Wayport

Inspiration

We were inspired by the idea of enterprise ai travel. Through our internships we've always had to book things ourselves for company trips, so the idea of automating this is something that we thought would be useful for us and many other people.

What it does

It uses multiple agents in order to travel, book hotels, and negotiate to find the cheapest prices. It also allows managers to add employees onto their business trips and plan itinerary. This information is then sent as a notification to employees in the form of tickets, budget and an itinerary list.

How we built it

We built WAYPORT as an agentic travel platform where AI agents—not static forms—plan, price, and coordinate entire trips. The frontend runs on Next.js, React, and TypeScript with Tailwind, Framer Motion, and Three.js for a cinematic feel, while Mapbox powers an interactive "Map OS" that visualizes every stop on the itinerary. Trip creation starts with a Concierge intake that uses Gemini to turn natural language into structured trip data, which an Orchestrator then routes to specialized agents (Planner, Flights, Hotels, Financial, and others) that each log their actions for full auditability under a risk-tiered policy engine. The Planner builds day-by-day itineraries with real pricing, and a scoring system (Rove) compares payment options—cash, miles, points—to optimize cost. Data is stored in Postgres via Prisma and synced to Firebase, payments run through Rain virtual cards, and third-party APIs (Amadeus for flights, Stay22 for hotels, OpenWeather, Clerk for auth) round out the system—all designed to work in a full demo mode even without live credentials. The result is a multi-agent, map-visualized operating system for planning trips solo or coordinating group travel at scale.

Challenges we ran into

Biggest challenge was setting up the firebase. Working with firebase's SDK in IOS was genuinely so annoying to work with, and then connecting that with web app data was also difficult.

Accomplishments that we're proud of

We're proud of the fact we accomplished a CRAZY amount of stuff in a short time. We worked very efficiently and I'm happy we were able to come up with a functioning app with agent orchestration, and database.