Carry the traveler from intent to a confirmed trip.
Travelers describe the trip once. We connect search, availability, checkout, and servicing so the context survives the booking and the change after it.
- Travel marketplaces
- Direct hotel booking
- Tours and activities
- Managed travel
- 06:40Checked in, seat 14C
- 07:10Bag tagged and loaded
- 07:55Inbound aircraft delayed 2h 40m
- 11:05Connection to Boston at risk
Your Boston connection will be missed
Two seats are held on the 13:10 to Boston. No change fee, same fare.
Flight disruption
Three points where travel products hand the journey back to people.
- 01
Planning ends when the traveler should book.
The itinerary is useful, then the traveler repeats every detail in a separate search form.
- Search live inventory in the thread
- Hold and confirm without a new form
- Carry the plan into checkout
69%
of travelers reported using AI to plan or book a trip
GetYourGuide and Arival, 2026 - 02
Disruptions turn into support queues.
Rebooking, refunds and missing confirmations arrive together whenever weather or routes change.
- Read the fare rule for the traveler
- State the full cost before action
- Make the change after confirmation
40%+
of inquiries resolved by Airbnb's AI assistant, according to Airbnb
Customer Experience Dive, Q1 2026 - 03
Travel agents work across disconnected systems.
One quote requires several tools, while hotel rates, availability and guest messages stay apart.
- Search across connected content
- Normalize offers into one view
- Service the booking from one place
91%
of agencies reported using four or more booking systems
Sabre agency survey, 2025
An AI layer across the travel journey.
Established travel product teams and operators bring us a specific break in planning, booking or servicing. We connect the layer to the inventory and reservation systems already in use.
For teams that build travel software
Travel marketplaces
- Search from a plain language request
- Answer property questions from content
- Summarize reviews by need
- Compare and book in the thread
Fare and hotel discovery
- Search by intent, not only filters
- Check a price from an image
- Explain whether to buy or wait
- Hold a fare before payment
Direct hotel booking
- Rank rates by traveler needs
- Keep inventory ready for AI assistants
- Draft replies to reviews
- Prepare guest messages
Tours and activities
- Find reviews by itinerary need
- Draft operator replies
- Book multi-day plans in one thread
- Turn supplier PDFs into itineraries
Managed travel
- Handle changes and rebooking
- Rank options against policy
- Book from Slack or chat
- Match receipts to trips
Airline and agency servicing
- Explain fare rules in plain language
- Summarize booking history
- Triage the service inbox
- Handle bags, refunds and changes
For teams that run travel operations
Hotels, tour operators, agencies and travel platforms. We make the next useful action easier to take, from the first search through the change after booking.
- 01
Bring abandoned and cancelled bookings back.
When a traveler leaves checkout or cancels, show the reason, a workable alternative and a clear route back. Released inventory can return to sale quickly.
Talk to us about this - 02
Turn custom trip requests into deposits.
Read emails and RFPs into a quote, price it against live availability and keep the follow-up attached until the traveler books.
Talk to us about this - 03
Sell the useful next step before arrival.
Offer upgrades, transfers and experiences from the booking and traveler context, then give the guest a direct path to book again.
Talk to us about this - 04
Keep your inventory readable to travel assistants.
Expose current rooms, rates and policies in a form AI assistants can use, with a direct booking path that returns the traveler to you.
Talk to us about this
Four rules for a dependable travel layer.
- 01
Quote live inventory.
The assistant reads current availability, prices and rules instead of relying on an old answer.
- 02
Keep planning and servicing together.
The itinerary, booking and later change remain part of one conversation and record.
- 03
Ask before changing the booking.
No booking, change or refund proceeds until the traveler sees the details and confirms.
- 04
Carry the trip into every handoff.
A person receives the booking, rules and conversation so the traveler does not repeat the story.
The team knows the booking edge cases.
The founding team previously shipped search, booking and post-booking flows at ShareTrip, a travel platform in Bangladesh. That experience informs where the layer needs to protect the final step.
Where this industry usually starts
AI Experience (AX) Audit
A planner can attract attention while the completed booking rate stays flat. We trace the handoff from intent to checkout and set a baseline such as completed bookings or support contacts per booking.
AI Product & UX Design
Travelers need to see live options, prices, rules, and the exact action they are confirming. We design the assistant around those decisions, not around an open-ended chat.
AI Automation & Agentic AI
Rebooking, cancellation checks, disruption messages, and itinerary updates follow defined rules. We put the layer above the reservation systems and route exceptions to the right person.
Travel demand changes by hour.
The assistant must answer during quiet nights, booking peaks and sudden disruptions. We shape the service around those load patterns and the systems behind them.
A week of travel demand
- 1
Planning peaks
A fare drop or holiday window brings more searches long before the traveler is ready to pay.
- 2
Booking peaks
Hold and confirm need the same response under load. A timeout at payment is a lost booking.
- 3
Disruption peaks
One cancelled route can send every affected traveler to the same service path within minutes.
- ~
Quiet hours
Most hours are quieter, so average traffic is a poor basis for sizing the experience.
The layer sits above the booking stack.
Inventory, rates and reservations remain the source of truth. The AI layer turns those records into a clearer search, booking or service step.
Global distribution
Amadeus, Sabre, Travelport
Airline retailing
Direct airline APIs, Duffel
Fare rules
ATPCO
Hotel inventory
Expedia Rapid, Hotelbeds
Property systems
Mews, OPERA, Cloudbeds
Distribution channels
SiteMinder
Tour reservations
FareHarbor, Rezdy
Flight operations
Cirium, OAG
The questions that decide it.
What does it cost to add an AI planner that can complete a booking?
We start with the AI Experience Audit, a fixed price two week sprint. It produces a fixed build price, and the audit fee is credited to that build. The pricing page has current numbers.
Can you work with our booking engine, GDS or NDC connections?
How long does the first travel AI feature take to ship?
What would make travelers trust an assistant with a booking change?
Can the assistant handle changes and cancellations after booking?
How can our inventory appear when travelers ask AI assistants?
Which metric tells us whether the travel layer worked?
Show us where the travel journey breaks.
One call, 20 minutes. We will separate the model, integration and interface problems, then outline the layer and metric worth testing.
- NDA from the first conversation.
- Response within 24 hours, guaranteed.
- Founder-led from first call to handoff.
