Portfolio
At a glance
A time-aware EV charging intelligence platform that helps drivers choose reliable chargers and make better use of charging downtime through duration-matched local recommendations.
Technology, Market, Status
Charger reliability scoring • time-aware recommendation engine • local discovery aggregation • route-aware planning logic
UK EV drivers, Beta opening Q2 2026
Verification Layer
Introduces a verification intelligence layer on top of public EV charging and location data. This layer validates key decision factors at each charging stop
Location intelligence and multi-source mapping , Verification protocols for physical locations, Reliability and safety scoring algorithms, Personalization and behavioural modelling, Partner integration and reward systems, Context-aware recommendation engine
Platform Advantages
Capital efficient: 80% infrastructure reuse across products, Cross-learning: Each vertical strengthens the verification model, Scalable: Verification layer applies across travel categories, Defensible: Context + trust + intelligence create competitive moat
Phase 1 (2026): Validate Core Verticals
Zap: Prove demand for verified EV charging experiences
Bliss: Generate revenue and validate accommodation verification
Phase 2 (2027): Scale Proven Verticals
Zap: Expand to EU charging networks
Bliss: Geographic expansion (Ghana, Kenya, South Africa, Canada, UAE)
Phase 3 (2028+): Platform Expansion
Remote work destination verification
Medical tourism trust layer , expat relocation intelligence
Verified mobility and neighbourhood APIs
Active discussions with charging networks and property partners
Two MVPs in development
Early validation in both target markets