University of London, MBA. A serial entrepreneur with long-term focus in the field of AI applications, possessing entrepreneurial experience in cross-border e-commerce, overseas education and training institutions, AI tools, and self-media operations. Well-versed in user growth, product planning, and cross-border market operations, with a wealth of resources in talent and potential investors. Responsible for company strategy, product framework, market direction, and external partnerships.
  • Jocelyn (co-founder and technical leader)
    Bachelor of Science in Computer Science from Wesleyan University with research interests in vector and matrix computing; Master of Computer Science from Princeton University. He has served as a software engineer at MSKCC, has solid back-end and algorithm capabilities, and is responsible for core system architecture, model development and technical route planning.
  • Peter (Data Support)
    He is currently a student in the Department of Mathematics at the Chinese University of Hong Kong. He has a solid foundation in mathematical modeling and statistics. He participates in project data collation, model verification and data quality management, and provides data-side support to the technical team.
  • Yang (Co-founder and Technical Director)
    Master of Computer Science from Princeton University, focusing on probability algorithms, data systems and performance optimization. He has engaged in database engine and machine learning research at the National Information Science Research Center in Beijing, and participated in data analysis and automation system development at Tencent. Responsible for optimizing the efficiency of decision engines, data infrastructure and models.
  • Yan (Products and Operations)
    A continuous postgraduate student at the University of the Arts, London, majoring in Data Science& AI. Founder of instrumentation studio. He has participated in the research and development of AI automation tools and educational products, and has both technical foundation and market sensitivity. Responsible for assisting product development, user operations and data analysis. External cooperation.