Competition Lab
Peer-led support for entrepreneurship competitions, pitches, research and presentation skills.
Cross-border mentors and AI-supported learning, working together to help students build something they can show.
How do I explain market sizing in a pitch?
Start with the people who have the problem. Narrow that group by access and willingness to pay. Then ask a mentor to test your assumptions against experience.
First cohort
A real student brings a specific question. AI retells the concept at the right level. A mentor adds judgment, context and direction. Every session ends with visible progress.
Three tracks
Peer-led support for entrepreneurship competitions, pitches, research and presentation skills.
Tailored AI explanations help students work through questions before a mentor reviews the result.
Live or asynchronous mentorship across time zones, with regular follow-up and a clear next step.
How it works
Small cohort. Concrete evidence. No vague advice.
By goals, interests, time zone and preferred learning format.
With mentor-led sessions and AI explanations at the right level.
A deck, research brief, reflection, lesson or project update.
Record progress and choose the clearest next action.
Operating standard
The program uses AI for customized explanation and human mentorship for judgment, credibility and connection.
Start with a question or draft. Leave with clearer notes, feedback and a next artifact.
AI can rebuild a missing foundation. Mentors decide whether the result is useful and sound.
Reflections and selected work help the pilot improve its sessions and curriculum.
Express interest
The program is shaping its first cohort. Students, mentors and partners are all part of making it useful.
Visit the original pilot site