Our AI Based Testing Services
Experience next-level software quality with Quinnox’s IQ services powered by Shift SMART framework that boost speed, accuracy, and reliability.
AI Testing Services
Enhance test accuracy, accelerate release cycles, and reduce costs with our AI-driven testing solutions designed for scalable quality assurance.
Next-Gen AI-Driven Testing for Rapid, Reliable Releases
Modern software development cycles heavily depend on agility, with organizations striving for continuous releases and rapid iterations. Delays in testing can disrupt product launch schedules, resulting in missed opportunities, revenue losses, and decreased market competitiveness. This is where Shift SMART with Intelligent Quality (IQ), a next-generation, AI-driven testing framework meets the demand of modern software delivery leveraging artificial intelligence, intelligent automation, and continuous testing. By embedding emerging technologies into every phase of Software Development Lifecycle (SDLC), Shift SMART enables faster execution, higher reliability, and significantly lower testing costs—without compromising quality. Further our AI-powered test automation platform Qyrus uses a suite of intelligent agents, GenAI/AI-models, orchestration frameworks, and no-code/low-code automation to make testing more autonomous, adaptive, and efficient.
Our AI-powered test automation uses LLM, AI Agents and Agentic AI to make software testing smarter, faster, and self-adapting, compared to traditional rule-based automation. It understands application changes (UI, API and flows), self-heal tests (locator and Object changes) , generate tests Automatically from business requirement, design and User Behaviour, optimise test Execution by prioritising critical and high-risk Areas.Â
Test scripts automatically correct the locator and flows when the application changes, fixing issues before they cause failures. This keeps your automation stable and reduces the time spent on test maintenance.
Using historical data and AI models, we predict vulnerable areas where defects are most likely to appear, helping teams to prioritise and focus testing on critical and high-risk areas. This early warning system prevents bugs from reaching production saving cost.
AI helps in identifying regression suites based on criteria (RCRCRC) Risky, Critical, Recent, Core feature, Repeated and Configurable test case and prioritizes regression with tight schedule. This keeps releases fast without compromising quality.
AI-powered agents independently explore your application like an end user and help in finding latent issues and edge cases which traditional test methods might miss. This approach uncovers new risks with minimal manual testing.
Our AI integrates into your CI/CD pipelines to automatically scan code and trigger test suites with every code commit. This ensures quick feedback and better quality without slowing down delivery.
We simulate real-world user behaviour using AI to predict how application performs under various loads. This helps to identify bottlenecks early and ensures smooth user experiences during peak demand.
Business Outcomes You Can Expect
Why Quinnox?
Our proprietary intelligence models evolve with your applications, delivering smarter, faster, and more reliable testing outcomes.
1. Quality Starts at the Source
We embed testing from day one—right at the requirements stage—using automation and AI to prevent defects before code is even written.
2. Smart Automation Built into DevOps
Every test gate, script, and scan is seamlessly integrated into your CI/CD pipeline, enabling continuous testing with zero manual intervention.
3. Code-Aware Testing with AI Agents
AI-driven agents auto-generate and execute unit tests, enabling teams to detect logic flaws and regressions early in the build process.
4. Model-Based Testing for Maximum Coverage
By leveraging domain-specific models and smart test generation, we ensure extensive functional and non-functional coverage with fewer test gaps.
5. Auto-Healing Scripts That Just Work
Our test scripts adapt to changes in real-time, reducing test maintenance and keeping your automation framework always ready for release.
6. Low-Code Testing to Speed up Delivery
We leverage a low-code/no-code platform to generate test cases from user stories or code, accelerating QA cycles with adequate coverage.
7. Agentic AI at Every Stage
From test creation to root cause analysis, intelligent bots and learning systems speed up the cycle, improve accuracy, and lower manual load.
8. Built-In Risk Detection and Prediction
Our AI platforms don’t just react—they predict. We identify likely defect zones using historical trends, preventing future failures before they occur.
9. Environment-Ready Testing with Service Virtualization
We enable early testing by simulating complex environments and generating synthetic test data—eliminating delay for unavailable systems.
