PCI Scope Contained From Sprint One
Tokenisation, refunds, wallets and gateway integration are designed into checkout from day one, which lowers checkout failures rather than discovering PCI scope creep during an audit.
We build booking, distribution and guest platforms as one system — with GDS connectivity, PCI-safe payments, AI-powered search and multi-region compliance engineered in from the first sprint.
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Trusted by businesses across industries














Travel platforms rarely fail on features. They fail on checkout failures during peak, on PCI scope handled carelessly, and on supplier data that falls out of sync. Every build ships with these three layers working from day one.
Tokenisation, refunds, wallets and gateway integration are designed into checkout from day one, which lowers checkout failures rather than discovering PCI scope creep during an audit.
Booking flows are load-tested against your actual peak forecast — a fare sale or a holiday surge — not an average day that hides the real risk of a checkout collapsing under real demand.
GDS, NDC and bedbank feeds are reconciled into one canonical inventory record, so a traveller never sees a fare or a room that is no longer actually available.
A search bar is easy. What decides whether a travel platform survives is the layer underneath it: whether the fare shown is still bookable three clicks later, whether checkout holds up during a fare-sale traffic spike, whether supplier data reconciles across channels, and whether the platform can expand into a new market without a rebuild.
Travel booking has moved almost entirely to mobile and direct-to-consumer channels, with AI-powered search and dynamic pricing now measurable drivers of conversion. The figures below frame the opportunity — replace each with a cited source before launch.
Placeholder metrics — replace with verified AptenTech data before launch.
Each service can be engaged on its own or as part of an end-to-end build.
Search, reservation, cancellation and servicing flows built around real inventory — not a checkout screen bolted onto a supplier feed. This is where most travel apps actually break under load.
Have a Travel App Idea? Let's Pressure-test It First.
Bring the concept, the target markets and the launch date. You'll leave the call with a feature scope, a distribution strategy, a monetisation model and an honest view of the compliance exposure.
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Each model below serves a different traveller or operator — airlines, OTAs, hotel groups, tour operators — and each one changes the distribution logic, the compliance load and the revenue design.
Swipe or use the arrows. Client names and metrics are placeholders — replace with approved case studies.
See how businesses across different industries describe their experience working with AptenTech on their digital products and technology initiatives.
“AptenTech brought clarity to the entire development process. The team understood what we wanted, communicated consistently, and delivered a product that was both polished and practical to use.”
“The team was responsive whenever priorities changed and always explained the available options clearly. We appreciated their attention to detail and the smooth experience from development through launch.”
“AptenTech worked closely with our team instead of simply following a specification. Their suggestions helped improve several parts of the platform, and the final delivery matched our business requirements well.”
A working baseline for a production travel platform. Everything is customisable — the list exists so scope conversations start from something concrete.
Everything the traveller touches — from the first search to a document they can find at the gate with no signal.
The stack below is what keeps a travel platform competitive three years after launch — search that converts better with every query, distribution data that can be trusted, and infrastructure that holds under a booking spike.
Natural-language search and booking that understands intent beyond rigid filters, handling changes and questions without routing every request to a human agent.
Fares and rates that adjust to real demand signals, seasonality and competitor pricing, run against a data pipeline that can be trusted at booking volume.
Personalised trip suggestions built from stated preferences and past behaviour, surfaced at the moments a traveller is actually deciding, not just on a homepage carousel.
Payment and booking-pattern analysis that flags suspicious activity before it becomes a chargeback — a real cost centre in an industry with high-value, easily resold bookings.
Structured signal extracted from thousands of unstructured reviews, surfacing property or route-level issues before they show up as a ratings drop.
Fare, availability and rate changes propagated across every connected channel within seconds, so what a traveller sees never contradicts what a supplier just updated.
Passport, ID and boarding-pass scanning that speeds check-in and identity verification without a manual data-entry step at the counter or in the app.
Churn, upsell propensity and lifetime-value models trained on your own booking history, retrained on a schedule so accuracy does not quietly decay.
Booking and distribution systems that hold up across AWS, Azure and GCP, because most enterprise travel platforms end up multi-cloud whether they planned to or not.
Want AI-powered Search and Dynamic Pricing in Your Platform?
We'll show you what is realistic at your booking volume, what distribution and infrastructure actually cost to run, and which parts are worth building before launch rather than after.
Discuss Your AI RequirementsTravel platforms connect payments, personal data and accessibility law more directly than most categories. These standards are scoped at design time and enforced in the software, not retrofitted after launch.
Six connected stages. Select any stage to see what it produces.
