Capability
Quality cannot be inspected in at the last minute. Next Orbit’s QA engineers join a project at the requirements stage, and no release leaves our hands until it has passed an agreed set of checks, whether it is a web platform, a mobile app, an integration or a connected device.
Quick answer
Software testing and QA is the planned checking of software against its requirements before real users rely on it. Next Orbit provides manual and automated testing of function, regression, performance, security, compatibility and usability. We test systems we build and, independently, systems built by others, for organisations in Dubai, Abu Dhabi, Sharjah, the entire UAE, the GCC and globally.
Every engagement is architecture-led, delivered by an innovative, R&D-backed team of security-first engineers and quality-controlled before each release, for clients across Sharjah, Dubai, Abu Dhabi and the entire UAE, the GCC and globally.
Test runner
This is a real shape of suite we run before a release: business flows, bilingual layouts, offline behaviour and permissions. One failure is enough to stop the release. Press run to see it in action.
Bug lifecycle
By an automated run or a tester, with steps, device, screenshot and log attached.
Severity and priority agreed with you, so critical issues block the release and cosmetics do not.
A developer fixes it, another reviews it, and a test is added so it cannot return.
Closed only when it passes where you will use it, not just on our machines.
What you get
Manual and automated checks of function, performance, security and compatibility before each release.
Deliverable 01 · Quality assurance & testing
Every user story is tested against its acceptance criteria, including the awkward paths: wrong input, missing permissions and dropped connections.
Deliverable 02 · Quality assurance & testing
Repeatable checks are automated at unit, API and interface level and run in the CI/CD pipeline, so a breaking change is flagged within minutes.
Deliverable 03 · Quality assurance & testing
Existing behaviour is re-verified before each release, so new features do not quietly damage what already worked.
Deliverable 04 · Quality assurance & testing
Load and stress tests show how the system behaves with realistic user and data volumes, and where it will need more capacity.
Deliverable 05 · Quality assurance & testing
Sign-in, authorisation, input validation and session handling are tested against common web and mobile weaknesses.
Deliverable 06 · Quality assurance & testing
Web and mobile apps are checked across browsers, screen sizes and operating system versions, in left-to-right and right-to-left layouts.
Need quality assurance & testing for a project that does not fit a template? Tell us the problem and one of our expert engineers will map it to an architecture.
Discovery CallTesting answers one question: does the software do what was agreed, for the people who will use it, in the conditions it will meet?
Answering it properly needs several kinds of test. Functional tests check behaviour. Integration tests check that connected systems exchange the right data. Performance tests check speed and capacity. Security tests look for weaknesses. Usability tests check that real people can finish real tasks.
Quality assurance goes wider than testing.
It includes reviewing requirements for gaps and contradictions before they are built, peer review of code, and agreeing release criteria in advance, so that going live is decided on evidence. The same QA discipline protects the platforms Next Orbit delivers; MeezanX, for instance, serves internal, vendor and client users on live projects, and each configuration change and update we deploy is regression-tested before it reaches them.
Automate the checks that run often and must give the same answer every time: core calculations, API contracts, sign-in, permission rules and the main user journeys.
Once written, those tests run on every change and protect the product for its whole life.
Manual testing stays essential wherever judgement matters: a feature still taking shape, visual quality, how an interaction feels, Arabic copy and layout, and exploratory sessions where an experienced tester tries to break the system in ways nobody scripted.
A sound QA plan uses both and states clearly which is which.
Products that reach beyond a screen need extra methods.
For IoT we test with real devices and simulated fleets, covering lost connectivity, low battery, messages arriving out of order and firmware updates. For integrations we test what happens when the other system is slow, offline or sends unexpected data.
For AI and LLM features we build an evaluation set of representative cases with agreed pass criteria, and rerun it whenever the model, the prompt or the data changes.
Results are reported in plain language, so you can judge whether accuracy is good enough for the intended use.
How we work
5 stages, each with a deliverable you can review and sign off before the next begins.
Revision A · stage 1 of 5
Test strategy, environments, test data and release criteria are agreed together with the scope.
Revision B · stage 2 of 5
Test cases are written from the acceptance criteria and reviewed with the business analyst.
Revision C · stage 3 of 5
Manual and automated tests run in each sprint; defects are logged, prioritised and retested.
Revision D · stage 4 of 5
Regression, performance and security testing finish before a release candidate is approved.
Revision E · stage 5 of 5
We support your team through UAT and issue a test summary for sign-off.
Build board
See how this capability applies across our services, products, innovations, R&D prototypes and AI work. Pick what fits, send it as a brief, and one of our expert engineers replies with the approach and a tailored proposal.
Level Explorer
Tap the quality assurance & testing work you would like from us. Your picks become a brief we reply to.
Where this capability appears in the custom software, AI, IoT and app projects Next Orbit engineers for clients.
How we use it every day on e-trainia, e-tijariX, MeezanX and AuthentiQ, the four platforms Next Orbit delivers: e-trainia, which we own, and three more we implement and support.
What it takes to move computer vision, digital twins, predictive models and climate data from pilot to production.
Short, scoped experiments from our R&D team, so the decision rests on measured results rather than opinion.
Where LLMs and AI agents add real value to this capability, and the controls that keep them accurate and safe.
Your brief 0 ideas
We reply with a tailored proposal: architecture first, then iterative sprints. No off-the-shelf templates.
Tools and standards
Tools are chosen to suit the project, not the other way round. These are the ones we reach for most often; the final selection is made during solution architecture and explained in your tailored proposal.
Questions, answered
Yes. Besides testing everything we build, we test software made by in-house teams or other vendors and report what we find independently.
Yes. Quality control is built into every engagement. Each release passes functional, regression and compatibility checks before it reaches you for acceptance.
Yes. Right-to-left layout, Arabic rendering, numerals, dates and language switching are part of our standard coverage for bilingual products.
Yes. We model the expected traffic, test in an environment that mirrors production and report capacity limits with recommended changes.
A test summary listing what was tested, the results, open defects by severity and a clear recommendation on release readiness.
It is scope-based, driven by the size of the application, the platforms covered and the level of automation wanted. A tailored proposal follows a scope review.
Pick what you need and the right person on our team replies.
Your reference NO-000000-0000
An engineer will reply to you. Quote the reference if you follow up.
What happens next
Share the problem, the systems involved and your timeline. You will hear back from an engineer, not a sales script.