The problem
Traditional education is fundamentally static and does not scale to individual learners. It rarely adapts to individual thinking styles, pace, or prior knowledge — so learners stall or disengage.
AI EdTech founder
Founder of Adaptly — building AI-native learning infrastructure replacing traditional tutoring with adaptive systems.
Entrepreneur with a background in education, psychology, and building scalable learning systems. I design learning systems based on cognition, motivation, and clarity — translating human learning behaviour into scalable product architecture.
I have worked with students from 70+ countries, shaping content and delivery for a global, online audience.
Built and operated large-scale online education systems serving over 100,000 learners, with approximately 1,000 new students onboarding monthly.
What I build
Adaptly is an AI-native learning system replacing static courses with real-time adaptive education.
It adapts to each learner’s thinking model, delivering explanations, feedback, and progression in real time.
It is designed as a scalable infrastructure layer for AI-driven education, not just a standalone product.
Traditional education is fundamentally static and does not scale to individual learners. It rarely adapts to individual thinking styles, pace, or prior knowledge — so learners stall or disengage.
The system explains concepts in the moment, responds to questions, and adjusts depth based on how each learner absorbs the material.
Why this matters
Education is shifting toward AI-driven systems. Static courses and traditional tutoring do not scale globally and fail to adapt to individual learners.
Adaptly is positioned as infrastructure for the next generation of learning — personalised, real-time, and globally accessible.
We are building a long-term AI EdTech product and selectively partnering with people who think in systems and scale.
We look for:
This is not a content project.
This is infrastructure for AI-native learning.
We prioritise long-term builders over short-term operators.
Traction & milestones
Early-stage product with working prototypes and initial validation. Currently focused on scaling architecture and preparing for international deployment.
Open to partnerships, investment, and collaboration on AI-native education.