GoKawiilOver the weekend, I spent hours searching for flights for a summer girls' trip and came up empty. Every option was either too expensive, landed at the wrong time or had two stops on the way -- which I'm absolutely not doing. I checked multiple airlines, pieced together routes and even considered separate tickets. Nothing worked.
That kind of frustration is exactly what Mindtrip is betting on.
The AI-powered travel platform is launching a new flights feature designed for the kinds of messy, real-world searches that traditional booking tools struggle to handle. Instead of optimizing for simple routes, Mindtrip is focused on the complicated scenarios travelers actually face, where flexibility, preferences and trade-offs all collide.
Read also: Google's New Travel Features Are Here in Time for Summer
Mindtrip AI planning and how it works
Mindtrip already combines conversational trip planning with a visual interface that pulls in maps, reviews and itineraries. With flights, it is extending that system into one of the most time-consuming parts of travel planning.
In a virtual demo with CEO Andy Moss and product VP Abby West, the company positioned its approach as less about speed and more about reasoning. The goal is not just to return results quickly, but to think through constraints the way a real traveler would.
That shift is showing up in how people actually search, too. According to West, many people do not start with a fixed destination. Instead, they describe a set of conditions. For instance, they might want somewhere warm within a four-hour nonstop flight, or they'll ask when they can get to Paris within a certain budget.
Those kinds of queries are difficult to execute manually. They require checking multiple destinations, comparing dates and factoring in seasonality.
Mindtrip's system treats them as a single problem. It samples across routes and timeframes, weighs constraints and returns a short list of options that fit.
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