- What to Look for in an AI Testing Tool
- Best AI Testing Tools of 2024
- Final Words
- Frequently Asked Questions (FAQs)
- 1. What makes AI automation testing tools different from traditional testing tools?
- 2. How does AI improve the accuracy of regression testing?
- 3. How do AI test automation tools improve test maintenance and reduce flakiness?
- 4. Do I need programming skills to use AI testing tools?
- 5. What types of testing can AI tools automate?
With product release cycles becoming faster than ever, developers need newer and more innovative ways to test their applications for performance and reliability.
Artificial Intelligence (AI) has emerged as the go-to option for creating and running tests, detecting bugs that manual checks might miss, and streamlining the developer workflow.
No matter what industry you work in, AI testing can help you meet the expectations of a fast-paced market without compromising on product quality or customer satisfaction.
In this blog post, we round up the best AI testing tools to ramp up your software delivery management in 2024.
Let’s get started.
What to Look for in an AI Testing Tool
There are several AI tools for software testing on the market, but not all are made the same. When exploring your options, here are some must-have features to look out for:
1. Scalability
As your application evolves, you want your tests to grow with it. No matter how much code you generate, your AI testing tool should excel at running tests parallelly in multiple production environments without a drop in performance. This flexibility also means you won’t need to switch tools as your project grows, saving time and resources.
2. Accessibility
Your tool should integrate accessibility into your functional and UI testing and evaluate key accessibility aspects such as color contrast, screen reader compatibility, and keyboard navigation. Integrating these checks early ensures compliance with accessibility standards and a smoother user experience for all.
3. Comprehensive coverage
Your ai automation tool should be able to test your application across a wide range of browser, device, and OS combinations to cover as many real-life scenarios as possible.
In addition, it should support testing in different regions to ensure that localized versions of your app function seamlessly. The broader the coverage, the fewer edge cases you’ll miss, leading to a more robust and reliable app.
4. Low-code/no-code options
Accelerate testing by allowing even non-technical team members without coding skills to create, run, and maintain tests. This will help widen the pool of testers and boost overall efficiency.
In the long run, low-code/no-code options can drastically reduce manual testing time and free up your developers for more complex tasks.
5. Continuous Improvement (CI)
One of AI’s biggest advantages is its ability to learn on its own—we’re witnessing this with ChatGPT. Therefore, invest in an AI testing tool that can iteratively improve its test inputs based on lessons learned from past test runs.
It should adapt to new patterns and emerging bugs, ensuring that the more tests it runs, the smarter and more accurate it becomes. This capability also reduces the maintenance overhead of your test suite.
Best AI Testing Tools of 2024
1. TestGrid.io
TestGrid.io offers a cloud-based, end-to-end testing solution that supports web, mobile, and API testing. This allows teams to scale their testing processes without the need for complex infrastructure.
From cross-browser testing and AI-powered codeless testing to visual UI testing, TestGrid.io offers a full gamut of options to ensure your application runs flawlessly at all times.
One of its standout features, though, is CoTester, an AI-powered assistant for software testing that intelligently identifies potential issues in test cases, optimizes test scripts, and reduces maintenance efforts.
Pre-trained on advanced software testing fundamentals and SDLC principles, CoTester understands tools like Selenium, Appium, Cypress, and more.
It integrates into your existing workflows to automate test creation, execution, and reporting while enhancing collaboration between QA and development teams.
Best Features
- Supports native, hybrid, and web applications on 1000+ Android and iOS devices
- Easily records actions, creates test scripts, and automates tests in minutes with its Record & Playback feature
- Delivers powerful visual testing to detect even the slightest visual deviations without adding any external SDK
- Autonomously generates both manual and automated test cases, executing them across real devices and browsers
- Gives option for private dedicated deployment to perform all business-critical tests on TestOS at no extra cost
- Assesses your app’s performance across devices with varying battery life, network conditions, responsiveness, and swipe gestures
- Handles broader project management tasks such as logging bugs, assigning them to team members, taking sprint notes, and even setting task reminders
Pricing
- Freemium: $0 per month (200 minutes per 2 minute session)
- Manual Testing: $25 per month (5 users, 1 parallel test)
- End-to-End Automation: $99 per month (5 users, 1 parallel test)
- Private Dedicated: Starts from $30 per month (5 users, 1 dedicated device)
- Enterprise (On-premise/Hosted): Custom pricing
2. Testim.io
This AI automation testing tool helps your agile team accelerate their app release process with faster and more accurate test building. Testim.io offers AI-based recordings as the fastest way to author your tests and capture even complex actions seamlessly.
