LINGOKIDS 2.0 · Project

AI-Powered Adaptive Learning Platform That Personalizes Early Childhood Education at Home

digitalMarket-readyTRL 8

Imagine every kid learns differently — some love puzzles, others prefer songs, and some need things repeated more often. Lingokids built an app that watches how a child plays and automatically adjusts lessons to match their pace, preferences, and even mood. It's like having a private tutor that figures out what works best for each kid, but delivered through a tablet at home. The platform started with English language learning and was designed to expand into other subjects using the same smart technology.

By the numbers

3M+

users worldwide

6,000+

educators engaged

37,000+

premium paying subscribers

€1.2M

annual recurring revenue (ARR)

€1,120,875

EU contribution (SME Instrument Phase 2)

The business problem

What needed solving

Most early childhood education apps deliver the same content to every child, ignoring that kids learn at different speeds and in different ways. Parents want effective home learning tools but have no way to customize lessons to their child's needs. Schools adopting blended learning lack platforms designed specifically for preschool-age children that bridge classroom and home education.

The solution

What was built

The project delivered an upgraded adaptive learning platform (beta at month 12) with AI-driven personalization that adjusts lessons based on each child's level, learning preferences, and emotional state. Training materials and documentation for educators, parents, and other users were included with the platform.

Audience

Who needs this

EdTech companies wanting to add adaptive learning to their children's productsEducational publishers looking to digitize content with personalizationPreschool and daycare chains seeking home-learning extensions for parentsCorporate training companies exploring early education market entryTelecom or media companies building family-oriented digital services

Business applications

Who can put this to work

EdTech / E-Learning

SME

Target: Online education platforms and language learning app companies

If you are an e-learning company struggling to keep young learners engaged and reduce churn — this project developed an AI-driven adaptive engine that personalizes learning paths in real time based on each child's level, preferences, and emotional state. With over 3 million users and 37,000 premium subscribers already validated, the underlying adaptive technology could be licensed or white-labeled for your own content verticals.

Publishing & Educational Content

mid-size

Target: Children's book publishers and educational content producers

If you are an educational publisher looking to digitize your content and make it interactive — this project built a platform with a proven Ludic Learning Method that adapts content delivery to multiple intelligences. The blended learning approach, already used by over 6,000 educators, offers a tested framework for turning static educational materials into personalized digital experiences.

K-12 Schools & Preschool Chains

any

Target: Preschool networks and early childhood education centers

If you run preschools or early learning centers and want to offer parents a quality home-learning extension — this project created a platform optimized for blended learning strategies where educators and parents work together. With a beta platform including training materials and documentation for every user type, the system is ready for institutional adoption.

Frequently asked

Quick answers

What does this platform cost and what's the pricing model?

The project data shows the platform already generates €1.2M in Annual Recurring Revenue from 37,000 premium users, indicating a subscription model at roughly €32/year per premium user. Specific licensing or white-label pricing for B2B partners is not disclosed in the project data.

Can this technology scale beyond language learning?

Yes — the objective explicitly states that new verticals (other languages and different subjects) will be added using the same adaptive technology and methodology. The AI engine and Ludic Learning Method were designed to be content-agnostic, making expansion into math, science, or other subjects a planned next step.

What is the IP situation — can we license this technology?

The project was funded under SME Instrument Phase 2, meaning all IP stays with Monkimun Labs SL (the sole partner). Any licensing, white-labeling, or technology transfer would need to be negotiated directly with the company.

Is this actually used by real people or still experimental?

This is a commercial product with proven traction. The objective reports over 3 million users worldwide, more than 6,000 educators engaged, and 37,000 premium paying subscribers. A beta version of the enhanced platform (v2.0) was delivered at month 12 of the project.

How does the adaptive AI actually work?

The platform personalizes each child's learning path based on three inputs: their current skill level, their preferences across different types of lessons (aligned with multiple intelligences theory), and their emotional state using affective computing. All adjustments happen in real time during play sessions.

Does this comply with children's data privacy regulations?

Based on available project data, specific compliance certifications (COPPA, GDPR for children) are not mentioned in the objective or deliverables. Given the platform handles children's behavioral and emotional data, this would be a critical question for any potential partner or buyer to verify directly.

What support is available for institutional deployment?

The beta platform deliverable explicitly includes training material and documentation for every user type. The platform was also optimized for blended learning strategies by educators, suggesting institutional deployment was a design goal of the project.

Consortium

Who built it

This is a single-company project — Monkimun Labs SL from Spain is the sole partner, which is typical for SME Instrument Phase 2 funding designed to accelerate high-growth startups. The consortium is 100% industry with no university or research partners, meaning all development is commercially driven. The €1.12M EU contribution went entirely to one SME that already had market traction (3M+ users, €1.2M ARR), signaling this was a scale-up investment rather than basic research. For a business partner, this means the technology sits inside a single private company with full IP ownership — any collaboration requires a direct deal with Monkimun Labs.

MONKIMUN LABS SLCoordinator · ES

How to reach the team

Monkimun Labs SL (Madrid, Spain) — contact via company website lingokids.com

Order a report on this consortium See MONKIMUN LABS SL profile →

Next steps

Talk to the team behind this work.

Want an introduction to the Lingokids team to explore licensing, partnership, or white-label options? SciTransfer can arrange a direct meeting.

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