Aviation
In aviation, revenue depends on a single chain: search, seat selection, ancillary services, payment. We bring all of it into automated regression scope. When one step breaks, the team learns it from the pre-release report rather than from complaints reaching the call centre.
Booking platform migration is the riskiest project in aviation, and the risk sits not in the code but in the behavioural difference between the old and new systems. We run regression suites in parallel across both environments and surface the differences before cutover. Corendon Airlines completed its IBS migration this way with zero downtime.
Flight operations will not accept a system that stops, so you do not have the luxury of taking it down to test. We build production-like conditions in a test environment and generate the load and scenarios there. How a change will behave is known before it reaches production.
Demand in aviation is not flat: the run-up to a holiday, the hour a campaign opens, a surge in refunds during a disruption. We generate those loads in advance, complete with geographic distribution. The capacity decision rests on measurement rather than on last year’s numbers.
AutoRunner is an AI-powered test automation product that runs critical flows automatically on every release. In aviation it covers the whole revenue chain: flight search, seat selection, ancillary sales, payment and check-in. In migration projects it runs the same suites in parallel across old and new environments to surface behavioural differences, so the migration decision is made on a comparative report rather than an estimate.
Loadmance is an AI-powered performance testing product that generates expected traffic from distributed cloud infrastructure in a pattern close to real user distribution. Load in aviation arrives suddenly: the hour a campaign opens, the run-up to a holiday, a mass rebooking driven by weather. Loadmance runs those scenarios in advance and shows where the system slows and where it breaks, with measurements reported as Apdex scores and SLA impact.
Ddosphere is a security resilience product that validates your defences through controlled attack scenarios. In aviation the booking infrastructure is the revenue gateway, and sales stop the moment it does. It runs tests at five intensity levels across the TCP, UDP and ICMP protocols, with scope and stop thresholds agreed in advance, and delivers the result as a documented resilience report.
RabbitQA is a multi-agentic AI platform that analyses requirements before they enter development. Business rules in aviation are layered: fare, baggage allowance, refund conditions, ancillary pricing. RabbitQA flags contradictions and gaps in those rules before development starts, so a badly defined refund rule does not return as an invoice months later.
Roboclick is an AI-powered testing robot that performs physical validation of POS and SoftPOS devices. In-cabin sales terminals have to be tested under demanding conditions: offline operation, synchronisation, multiple currencies. Roboclick runs those scenarios on a real device with a robotic arm, validates the screen through optical character recognition and records every step.
Booking and check-in channels are tested against WCAG 2.2 criteria. In aviation, accessibility is not only a compliance obligation but a sales channel question: a booking that cannot be completed is a ticket lost.
In migration projects, the risk is the behavioural difference between the old and new systems. Regression suites are run in parallel across both environments, output differences are reported, and critical transaction flows are validated before cutover. Corendon Airlines completed its IBS migration this way with zero downtime.
Most testing runs in a separate production-like environment, so production does not have to stop. If measurement in production is required, the test window is moved to a low-traffic period and automatic stop is configured on threshold breach. Scope and stop criteria are defined together in advance.
Yes. Distribution channel integrations are validated through end-to-end scenarios. In aviation the most expensive defect usually appears not in your own code but in the contract between you and the channel. Behavioural differences in fare, availability and booking calls are caught before release.
The common approach is to take a first measurement at least a few weeks before the season and repeat the test once the bottlenecks found have been addressed. A single test does not show whether the improvement worked; the comparative second run is what makes the capacity decision reliable.
In aviation, systems are closed to interruption and the whole chain is interdependent: booking, check-in, operations and distribution channels all have to work at once. There is no maintenance window, and a defect is visible immediately. That is why testing is designed as a continuously running assurance layer rather than a post-maintenance check.
Complete the form; let’s discuss your reservation, check-in, and mobile-channel flows, seasonal peaks, and integration map. We’ll show concretely where risk accumulates along the passenger journey.
