Describe instead of over-filtering
Start with the journey in your head—budget, interests, timing, pace and people—rather than fighting a wall of generic filters.
AI-assisted intentTell SafariRider what you want to experience. The application will understand that intent, identify vetted local operators whose destinations and experiences fit, and help shape those matches into one clear itinerary—from discovery to confirmation.
Target preview date: 7 September 2026. Timing remains subject to controlled security, infrastructure and deployment checks.
Our current target for the first controlled SafariRider PWA deployment on Google Cloud.
SafariRider is not being built as another global activity directory. It is designed around locally grounded trust, traveler intent and the work required to turn African travel ideas into bookable journeys.
Start with the journey in your head—budget, interests, timing, pace and people—rather than fighting a wall of generic filters.
AI-assisted intentSee vetted operators whose destinations, experience type, availability and service fit can satisfy what the traveler actually asked for.
Verified local supplyCompare itinerary, price, availability and visible trust signals with understandable explanations—not an opaque score.
Explainable choiceMove from discovery to comparison, reservation, payment, trip management and review without losing context across calls, tabs and chats.
End-to-end flowBuild toward customizable journeys across trusted operators while keeping each contribution, price and responsibility visible.
Roadmap · multi-operatorTurn legitimate business evidence, service history and successful journeys into stronger digital reputation and qualified demand.
Operator-aligned growthEach stage carries context forward, while travelers remain in control before commitments involving schedule, money or sensitive information.
Join early access, discuss the Kenya pilot or explore an operator partnership.