How Bulbee Uses AI to Personalise Learning for Children with Special Needs
A two-sided paid platform — specialists (B2B) and families (B2C) both paying — with real-time adaptive content generated individually per child, synchronising specialists, parents, and learners in one place
- Industry
- EdTech / Healthcare / Social Impact
- Platforms
- Web + Tablet App
- AI capability
- AI Content Generation + Adaptive Learning
- Timeline
- 3 years
The challenge
Effective developmental work for children with special needs requires three parties — the child, the parent, and the specialist — to work in sync. In practice, they operate in silos: the specialist runs sessions, the parent does separate exercises at home, and there's no shared visibility into progress.
Static educational content can't adapt to each child's unique developmental trajectory. One-to-one human specialisation is the gold standard but doesn't scale. And any platform serving this space has to earn its place on two sides at once: the professionals who work with these children day to day, and the families paying for results at home.
The solution
DTS built Bulbee — a two-sided platform that synchronises all three parties in a unified adaptive learning system, with both sides paying a recurring fee. The child plays games on a tablet that adapt in real-time based on diagnosed knowledge gaps. The AI generates all learning materials — audio, video, images — individually per child, per session.
The specialists who work with these children (the B2B side) used Bulbee with their clients and paid for it; families (the B2C side) paid for home access. Parents see real-time progress and align home activities. Specialists have full visibility into the child's development and synchronise their work with both the app and the parent. The hard part was never the content generation — it was keeping three stakeholders with different incentives aligned on one review surface well enough that both sides kept paying.
Outcomes
- Two-sided recurring revenue, with retentionSpecialists (B2B) and families (B2C) both paid a recurring fee. That both sides kept paying is the signal, not a headcount.
- Real-time adaptive content per childAI generates unique learning materials — no static library
- Three-party synchronisation on one data modelChild, parent, and specialist working from the same data, with handoffs and visibility designed in
- Specialist-reported developmental progressSpecialists reported unusual developmental progress for the timeframe over a two-year in-centre testing period
- Proven architectural scalabilitySame core technology reused in Swipery (language learning)