Recolearn Limited · Mechatron Robotics
In production
Open to read the case study
Recolearn Limited
By Recolearn LimitedRecolearn is an AI-powered learning platform that delivers personalized, gamified, and immersive education through adaptive content, AR/VR, and smart agents. It boosts learner engagement, supports well-being, and promotes sustainable, future-ready skill development.
- Stage
- In production
- Industries
- Healthcare
- Banking and finance
- Manufacturing
- Deployment
- Hybrid
Why it is worth it
Recolearn uniquely combines AI personalization, immersive AR/VR learning, and well-being-focused gamification to deliver deeply adaptive and engaging education. Unlike traditional LMS platforms or standalone AI tools, Recolearn uses multi-agent AI, neuro-behavioral insights, and sustainability-aligned modules to personalize each learner’s journey—making it not only effective, but also ethical, inclusive, and future-ready. Our proprietary AI agents, emotion-aware feedback loops, and modular AR/VR content set us apart in both capability and learner impact.
- Recolearn addresses multiple enterprise pain points in training, productivity, and workforce development:
- 1. Low engagement and retention in learning
- Solved through AI-personalized, gamified, and adaptive learning paths tailored to each employee’s pace, behavior, and role.
- 2. Inefficient, manual training processes
- Automated course generation, assessments, and real-time feedback using generative AI and smart tutoring agents.
- 3. One-size-fits-all learning models
- AI-driven personalization ensures content relevance, reducing cognitive overload and improving knowledge retention.
- 4. Lack of performance insights
- Real-time analytics and AI-driven dashboards provide insights into learner behavior, progress, and skill gaps.
- 5. Difficulty scaling global or multilingual training
- Supports multilingual delivery, localization, and consistent content deployment across franchises or international teams.
- 6. Misalignment with ESG or sustainability goals
- Embedded sustainability modules and behavior nudges align employee training with organizational impact targets.
Opening the deck…
Page 1
Best customer profile
- Our ideal customer is an education or training provider seeking scalable, personalized learning experiences powered by AI.
- A. Segments:
- Mid-to-large educational institutions (K-12, universities)
- Corporate L&D departments in sectors like sustainability, healthcare, and tech
- EdTech and training franchises looking to digitize or expand globally
- B. Company Size:
- Typically 50–5000 learners, with multi-location or multilingual needs
- C. Use Cases:
- Personalized onboarding and upskilling
- AI-enhanced academic delivery and learner engagement
- Gamified microlearning and immersive AR/VR modules
- Assessment automation, well-being tracking, and sustainability-linked learning
- D. Customer Needs:
- Boost engagement and outcomes through adaptive learning
- Automate content delivery, tutoring, and feedback
- Align learning with ESG goals and digital transformation
Notable paying customers
- Neurapses Technologiesm India Mechatron Robotics, India Kindnamic, London Terra Hale, London Linda, Slovakia
Key milestones
Key Milestones Achieved: A. Product Development - Launched MVP of Recolearn with core AI personalization, and content composer modules - Developed proprietary AI agents for content generation and learner guidance B. Customer Traction - 2 paid institutional business - Signed 3 institutional PoC agreements with universities and corporate training partners - Onboarded 500+ early users across education and sustainability pilot programs - Positive user feedback on engagement, learning outcomes, and platform usability C. Funding & Grants - Raised around £250,000 in early capital (friends, family and founder-led investment) - Registered on Vestd for CAP table management and applied for SEIS, UK D. Technical Breakthroughs - Working on adaptive content delivery using behavior + neuro-personalization signals - Built multi-agent orchestration layer combining GPT APIs with custom recommender models - Achieved real-time emotional tracking accuracy for smart tutoring >85%
Customer case
3 customer deployments, shown below.
Recolearn Limited · Concordia
In productionOpen to read the case study
Recolearn Limited · Kindnamic
In productionOpen to read the case study