Ruma Travel is a points-first travel recommendation platform that helps users decide whether to book flights and hotels using loyalty points or cash, based on which option delivers the best real-world value for their specific situation.
Today's travel planning experience is fragmented. Users search flights on one platform, hotels on another, and have no centralized way to track or use their loyalty points effectively. Loyalty balances are spread across multiple airlines and hotel providers, making it difficult to understand where points can be used best or even how much value they represent.
Ruma Travel combines a classic trip search experience with a conversational AI interface that allows users to describe their travel plans in natural language. We prioritize trip itineraries that can be paid using loyalty points and provide clear, explainable recommendations on whether to use points, pay cash, or transfer points first.
Ruma Travel is designed for people who accumulate airline or credit-card points but don't know when, how, or if they should actually use them. Whether you're a frequent traveler with smaller balances or someone with large point balances from years of loyalty, we help you make smarter booking decisions.