Level 3 Program

BizComp & Startup Lab

From idea development to final presentation.
An end-to-end strategic pathway for students with clear goals.

World-Class Mentorship

Business Strategy meets Artificial Intelligence.

Dr. Jiang

Dr. Jiang

Founder & Chief Instructor

Former Head of Research at Invesco and Senior Portfolio Manager. With deep expertise in global markets, Dr. Jiang brings a rigorous, industry-driven perspective to education. She is dedicated to cultivating commercial acumen and has substantial experience mentoring students in competitive programs to excel through strategic decision-making and real-world problem-solving.

Dr. Dou

Dr. Dou

Chief Tech Advisor

Harvard University Postdoctoral Research Fellow in AI. Ph.D. in Computer Engineering (U of Pittsburgh) and B.S. from Peking University. His work spans machine learning in healthcare and finance. Serving on the Board of Directors of the Cornell Club of Boston, he is committed to building future-ready talent with strong AI literacy.

Select Your Pathway

Standard Track

Signature Program

Participate in three selected business competition projects within one academic year.

$6,988
  • 1 Competition Projects
  • Team Matching
  • Group Guidance
Apply for Interview
Result-Oriented

Comprehensive Program

Intensive, tailored guidance designed for efficiency. Focuses on accelerated skill mastery and tangible outcomes.

$13,888
  • 1-on-1 Personalized Coaching
  • Customized Growth Roadmap
  • Direct Mentor Access
  • Entrepreneurial Portfolio
Apply for Interview

Active Recruiting Projects

Real-world startups incubated by Kidvestor students.

Recruiting Now

KneeSync AI

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A breakthrough in digital health technology designed for knee rehabilitation. This intelligent assistant combines orthopedic knowledge with AI-powered personalization.

Analyzes user symptoms & medical history.

Detailed video demos & AI progress tracking.

Digital Health AI Personalization

Youth Swim Partner

🏊‍♂️

An AI-driven coaching companion for competitive youth swimmers. Using Computer Vision to identify technical flaws and improve stroke efficiency in real-time.

Generates age-appropriate dryland training plans.

Image recognition for stroke correction & biomechanics.

Sports Tech Computer Vision