GET /v1/inventory · 847ms · 12,440 results · LIVE POST /v1/booking · 1.2s · LH4478 BER→AMS · CONFIRMED GET /v1/profile/ctx · 312ms · seat 14A · meal: vegan · HIT PATCH /v1/booking/mgmt · reroute · SQ307 → EK221 · EXECUTED GET /v1/itinerary/assemble · 628ms · 4 segments · 1 hotel · READY AGENT disruption-watch · CDG delay +3h · ALT DRAFTED · awaiting exec GET /v1/inventory · 791ms · 9,872 results · LIVE POST /v1/booking · 0.9s · NH3301 AMS→NRT · CONFIRMED GET /v1/profile/ctx · 289ms · row 3 · lounge access · HIT PATCH /v1/booking/mgmt · upgrade exec · row 2C · DONE GET /v1/inventory · 847ms · 12,440 results · LIVE POST /v1/booking · 1.2s · LH4478 BER→AMS · CONFIRMED GET /v1/profile/ctx · 312ms · seat 14A · meal: vegan · HIT PATCH /v1/booking/mgmt · reroute · SQ307 → EK221 · EXECUTED GET /v1/itinerary/assemble · 628ms · 4 segments · 1 hotel · READY AGENT disruption-watch · CDG delay +3h · ALT DRAFTED · awaiting exec GET /v1/inventory · 791ms · 9,872 results · LIVE POST /v1/booking · 0.9s · NH3301 AMS→NRT · CONFIRMED GET /v1/profile/ctx · 289ms · row 3 · lounge access · HIT PATCH /v1/booking/mgmt · upgrade exec · row 2C · DONE

Embedded travel infrastructure

The travel tech spine
your product is missing.

One API call. Your user books a flight, a hotel, a train — without ever leaving your product. The session doesn't break. The data doesn't disappear. Raile handles everything underneath.

Get API Access See how it works →

6

agents on call 24/7

<2s

end-to-end booking

0

redirects to OTAs

https://api.raile.dev/v1

// POST /v1/booking

{

"origin": "AMS",

"destination": "NRT",

"traveler_id": "usr_k9X2mP",

"preferences": // loaded from profile agent

}

→ 200 OK · 1,204ms

{

"booking_id": "bkng_7wRt4Q",

"status": "CONFIRMED",

"carrier": "NH · Seat 3A",

"hotel": "Aman Tokyo · 2 nights",

"disruption_watch": true

}

▶ disruption-agent watching NH3301

The problem

You own the UI.
You own nothing underneath.

You built a beautiful agentic travel experience. The AI understands intent. The recommendations are sharp. The interface is polished. But the moment your user wants to book — you redirect them to an OTA. The session breaks. The user leaves. The booking data disappears into someone else's system. You built the face. Someone else owns the spine.

Every booking you redirect is a relationship you don't own. Every cancellation your user handles manually is a support problem you invited in. Every preference that resets on the next trip is a product failure your team didn't cause and can't fix.

"We spent eight months on the travel AI. We had nothing for the booking layer. Every prototype ended with a redirect." — PM, Series B travel startup

What Raile does

Three things. Done properly.

Live inventory calls

Real-time, not cached. Every query hits supply directly. Your users see what's actually available — not what was available four hours ago. No stale rates, no ghost inventory, no checkout failures from mismatched availability.

What it feels like: search results that actually convert.

// Inventory agent response · 847ms
GET /v1/inventory?origin=AMS&dest=NRT&date=2026-05-14
{
"results": 12440,
"source": "live",
"cached": false,
"price_variance_24h": "+2.1%",
"best_match": {
"carrier": "NH 3301",
"price": 847,
"available_seats": 4
}
}

// Profile agent · traveler context
GET /v1/profile/ctx?traveler_id=usr_k9X2mP
{
"seat": "aisle",
"meal": "vegan",
"lounge_access": true,
"preferred_carrier": ["NH","LH"],
"hotel_tier": "5-star",
"context_source": "cross-platform",
"last_updated": "live"
}

Persistent traveler context

Profile and preferences travel with the user across every platform built on Raile. Seat preference, dietary requirements, loyalty numbers, carrier preferences — the profile agent holds all of it and makes it available to every booking, on every platform, forever. The traveler never enters their details twice.

What it feels like: a concierge who actually remembers you.

CRUD + human escalation, baked in

The API handles all booking operations — changes, cancellations, upgrades, rebookings. When something breaks at 2am, there's a human in the loop. The disruption agent catches the problem before your platform does, drafts alternatives, executes the fix. Your users wake up to a confirmation. You never need a support team.

