Zavmo.ai
Education & EdTech
AI-powered platform designing personalized learning and career journeys using conversational intelligence, neuroscience principles, and real-time skill insights for learners worldwide.
Zavmo.ai is an adaptive AI learning platform built for Iridescent Technology in the UK. It analyses each learner's knowledge, style and career goals, then maps their personalised path to OFQUAL-regulated UK qualifications — with 12 virtual AI characters that adapt in real time to how each individual thinks and learns.
Key capabilities
Neuroscience-informed personalisation
AI analyses cognition, attention and comprehension patterns to adapt content delivery in real time — explicitly supporting ADHD, dyslexia and autism.
12 virtual AI characters
Conversational AI characters guide learners through personalised journeys — each with distinct teaching styles suited to different learning preferences.
OFQUAL qualification mapping
52K+ nationally recognised UK qualifications mapped on the platform — learners earn real credentials, not just completion certificates.
Enterprise workforce intelligence
Organisations get real-time skills gap analysis, apprenticeship levy optimisation and proprietary workforce intelligence with full xAPI tracking.
AI that adapts to how each person learns
The platform combines LLM-powered conversational AI with neuroscience-informed learning design. Each learner interaction generates signals about cognition, attention and comprehension that feed back into the personalisation engine. The 12 AI characters are not cosmetic avatars — each implements distinct pedagogical approaches suited to different learning styles and neurodivergent needs. Enterprise-grade xAPI tracking provides full learning analytics and OFQUAL compliance reporting.
Kenpath's role
Kenpath built the full platform — from the conversational AI engine and personalisation layer to the enterprise dashboard and xAPI integration. The team worked closely with Iridescent Technology's learning science team to translate neuroscience research into working AI systems, ensuring that the personalisation wasn't just algorithmic but genuinely pedagogically grounded.