10. Full Stack Testers with AI Expertise
Our teams bring domain knowledge, automation experience, and hands-on AI skills, delivering quality that fits your industry and your goals.
Our AI Testing Approach: Intelligence-Led Quality
We bring structure to innovation by aligning AI with your real-world business needs.
We begin by assessing your QA maturity, existing tools, and workflows to uncover inefficiencies, coverage gaps, and automation blind spots. Based on these insights, we pinpoint opportunities where AI can deliver both immediate improvements and long-term value.
We seamlessly integrate our testing framework into your Agile, DevOps, or hybrid delivery models- aligning with your cadence, release cycles, and technology stack.
With AI-driven models, we focus automation where it delivers the most Impact - spanning from test case generation to prioritization, defect triage and predictive analytics.
Each build and cycle feeds back into the system, refining test scripts, adapting to UI/code changes, and continuously improving defect prediction models.
Our AI testing framework leverages real-time validation, self-healing test scripts, and smart prioritization to speed-up delivery while ensuring uncompromised quality and reliability.
Case Studies
Our client stories highlight how our software testing solutions have improved the quality of products and services. See how we have collaborated with our clients to make a significant difference with our automated testing solutions.
Testing
Quinnox’s testing strategy ensures significant reduction in application downtime
Our customer had multiple applications (approximately 25) to support their business.
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QTAF
Software provider benefits from 1,200 test cases in just five months using the Quinnox Testing Automation Framework (QTAF)
As their trusted technology partner, Quinnox provided a bundled solution that included the QTAF (web framework – Windows, Chrome, and IE), a skilled and expert team, and training services and resources for a US-based Electronic Medical Records Management software provider company.
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QYRUS
This is how a F&B global leader achieved 90% coverage across test scenarios with Qyrus
Qyrus' codeless web and mobile testing has propelled this global leader towards remarkable enhancements in Application Quality, Speed to Market, and Consumer Satisfaction
Read moreRelated Insights
White Paper
Testing
An In-depth Look at Shift Left Testing: Enhancing Quality Assurance with Open Data Core (ODC) Meta Connector and Qyrus
In today’s rapidly changing world, enterprises have to improve businesses by keeping up pace with technological advancements and improve operational efficiencies across value chains.
Read more
White Paper
Testing
How Quinnox’s Holistic Solutions Can Help Overcome Application Testing Challenges and Drive Success
In today’s rapidly changing world, enterprises have to improve businesses by keeping up pace with technological advancements and improve operational efficiencies across value chains.
Read more
Webinar
Webinar
Are TuringBots Up for the AI Autonomous Testing Challenge?
In an increasingly AI-driven world, business and technology leaders cannot afford to overlook the impact of AI on the enterprise. And for software development teams, the time is now to understand how AI is shaping the industry.
Read moreFrequently Asked Questions (FAQs)
AI-powered testing uses artificial intelligence to automate, optimize, and enhance the software testing process. It helps detect defects earlier, generates smarter test cases, and adapts to changes automatically, improving speed and accuracy.
While automation handles repetitive tasks and improves speed and accuracy, IQ also enables testing teams to focus on high-level decision-making. This indicates a balance, where automation complements but does not fully replace manual testing.
Virtually any application can benefit—especially complex, large-scale, or frequently changing systems like web application, mobile platforms, enterprise software, and cloud-native solutions. AI testing excels where speed, accuracy, and adaptability are critical.
Yes. AI-powered self-healing test scripts automatically detect, and fix issues caused by application changes, drastically reducing the need for manual maintenance and keeping your automation reliable.
Organizations typically see faster test cycles, higher defect detection rates, and reduced manual effort. This translates into up to 50% savings in quality costs and significant acceleration of time-to-market.
There are many tools incorporating AI, including test automation platforms with self-healing capabilities, predictive analytics engines, AI-based test case generators, and intelligent defect analysis systems. Quinnox leverages a mix of proprietary and best-in-class solutions tailored to your needs.
Related Services
We help you with more than the best software testing services. Here are our other related offerings.
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