ArchiveThis cohort concluded in January 2026.See the London programme
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Autumn 2025 · London — programme concluded

Accelerating AI edtech startups at UCL.

Our Oct 2025–Jan 2026 London cohort — an evidence-driven, founder-focused programme. This page documents that cohort. Applications are now closed.

Why Choose UCL EdTech Labs

Validation First

Evidence that drives traction and revenue.

Product Velocity

Tight feedback loops, faster learning.

Expert Direction

UCL academics, product leaders, operators.

Pitch Ready

Investor-ready stories, impact metrics.

Programme Overview

A structured pathway to market-ready outcomes

STAGE 1

Setting the Foundations

  • Clarity from day one. Cut the noise and get crystal clear on who you serve, why it matters, and how you’ll measure success.
  • • Map your users and stakeholders with precision
  • • Pressure-test your assumptions before they cost you
  • You leave with: A sharp logic model, a focused mission, and the tools to align your team and story.
STAGE 2

The Research Method

  • Decisions powered by evidence, not guesswork. Learn a repeatable system for testing ideas, gathering insights, and avoiding expensive mistakes.
  • • Master practical methods without the jargon
  • • Build lean surveys, interviews, and tests that actually convert into answers
  • You leave with: A research library, a live research plan, and the confidence to validate any big bet.
STAGE 3

AIEd Stream

  • Cut through the AI hype — deploy what matters. Understand what’s real, what’s possible, and how to build AI into your product roadmap.
  • • Explore how AI plays out in real educational contexts
  • • Map the landscape with AWS architects
  • You leave with: A deployment framework, a bank of real use cases, and a draft AI implementation plan.
STAGE 4

Applying the Method

  • Turn validation into a story investors can’t ignore. It’s not just about the outcomes — it’s about the story you build around it.
  • • Shape a sales narrative that lands with partners and investors
  • • End with funding insights you can run with tomorrow
  • You leave with: An investor-ready pitch deck, impact metrics that matter, and a clear growth path.

Programme Timeline

Five months from application to showcase

1
September
Call Opens
Sept 1-19
2
October
Foundations
Kick-off & Setup
3
November
Research Method
+ AI 101 Stream
4
December
Applying Method
Implementation
5
January
Final Day
BETT '26 Week

Selection Criteria

What we're looking for in applicants

AI-first product approach

Your product uses machine learning, natural language processing, or other forms of artificial intelligence as a core feature, not just an add-on.

Traction, testable prototype, or research foundation

You have early users, a working prototype, or solid research backing your approach. Exceptions require strong selector case.

Research mindset and responsible development

You're committed to evidence-based development and ethical considerations around privacy, bias, and educational impact.

Team capacity to execute during programme

You have the technical skills and time commitment to make meaningful progress during the programme.

Delivery Partners

Learn from the best in education and technology

UCL Institute of Education

Institute of Education

World #1 in Education (12 years running, QS 2025). Home to UCL Knowledge Lab, and contributors to UNESCO's global guidance on GenAI in education.

UCL Centre for Digital Innovation powered by AWS

Centre for Digital Innovation powered by AWS

Cloud architecture, data pipelines, and security patterns aligned with enterprise expectations.

Edtech Impact

Edtech Impact

The leading independent reviews and quality framework for EdTech. Helps schools compare, choose, and trust products.

Startup Labs Global

Startup Labs Global

Selection, coaching, and an evidence-driven playbook that turns validation into product velocity and investor-ready stories.

IOE's AIEd Leadership

Why UCL Institute of Education gives us an unfair advantage

World #1 in Education Research

World #1 in Education (QS 2025) → consistent depth and scale in education research & impact.

UCL Knowledge Lab → interdisciplinary lab focused on AI and education, co-design, and real-world deployment.

Global Policy Influence

Global policy influence → IOE researchers co-authored UNESCO's first global guidance on GenAI in education, shaping responsible adoption.

OECD & UK government advisory → IOE experts regularly advise the OECD, Ofsted, and the Department for Education on the safe and effective use of AI and digital technologies in schools.

EdTech Startup Track Record

EdTech startup track record → UCL EdTech Labs has already supported 500+ startups through its accelerator programmes in London and Paris. This track record shows that UCL doesn't just generate ideas → it scales companies that transform learning.

Want to join the next cohort?

The Autumn 2025 London programme has concluded. The London programme continues — see how it runs and register your interest there.

Questions? Email info@ucledtechlabs.com

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