IDEA Foundation
Industries/Tourism & Travel
Itinerary AI & OTA backend

AI for travel, booked at scale.

We build AI into travel-agency workflows — itinerary generation, demand forecasting, agentic booking assistance, and multilingual support. From OTA backend to traveller-facing assistant.

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CMMI L5·ISO 27001·DPDPA 2023·PCI-aware·Multi-region
Sector challenges

Travel breaks on the busy days — and the quiet ones bleed.

Seasonality & demand spikes

Search and booking traffic collapse and surge by an order of magnitude inside a single quarter. Forecasting, capacity, and pricing have to ride those curves without breaking.

Multi-language traveller queries

A single trip touches the source market language, the destination language, and the booking-system English in between. Assistants have to hold all three without losing intent.

Fare and inventory complexity

Fare rules, fare families, ancillaries, and inventory availability shift by the minute. Any agent that books has to be right about price and availability at the moment of action.

Supplier integration sprawl

GDS, NDC, hotel CRSes, tour-operator XML, and a long tail of supplier APIs — each with its own quirks. Integration is most of the work, and it never finishes.

Conversion vs. assistance balance

Help too little, the traveller bounces. Help too much, they shop the answer somewhere cheaper. The assistant has to know when to inform and when to close.

What we build

Six capabilities for travel AI that books, not just chats.

Agents

Itinerary generation

Multi-day, multi-city itineraries built from traveller intent — balancing preferences, pace, budget, and live availability into something a traveller will actually book.

ML

Demand forecasting

Forecasts at route, property, and season grain — feeding pricing, capacity, and marketing decisions so seasonality doesn't catch the business off-guard.

NLP

Multilingual conversational assistants

Traveller-facing assistants that hold a conversation in the source language and execute on it in the booking system — across web, WhatsApp, and voice.

Agents

Booking automation

Agentic flows that handle search, fare construction, ancillary selection, and booking — with humans on the loop wherever fare rules or service exceptions demand it.

ML

Personalisation engines

Recommendations grounded in traveller history, declared preference, and live inventory — surfacing the right offer at the right moment instead of the most-clicked one.

Platform

Supplier integration agents

Adapters and agents that absorb the GDS, NDC, and supplier-XML sprawl — turning a long tail of integrations into one stable surface the product can build on.

Proof

What we’ve shipped — in production, today.

Traveller-facing assistants · OTAs and tour operators

Multiple traveller-facing assistants deployed for OTAs and tour operators — multilingual conversation, itinerary generation, and booking automation, integrated into existing fare and supplier stacks.

Engineering bar

Pod-based delivery: product, engineering, ML, and SRE shipping into one release train. Observability, SLA operation, and supplier-integration discipline built in from sprint one.

CMMI L5·ISO 27001·DPDPA 2023·PCI-aware·Multi-region·GDS / NDC-ready
Start the conversation

Ready to ship travel-grade AI? Talk to us.

From OTA backend to traveller-facing assistant — a pod sized to your roadmap, shipping into your release train within weeks.