NeuroED AI turns static learning content into adaptive experiences.
NeuroED AI (NED AI) helps educational publishers transform textbooks, e-books, PDFs and exam-preparation materials into interactive, cognitive-friendly learning experiences.
A difficult term becomes a short explanation, a flashcard and a micro-test — without leaving the publisher’s content environment.
Static content does not adapt to real learners.
Educational publishers invest in high-quality content, but learners often struggle with dense text, exam stress, low focus, dyslexia or cognitive fatigue.
Cognitive overload
Long chapters and dense explanations can make learners stop before they reach the value of the content.
Context switching
Learners leave the book or course to search, translate, summarize or create flashcards elsewhere.
Limited content data
Publishers often cannot see which paragraphs, terms or sections create the highest learning friction.
An AI layer on top of educational content.
NED AI adds learning support directly into the content environment, helping publishers make existing materials more interactive, accessible and measurable.
Read inside the publisher’s content
The learner stays in the e-book, PDF, course or learning platform.
Get in-context explanations
Difficult terms are explained in simple, context-aware language.
Create verified flashcards and micro-tests
Learning assets are generated from publisher-approved source content.
Repeat at the right time
Spaced repetition helps learners return to key material when it matters.
Learn from anonymized analytics
Publishers see where learners struggle, without receiving medical or diagnostic data.
Value for publishers and learning-content providers.
NeuroED AI is designed as a B2B / B2B2C product for educational publishers, exam-preparation providers and professional learning-content owners.
New digital value from existing content
Turn textbooks, e-books and PDFs into living learning products with AI-powered explanations, flashcards and micro-tests.
Higher engagement inside your ecosystem
Reduce context switching and keep learners inside the publisher’s own content environment.
Measurable learning friction
Use anonymized drop-off and difficulty signals to improve future editions and digital products.
Publisher-grade accuracy
Use source-bound generation, review workflows and “limits of analogy” notes to reduce AI hallucination risk.
Focused MVP, not an overbuilt platform.
The first MVP will focus on one educational vertical and one pilot partner, with a narrow feature set that can be tested quickly.
Initial verticals
Mathematics exam preparation or Business & Tech English.
Core MVP
Chunking, explanations, verified flashcards, micro-tests, spaced repetition and basic analytics.
Later roadmap
Audio support, richer multimodality, study buddy, community and deeper platform integrations.
Team
A small founding team combining real teaching experience with IT delivery, product structuring and B2B execution.
Dorokhtii Oksana
Co-founder and educational methodology lead. Experienced mathematics and English teacher/tutor with six years of experience, focused on exam preparation, foreign educational programmes and neuroadaptive learning methods.
Oleksii Hryhorovych
Co-founder and product/delivery lead based in Germany. Senior IT Project Manager / Delivery Director with 19+ years in IT delivery, enterprise automation, stakeholder management and Microsoft-based business applications.