AI-Based Test Generation
Traditional QA struggles to keep up with rapid releases, leading to missed bugs, repetitive test writing, and wasted hours. Our AI-based test generation service automates test creation using intelligent models—boosting test accuracy, reducing manual effort, and accelerating software testing for faster, defect-free releases and stronger user confidence.
Tools We Use For Testing
How We Deliver AI-Based Test Generation
Make the most of TestUnity’s software testing services to provide an impeccable experience to your users
Why Choose Us for AI-Based Test Generation
- AI-driven test coverage with human oversight for high accuracy and reliability
- Auto-generated test cases from user stories, logs, and functional flows
- Seamless integration with Selenium, Cypress, Jira, TestRail, and CI/CD tools
- Continuous test suite updates aligned with agile sprints and feature changes.
- End-to-end support—from test creation to validation, triage, and optimization
Our Case Studies
Functional Testing of Little Millennium Web App
Little Millennium is a renowned preschool that ignites young minds with boundless curiosity and a passion for learning. With a legacy of excellence in early education, Little Millennium offers a holistic approach that integrates the best of play-based learning, creativity, and academic readiness. Their dedicated team of educators is committed to providing personalized attention to […]
Functional Testing
Functional Testing of Physica(ComXr) Application
ComXR is a technology company that creates memorable experiences for your audience by leveraging virtual reality (VR). We specialize in high-end VR, one that allows your users to physically walk through and naturally interact with a truly lifelike, fully 3D environment. With a focus on quality, creativity, and technical expertise, we deliver customized solutions that […]
Security Testing
Security Testing of Bloom AI Application
Bloom AI is on a mission to operationalize data to fuel business ingenuity in the digital economy. As business-data partners, we turn complex, siloed data into simple, digestible insights using our proprietary microinsights platform and headless business intelligence solutions. As companies scale their modern data infrastructure, Bloom AI helps users take the next step by […]
Functional Testing
Functional Testing of Travel Tech Website
Travel Tech is a completely virtual and free event, which offers tourism trade professionals (tourism, destinations, travels, and hospitality) educational resources and actionable strategies that will help them move toward recovery and improve profitability more quickly. In this case, the problem was that client was not sure from where to start, how to start, what […]
Automation Testing
Regression Testing of Contestee Platform
In English, “Contestee” refers to someone competing in a contest. Contestee is a social network that promotes global talent discovery through competitions. Using Contestee, anyone can showcase their amazing talents, skills, and attributes. Become famous by uploading your videos, collecting votes, and collecting likes! TestUnity began working on Contestee in November 2019. An Android and […]
Security Testing
Security Testing of NFT Platform
NgageN is an exclusive platform enabling NFT economies between Brands & Creators. Created byone of the leading Blockchain companies in India, NgageN is an invitation-only platform for credibleBrands & Creators to drive new forms of fan engagement, sources of revenue & community buildingby creating NFTs which provide exclusive digital assets as well as experiences. In […]
Frequently Asked Questions
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What is AI-based test generation, and how does it work?
AI-based test generation uses machine learning and natural language processing (NLP) to automatically create test cases. It interprets user stories, UI logs, or functional specs to generate accurate, reusable test scripts—covering positive, negative, and edge scenarios in a fraction of the time manual methods require.
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How much manual effort can this eliminate?
In most cases, up to 70–80% of test authoring effort is eliminated. Our models learn from your flows and create detailed scripts instantly—freeing QA teams to focus on exploratory testing, business logic validation, and continuous test improvement
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How accurate are these AI-generated test cases?
Each test is generated based on actual workflows and validated against expected outcomes. We also layer human QA oversight to eliminate false positives and ensure accuracy over multiple sprints—giving you consistent, reliable test coverage across versions.
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Is AI-based test generation suitable for agile teams?
Yes. It’s built for agility. As stories evolve sprint to sprint, AI instantly regenerates relevant test cases—supporting rapid releases, continuous testing, and regression automation without waiting on manual test teams to catch up.
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Can we integrate this into our current QA and dev setup?
Absolutely. Our service supports integration with all major testing tools (e.g., Selenium, Cypress), ALM platforms, and CI/CD pipelines—ensuring smooth adoption without replacing your current processes or infrastructure.
Latest QA Blogs
CI/CD Testing: A Step‑by‑Step Guide to Integrating Testing into Your Pipeline
In modern software development, continuous integration and continuous delivery (CI/CD) have become table stakes. But a CI/CD pipeline is only as reliable as the tests that run inside it. Without a thoughtful CI/CD testing strategy, you risk shipping broken code quickly instead of shipping good code quickly. CI/CD testing—the practice of running automated tests as part of […]
Shifting Left: A Practical Guide to Early Testing in the SDLC
For decades, software testing was a late-stage activity. Teams would spend weeks developing features, then toss the build over the wall to a QA team who would discover a flood of defects just before release. The result: frantic fire drills, delayed launches, and a reputation that testing was the bottleneck. That model is no longer […]
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