Frequently Asked Questions
What Globaleur is, what it does, and how travel enterprises use it for airline personalization, an AI travel concierge, and a real-time travel recommendation API. Don't see your question? Talk to our team.
01What is Globaleur?
Globaleur is a travel-tuned AI infrastructure platform. It turns traveler signals — context, history, preferences, and real-time intent — into personalized recommendations, commerce actions, and service experiences across an operator's digital touchpoints. It is built to run alongside the systems travel enterprises already operate, not to replace them.
02What does the platform do?
The platform ingests traveler and inventory signals, reasons over them with travel-specific models and a structured travel ontology, and returns ranked recommendations and commerce actions in real time. Operators use it to personalize search, offers, upsell, and service across web, app, and assisted channels.
03Who is Globaleur for?
Globaleur serves travel enterprises — airlines, airports, hotels and resorts, tourism boards and DMOs, OTAs and travel platforms, and card issuers with travel programs. It is designed for teams that need enterprise-grade personalization and commerce without building an AI stack from scratch.
04What is an AI travel concierge, and does Globaleur power one?
An AI travel concierge is a conversational, context-aware assistant that helps a traveler plan, book, and manage a trip end to end. Globaleur provides the reasoning, personalization, and commerce layer behind a concierge experience — understanding intent, grounding answers in real inventory and destination knowledge, and turning a conversation into bookable actions within the operator's rules. See Building the AI Travel Concierge.
05How does Globaleur handle airline personalization?
Globaleur personalizes the airline journey — search, offers, ancillaries, upsell, disruption, and loyalty — by combining traveler context with the carrier's fares, inventory, and commercial rules. Recommendations are bounded by the operator's policies and can be delivered through existing channels via API, so personalization stays consistent across touchpoints. Related reading: The Future of Airline Retailing.
06Do you offer a travel recommendation API?
Yes. Globaleur exposes its personalization and recommendation capabilities through an API, so operators can request ranked recommendations, offers, and next-best actions from their own web, app, and back-office systems. The API integrates alongside existing platforms — booking, CRM, loyalty, content — rather than requiring a rip-and-replace. See the Travel Data Integration Guide.
07What data does Globaleur use to personalize?
Globaleur works from the signals an operator already has — traveler context and history, search and booking behavior, destination and content data, and inventory — combined with a structured travel ontology. We practice data minimization, processing only what a given surface needs, and integrate with existing systems rather than centralizing their data. See the Travel Ontology.
08How does Globaleur integrate with our existing systems?
Globaleur is API-first and built to deploy inside enterprise boundaries, integrating with the booking, content, CRM, and loyalty systems you already run. It acts as the reasoning and decisioning layer between your data and your channels, so you keep your systems of record.
09How long does a typical deployment take?
Timelines depend on scope and integration surface, so we map a phased rollout for each team — typically starting with a focused, high-value use case and expanding from there. Request a demo and we will outline a realistic path for your stack. See also the Enterprise AI Deployment Checklist.
10How does Globaleur handle data security and governance?
Globaleur is built to deploy inside enterprise boundaries with encryption in transit and at rest, least-privilege access, network segmentation, and audit logging. We act as a processor under our Data Processing Addendum when handling customer data. See our Security & Governance Review for detail.
11Can we control and audit what the AI recommends?
Yes. Recommendations are bounded by your commercial and regulatory rules — guardrails define what the system may offer, what it must never promise, and when it escalates to a human. Platform actions are logged so any recommendation or write-back can be reconstructed and audited. Our approach to model behavior is described in our Responsible AI commitments.
12How do we get started?
Request a demo and we will walk through your use case, map a phased rollout, and discuss commercials for your scope. Reach the team at sales@globaleur.com or through our contact page.