About Edison

Built for the AI-native generation.

Edison AI Academy is a selective academy for ambitious students aged 13–22. We exist to teach the layer that grades alone won't cover: how to think, build, and lead with AI.

Our mission

Lead AI. Don't be led by it.

We believe the next generation should be taught to direct AI with judgment, creativity, and ethical clarity — not just consume it.

We serve ambitious students aged 13–22 and the families and schools that support them. We are a selective academy with pedagogy, faculty, cohorts, and public exhibition — not a tutoring service or a workshop.

The students who learn to build with AI now will define what comes next.

FOUNDER PORTRAIT
Founder story

From BCG strategist to educator.

Edison's founder began at the Boston Consulting Group, advising leaders on strategy, technology, and capability. The work made one thing obvious: the next decade will reward students who can think rigorously and build with AI.

The pivot to education came from a clear gap. Schools were moving slowly. Bootcamps treated AI as a single tool. No one was teaching AI as a discipline — with judgment, ethics, and original work at the centre.

Edison AI Academy was founded to close that gap — selectively, rigorously, and with the parents and schools who care most about it.

The research advantage

We didn't just build a curriculum. We published the research that proves why it works.

Our curriculum draws on analysis of 1,000+ job descriptions, 30+ global AI courses, and peer-reviewed cognitive-science research. It is a category-defining position no competitor holds.

Read the research paper →
Pedagogical philosophy

Five principles, applied in every module.

01 / Cognitive load theory

Material is sequenced so working memory is never overloaded — students absorb, then build.

02 / Scaffolded progression

Each module raises difficulty in calibrated steps. No cliffs, no plateaus.

03 / Project-based learning

Students learn by shipping artefacts. Knowledge sticks because it was used.

04 / Metacognition

Students learn how they think, not just what to think — they can transfer skills to new domains.

05 / Portfolio assessment

Outcomes are measured by visible work and public defence, not by tests in a vacuum.

Values

Four words we hold ourselves to.

01

Rigour

Selective entry, structured critique, defensible work.

02

Creativity

Original output, not pattern-matching to prompts.

03

Ethics

Responsible AI use is not an add-on — it is the curriculum.

04

Agency

Students leave able to direct AI, not be directed by it.

Where to next

Explore the rest of the About section.

Seven destinations. One coherent academy. Each page is short, specific, and designed to answer a different question parents, students, and schools ask.

Next step

Find out where to begin.

We will recommend the right pathway based on individual student's unique interest, skills and ambitions.