For AI platforms

Travel built for your platform, not bolted onto it.

Beeline is the travel layer for AI assistants. Discovery, booking and post-booking management happen inside your product, through tools designed for agents and a commercial model that aligns with your platform.

Native, not bolted on

The trip lives in the conversation.

The common pattern today is a search tool that returns links, after which the user leaves the conversation to do anything that matters. Beeline keeps the whole trip inside the conversation. Your agent takes the user from discovery through to post-booking with your platform holding the context the whole way. The single exception is payment.

Trip lifecycle · where each step happens 1 exception
Searchin-thread
Comparein-thread
Bookin-thread
Paymentweb surface
Modifyin-thread
Cancelin-thread
Managein-thread

The one hop out: card details entered on Beeline's securely hosted web surface, then straight back to the conversation.

01

Discovery

Hotels and flights surfaced and ranked on what the user actually asked for. Natural-language refinement, comparison and follow-up handled in the same thread.

02

Booking

Passenger and guest details captured inside the conversation. Fare and rate conditions surfaced at the right moment. Payment completed on Beeline's securely hosted web app without losing context.

03

Post-booking

Lookup, modification, cancellation and refunds are initiated and tracked through the assistant. No need to remember which app it was booked on.

04

Support & recovery

Failed bookings, schedule changes, supplier-side issues are surfaced cleanly to the agent with the information needed to act, not just to report.

Built for agents, not wrapped for them

Tools designed for language models.

Any decent integration exposes a clean schema. The harder, rarer part shows up when supply built for websites and GDS terminals gets wrapped for agents: overloaded parameters, ambiguous tool boundaries, errors written for engineers reading logs. Beeline follows an agent-native design pattern with descriptions written so a model can tell when to call each tool, tight schemas, live pricing the agent can quote and book with confidence, and errors that are structured for an agent to recover from, not just surface.

tools/search_hotels · tool + error contract
// The tool the model picks — one job, tight schema.
{
  "name": "search_hotels",
  "description": "Search available hotels by destination and dates;
   returns a ranked list (cheapest first) with summary pricing.",
  "input_schema": {
    "destination": { "type": "string",  "required": true },
    "check_in":    { "type": "string",  "format": "date", "required": true },
    "check_out":   { "type": "string",  "format": "date", "required": true },
    "guests":      { "type": "integer", "required": true }
    // + optional: min_stars, max_price_per_night, amenities...
  }
}

// The part most wrapped APIs skip: a recoverable state.
{
  "status": "offer_expired",
  "hint": "The quoted rate is no longer available.
   Search again for live prices."
}

Structurally aligned, by design

Our incentives match yours. A commercial model aligned with user intent. No competing interface.

Your success is our success. Beeline's mission is to make travel work better inside your assistant. We surface results and actions based on the user's intent and preference, not because of our margin structure or upsell quotas.

Incumbent OTA connector

Owns the interface

An app they need users inside.

The connector's job

Drive demand, then pull the booking and the user back to their own interface.

The assistant is

A channel to capture from, not a place to stay.

beeline.

No competing surface

The conversation is the only place we operate.

What a booking does

Makes the next conversation in your assistant sharper.

The assistant is

The product - we add value to it with a travel experience.

That alignment isn't only commercial. Beeline is built for agents transacting on a user's behalf. Authorisation scoped to each transaction, a clean audit trail, and a traceable handoff to the supplier. The user context we hold is on an opt-in basis, scoped to the user, used only to sharpen their own next conversation, and subject to retention and deletion controls.

The data exists to serve the conversation, not to pull users away from it.

Contact

How do you think about travel?

We'd like to hear how your team is thinking about travel as a category inside your assistant and to work with you on how to deliver the best travel experience for your users.