Application deadline
1 November 2026
Regular round for the Winter 2027 cohort.

by Hinksey Labs
AI Builders combines applied AI project work with academic and industry mentoring to develop solutions to challenges faced by real organizations.
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Current status
Applications open
Eligibility
High school students; international applicants
Age range / Year group
Ages 14+
Location / Region
Online
Cost
$1,400 by the priority deadline; $1,600 regular
Duration
9 weeks
Format
Online
AI Builders is Hinksey Labs' applied AI project track, connecting original student work with challenges faced by real organizations.
Mentorship is collaborative, but each student produces an independent project and presents it to an expert panel.
It suits students who want to use AI to solve a practical problem and can contribute actively to a small mentoring group.
AI Builders is Hinksey Labs' applied artificial intelligence project program. Students develop an independent AI solution to a challenge faced by a real organization, connecting their interests with a practical problem.
Mentorship takes place in small teams, with support from academic and industry experts. Each student produces original work and presents it to an expert panel, giving the project a clear audience beyond the mentoring group.
A real organization's challenge gives the AI project a practical purpose.
Independent outputs make each student's contribution clearer within collaborative mentorship.
Academic and industry mentors bring complementary perspectives to applied project work.
An expert-panel presentation gives students practice explaining their decisions and results.
Students interested in applying AI to an organization's problem while developing their own project within a small mentoring group.
You want exclusively one-to-one mentoring or a guaranteed recommendation letter.
AI Builders is worth considering if your goal is to move from interest in AI to an independent project with a practical audience. Its combination of collaborative mentorship and an expert-panel presentation gives students opportunities to develop and explain original work.
The value depends on how well group mentoring fits your needs and how actively you engage with the project. Treat the project and learning as the main benefit: recommendation letters and showcase opportunities are discretionary, and university admission is not guaranteed.

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Cost and what is included
$1,400 by the priority deadline; $1,600 regular; includes Two live hours per week over nine weeks., Mentorship in teams of four to seven students., Support from academic and industry experts., Independent applied AI project., Final presentation to an expert panel., Certificate of achievement..
Dates and time commitment
9 weeks; 2 live hours/week over 9 weeks.
Provider details
Review the Hinksey Labs provider page and official sources before making a final decision.
What the student gains
Potential output: The main output is an independent AI project addressing a real organization's challenge.. Check whether feedback, certificate, recommendation or application evidence is included.
Online support and safeguarding
Each student builds an independent AI project addressing a challenge faced by a real organization. Mentorship takes place in small teams.
What to check before committing
Confirm current dates, session schedule, payment terms, cancellation rules, support expectations and what output or certificate is included with the provider.
Compare this program with similar options before deciding on dates, cost, format and fit.
Compare with similar programsEffort level
Sustained project commitment.
Best started
Begin application preparation three to four weeks before the priority deadline.
Main challenge
Turning an organizational problem into a focused, explainable AI project.
Gather your resume and grade transcript before drafting the application.
Use the 300-word motivation statement to explain your interests and commitment.
Discuss parent or guardian consent and financial aid documentation where relevant.
Ask how project work outside live sessions will fit your school commitments.
Useful if
You want practice developing and presenting an original solution.
You develop an independent applied AI project around a challenge faced by a real organization. Collaborative mentorship supports the work, which culminates in a presentation to an expert panel.
Focus your project on an organizational challenge and your own interests.
Develop your solution with academic and industry mentorship in a small team.
Complete an independent applied AI project.
Present your work to an expert panel.
Application deadline
1 November 2026
Regular round for the Winter 2027 cohort.
Programme dates
January 2027
Winter cohort starts; the program lasts nine weeks.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 1 November 2026 | Local | Upcoming | Save deadline |
Programme dates | January 2027 | Local | Upcoming |
High school students aged 14 and above.
Grades 9-12 are the target school stages.
International applicants are welcome.
Parent or guardian consent is required under 18.
Academic achievement, curiosity, motivation, and commitment inform holistic review.
Suggested benchmarks: GPA 3.7+, A-Level AAA, IB 36+, or equivalent.
Application fee
Free
Funding or discounts
What's included
Two live hours per week over nine weeks., Mentorship in teams of four to seven students., Support from academic and industry experts., Independent applied AI project., Final presentation to an expert panel., Certificate of achievement.
Prepare your resume, grade transcript, and motivation statement of up to 300 words.
Complete the official application form and select AI Builders.
Provide your personal, parent, school, and location details.
Add an optional recommendation letter and financial aid documentation where relevant.
Submit the application for review through the application, interview, and decision process.
Next step with Succeed
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Succeed replies first, usually within a working day
AI Builders combines two live hours per week over nine weeks with independent project development. Mentorship is collaborative in teams of four to seven, while each student produces their own original AI project.
Mentorship takes place in teams of four to seven students.
Mentors include Ivy League and Oxbridge PhDs, MScs, and MBAs.
Leading industry experts contribute practical perspectives.
Each student develops independent work within collaborative mentorship.
Students present their completed work to an expert panel.
The program centers on an independent applied AI project and a final presentation to an expert panel.
Main deliverable / output
The main output is an independent AI project addressing a real organization's challenge.
Final presentation to an expert panel.
Certificate of achievement.
Discretionary showcase opportunities for outstanding students.
Discretionary recommendation letters for outstanding students.
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Content reviewed by
Co-founder, Succeed | Founder, Immerse Education (2012–2026)
Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
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AI Builders
by Hinksey Labs
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