AI systems are continuously learning and evolving. Therefore, we continually manage and test them while also focusing on a myriad of different challenges.
Delivering software quickly and efficiently is a major goal for agile teams, but this often presents a challenge for the QA team. With limited time for testing, it’s important to prioritize and focus on verifying the software against the most critical business requirements.
When software scripts are challenging to maintain, it can create issues with every new release cycle. Even small modifications to the user interface or backend can cause the tests to fail, resulting in a time-consuming and arduous process to fix them.
There is an overhead of multiple tools & multiple frameworks, the need for a robust tool that can automate redundant tasks, support continuous testing and continuous release is rising.
With the help of AI Testing Services, KiwiQA enables you to focus more on innovation by testing through more advanced technologies to make the tasks easier.
Through our AI-powered test technology we are able to do holistic test planning that’s automated wherever necessary. Our tool automatically adapts to application changes and self-heal testing to make sure that the process does not fail and tasks do not become mundane due to its script-less nature. Intelligent script maintenance engine recommends script changes no matter how frequently other changes occur.
With pre-built automated test suites, we help you save time and cost by avoiding manual testing of the same functionality over and over again.
Our automated tests are used by developers to identify problems before sending them to the QA team. Such tests are run automatically when the source code changes and the teams are notified of the status.
Our AI testing services encompass a wide spectrum of services that ensure end-to-end test coverage through contemporary tools.
KiwiQA banks on the opportunity of AI-powered test automation. It lifts modern test automation platforms to the next level in terms of efficiency, and cost-effectiveness.
We believe in simplifying and optimizing the testing process for our clients. Our expert team ensures that test scripts are concise, intuitive and easy to maintain. With our advanced testing tools, even the most complex bugs can be easily detected, ensuring that your software runs seamlessly and delivers the best possible user experience.
Usability testing measures the usability or ease of use of a device. We take a user-centered approach to testing software by embracing AI.
We avoid any lag in application testing which may happen due to minor data adjustment can have an adverse impact on the organization’s reputation.
AI-powered Regression testing tools allow you to check that your software still works as expected after you push new code with increased ease.
We take over this daunting task of security testing from you and counter challenges when they come our way through penetration testing, risk assessment, SQL testing and so on.
Every project adds a feather to our cap, and through 15 years of serving our clients we are able to emerge as one of the industry leaders.
Having dedicated testing labs allows us for a faster turnaround time, flexibility in operations and high-quality solutions.
KiwiQA is a hub of testing experts, guiding and shaping the future specialists. Our experts introduce next-generation AI technology to keep up with the world.
All wearable devices or gadgets have a multitude of features in their tiny space. And it is necessary to ensure that each component works as intended.
Gone are the times when AI was considered a trend. The reality is, AI is finding its place across industries, including QA and software testing. AI testing companies like KiwiQA are capitalizing on the range of benefits with the usage of AI. Let’s take a look at the approach we take as an AI testing company-
The evaluation phase comprises checking the centralized testing platform, assessment of tool capabilities to be used, and curating process improvement plans along with the recommendation.
We set up the infrastructure and begin with the project-specific training of the QA team. In this phase, the tools are deployment-ready and automation part comes into the picture.
This phase checks if your software works well with the new code. With a fine CI/CD pipeline, we streamline the software development life cycle for higher-quality software with faster delivery.
This phase is driven based on the output from customized reports and dashboard. Here, automating the CI/CD speeds up the release velocity, and this is done right with the help of AI-powered tools.
KiwiQA being an AI Testing Services Company, becomes your partner in curating strategies that help deliver noteworthy outcomes, whether tangible or intangible. Below is what we have been able to achieve with our services -
AI reduces the time spend in redundant activities and lets you focus on more important aspects of testing, thereby enabling you to identify problems early.
KiwiQA helps you optimize the overall cost of testing by letting you save in different processes. With us, you spend less time in testing activities and avoid reworks.
We ensure verifying software systems, sub-systems, and all components, leaving no room for error while focusing on the risk weight of the requirements tested.
Through our QA and testing efforts, we perform comparative testing and evaluate programs to deliver high-quality, well-operating software and web applications.
KiwiQA ensures testing resources like tools within your software stack are being used optimally, which is a key performance indicator of the software performance.
Like a reliable testing consultant, KiwiQA helps reduce maintenance and support costs by addressing multiple aspects, like reduction in cost of fixing bugs and eliminating reworks.
We're backed by extensive experience of some reputed organizations who help us deliver excellent customer service and grow by leaps and bounds.
Take a glance at some of the organizations whom we have helped with successful product launches through our QA services and eliminating issues in coding.
Let’s talkHere are some case studies for you to learn more about how we take challenges head-on and deliver great results to our clients.
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MoreSome of the best practices for implementing the potential of AI testing include:
An AI application should be tested to determine the level of functionality and various system levels.
The three major challenges of testing the AI software include:
AI testing improves the quality of software by introducing higher accuracy in reports and profound speed. AI helps in detecting the bugs faster than usual and allows them enough time to curate better testing methods, write more functional scripts and enhance the experience of end-users. The turnaround time will be lesser for the software with AI testing implementations!
AI testing is important as professionals use it to detect the common flaws in the code, which might hinder the flawless functioning of the system. When you understand what your client needs through AI, it will be easier to make test cases and ensure that the product won’t collapse in the quest to achieve the goals.
Traditional software testing is a very direct method of approach, where you find the problem and fix it. But with AI & ML implementation, the entire game of software testing is pretty much different. When using AI for software testing, no individual scenarios are considered. Instead, many new cases are pushed through the engine to determine the right outcome.