What it feels like: a problem that solved itself before you noticed.

// Disruption agent · 02:14 CET
⚠ CDG-AMS LH1234 · delay +4h · connection broken
// Reroute options drafted automatically
ALT_1: AF1234 CDG→AMS · +2h · €0 change fee
ALT_2: TGV direct · 3h22m · €89
// Booking management agent
PATCH /v1/booking/bkng_7wRt4Q
carrier → AF1234
status → REBOOKED ✓
// 02:16 CET · user notified
// no human touched this

Integration

Four calls. Full travel stack.

Step 01

GET /v1/inventory

Query live supply

Pass origin, destination, dates. Get real-time results across flights, hotels, rail. Your agent picks the best match.

Step 02

GET /v1/profile/ctx

Load traveler context

Pull preferences, loyalty numbers, past choices. The profile agent returns a rich context object. Use it to personalise the booking automatically.

Step 03

POST /v1/booking

Execute the booking

One call confirms the trip end-to-end. Flight, hotel, car — the booking agent handles all confirmations. Disruption watch activates automatically.

Step 04

WEBHOOK disruption

Sleep well

The disruption agent monitors every trip. If anything changes — delay, cancellation, overbook — it acts. You get a webhook when it's resolved.

What builders say

"We had the AI working. We had the recommendations working. We had nothing for the booking layer. Raile was the only thing that didn't make us send users to another tab. Integrated in a weekend."

Yannick Haber

Head of Product, Layla AI

"Our traveler at CDG had a broken connection at 1am. Raile's disruption agent had already rebooked her on Air France and texted her confirmation before our support team even saw the ticket. That's the product."

Sofia Mertens

CTO, Mindtrip

"We plugged Raile into our Salesforce Travel vertical in six weeks. The persistent traveler profile alone justified the integration — our corporate users stopped re-entering their preferences on every trip. Retention went up."

Marcus Chen

VP Engineering, Salesforce Travel

Pricing

You pay when the trip is delivered.

€47 per completed trip. €0 on failures. No commission on inventory lookup. No monthly seat licences. No per-query fees for browsing. One number — when the booking confirms.

// Pricing model
completed_trip    → €47
failed_booking     → €0
inventory_lookup  → €0
profile_read      → €0
disruption_watch  → included
// No seats. No retainer. No catch.

Build Free

10,000 API calls/month. Full agent access. Sandbox environment. No card required.

Production €47 / trip

Unlimited calls. All 6 agents. Disruption watch on every booking. SLA 99.9%. Human escalation included.

Enterprise Custom

Volume pricing, custom SLAs, dedicated Field Ops embed, white-label option.

Questions

Things builders ask.

How is this different from plugging into an OTA's API directly?

OTA APIs give you access to their inventory and redirect users to their checkout. Raile keeps the user in your product, aggregates supply from multiple sources, holds the traveler's profile, and handles post-booking operations. The key difference: you own the relationship.

What happens when the disruption agent gets it wrong?

The agent drafts and executes only within pre-approved parameters — spend threshold, preferred carriers, max journey time. Above those thresholds, a human reviews within 3 minutes before execution. The agent is not autonomous on high-stakes decisions. When the agent's first-choice rebook fails, it falls back automatically to the next ranked option and notifies the traveler in real time.

What data does Raile store about my users?

Raile holds traveler context (preferences, loyalty numbers, past trips) on behalf of your platform. You control data retention and deletion via the Profile API. Traveler data is never shared across platforms without explicit consent — your users' profiles are yours. GDPR-compliant by default, ISO 27001 certified.

How long does integration take?

The core booking flow (inventory → context → book → watch) is a weekend integration for a senior engineer. Our Field Ops team embeds with enterprise accounts for 60 days to build out custom workflows, escalation rules, and platform-specific agent configurations. Typical time from API key to first live booking: 3 days.

Do you have webhooks and async support?

Yes. Every booking operation has a synchronous response and an async webhook on state changes. Disruption events, rebooked segments, profile updates, itinerary changes — all delivered to your endpoint in real time. OpenAPI spec available. SDK in Python, TypeScript, Go.

What's your SLA and uptime history?

99.9% SLA on Production. 99.7% achieved over the last 12 months (6 minutes unplanned downtime in Q4). Status page at status.raile.dev. Incidents are posted within 5 minutes, with post-mortems within 48 hours. No SLA credits without questions asked.

The travel tech spineyour product is missing.

You own the UI.You own nothing underneath.