Stage 01 of 06
Audience, business model and supplier strategy. We map GDS, NDC or direct-supplier connectivity alongside the feature scope, because in travel the two decide each other.
Cost is driven by distribution complexity, compliance scope and how many markets you launch in — not by a price list. The tiers below show what changes as the platform grows — replace each range with your verified pricing before launch.
| Platform tier | What it includes | Typical timeline | Investment |
|---|---|---|---|
| MVP | Traveller app with search and booking, a basic admin console, one supplier integration, payments and one market. | 12–18 weeks | Available on request |
| Growth | Everything in MVP plus GDS/NDC connectivity, AI-powered search and pricing, multiple markets and a full revenue-analytics console. | 5–9 months | Available on request |
| Scale | Multi-region compliance, dynamic packaging across suppliers, corporate travel management portal, loyalty programme and white-label tenancy. | 8–14 months | Available on request |
Chosen for distribution reliability, payment security and the ability to staff every layer twice over.
Plenty of teams can build a search screen. The difference shows up in the parts travellers never see — the distribution architecture, the PCI scope boundary, the peak-load testing, and the compliance decisions that protect you before an enterprise partner ever asks.
GDS, NDC and bedbank connectivity are architected first, because most enterprise travel platforms live or die on how well these integrations perform under real load.
Tokenisation boundaries, access controls and audit logging are part of the architecture from day one, so compliance never becomes a post-launch fire drill.
Load testing runs against your actual peak booking forecast — a seasonal spike or a fare-sale surge — rather than an average traffic day that hides the real risk.
Pricing, forecasting, fraud detection and conversational search are deployed where they move booking revenue or cut support cost, not added because a competitor has a chatbot.
Code, infrastructure, design files and documentation are yours from day one, with a handover that leaves your team self-sufficient.
Strategy, design and engineering in one place — no gap between vendors where responsibility quietly disappears.
The questions founders and operators actually ask on the first call — cost, GDS integration, PCI exposure, peak-load design and who owns what at the end of it.
It depends heavily on distribution complexity. A simple booking app with one supplier integration sits at the lower end, while a platform with GDS connectivity, PCI scope, real-time inventory sync and multi-region deployment sits considerably higher. We break every estimate down by workstream so you can see what each part costs and defer what is not needed for launch.
A standard consumer travel app typically runs three to six months. Enterprise platforms with booking engines, GDS integrations and compliance layers usually run six to twelve months or more. We give a range with the assumptions written down rather than a single optimistic number.
Yes. We connect to major GDS providers and NDC-certified carrier APIs as standard, alongside bedbank and supplier content aggregation. The harder part is not the integration itself but keeping performance, data consistency and uptime stable across multiple suppliers and traffic spikes.
GDS platforms like Sabre and Amadeus give broad, standardised access to airline and hotel inventory built on older messaging standards. NDC is a newer, more flexible standard that gives access to richer fare content and ancillaries directly from airlines. Most enterprise platforms end up needing both, since supplier coverage differs between them.
If your app processes, stores or transmits card data, yes. We design tokenised payment flows so card data never touches your servers directly, which significantly reduces your PCI scope and the audit burden compared with handling raw card data in-house.
Load testing against your actual peak forecast, not an average day. A fare sale, a holiday booking window or a schedule disruption can multiply traffic in minutes. Auto-scaling infrastructure and cached, pre-computed search results are what keep booking flows responsive under that load.
Yes. Consumer-facing booking apps and B2B tools like travel CRM, corporate travel management and supplier portals are structurally different products, and we scope and build them as such rather than treating one as a smaller version of the other.
Most successful platforms combine two or three: commission per booking as the base, ancillary and upsell revenue at checkout, and either a loyalty programme or a B2B licensing channel for a second, less traffic-dependent revenue line.
Real-time synchronisation with conflict-resolution rules for when suppliers disagree about the same inventory, plus a fallback cache so the app can still show reasonable availability if a supplier connection degrades temporarily.
Yes. Multi-currency pricing, localisation and region-specific compliance — data residency, tax handling and local payment methods — are standard parts of scope for any platform launching beyond a single market.
You do. Repositories, infrastructure, design files and documentation are yours and handed over as part of every engagement. We sign an NDA before you share anything sensitive.
Often, yes. Many engagements involve replacing a legacy booking engine, adding GDS/NDC connectivity, or rearchitecting for PCI compliance while keeping the existing app experience intact. We start with a review and tell you honestly whether a rebuild is genuinely cheaper than a rework.
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Tell us about the concept, the target markets and the launch window. A senior engineer reads every enquiry and replies with a point of view — not a brochure.
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