Moreover, the auto-grouping feature allows you to quickly identify similar steps while testing and automatically suggest shared groups as replacements.
You get nearly unlimited customization options, with the option to insert JavaScript wherever needed to perform server-side or front-end actions.
Best Features
- Allows dedicated AI testing for businesses powered by Salesforce
- Enables everyone to participate in testing through low-code authoring
- Comes with Proprietary Smart Locators to automatically lock-in elements without human intervention
- Gives access to iOS and Android devices in real usage situations with Tricentis Device Cloud
Pricing
- Testim Web
- Testim Salesforce
- Testim Mobile
- Testim Copilot
Custom pricing is available upon request for all plans.
3. Functionize
Functionize offers a collection of GenAI testing tools to help you test even the most complex apps. As an all-in-one testing platform, it leverages Machine Learning-based tests that use big data to understand site updates and self-heal to keep pace with the app’s evolution, avoiding constant test maintenance.
With Functionize, you can test apps, databases, APIs, .pdf files, Excel sheets, and other digital assets. A cloud infrastructure specially built for AI-powered test automation makes scaling up easy.
Best Features
- Highlights bespoke metrics to give you a deep understanding of your UI performance
- Always keeps track of test self-healing with before and after visuals
- Tests third-party app content with an intuitive API Explorer
- Smart-schedules app tests to prevent overlapping or conflicting times with other commitments or events
Pricing
- Configure your plan to your needs and receive custom pricing accordingly.
4. Mabl
Mabl offers a unified, cloud-based approach to software quality across platforms. It provides seamless support for web and mobile testing and API testing, with the option to import tests from Postman or create your own low-code end-to-end API tests.
As a leading AI-native automation platform, Mabl has been recognized by Gartner and won the AI Breakthrough Award five times. With a host of industry-leading clients, it has helped brands achieve up to 10X faster test runs and an 85% reduction in test maintenance.
Best Features
- Uses natural language to generate JavaScript snippets to handle complex testing scenarios
- Proactively identifies potential flakiness, requesting context to improve test stability
- Enables cloud-powered parallel testing to save time and avoid device overload
- Maximizes developer productivity with powerful CLI and local test execution
Pricing
- Custom pricing is available upon request.
5. Checkie.ai
Checkie.ai covers all your autonomous testing needs for web apps, from functionality and performance to API and accessibility. You can simulate user interactions, generate user feedback, conduct competitive benchmarking, and test for privacy and security. You can also access comprehensive performance analysis to identify even the smallest bugs.
Best Features
- Provides fully autonomous test coverage for web apps
- Ensures accessibility across all major browsers and operating systems
- Delivers test flow results for each case run, including a range of performance and device metrics
- Offers a user-friendly design requiring minimal effort to create and run tests
Pricing
- Core Coverage: $1,777 per year (Basic testing of website in production)
- Pro: $4,777 per year (Serious coverage)
- Enterprise: $19,777 per year (On-premise)
6. Sauce Labs
Sauce Labs is your one-stop shop for web and mobile testing. It offers wide-ranging low-code testing capabilities aimed at QA team members with little to no technical background.
The secure, all-in-one platform enables streamlined Android and iOS app distribution and management, as well as easy cross-browser testing. It also offers support for multiple test automation frameworks, such as Appium, Espresso, Selenium, and Cypress.
Best Features
- Leverages AI-based test automation tools to author, automate and execute test suites with minimal coding required
- Provides real-time visibility to prioritize and address high-impact issues
- Enables easy and secure access through single sign-on
- Integrates seamlessly with CI pipelines
Pricing
- Live testing: $49 per month
- Virtual cloud: $199 per month
- Real device cloud: $249 per month
- Enterprise plans: Contact for custom pricing
7. Tricentis Tosca
This inclusive testing tool features the Tosca Copilot, a GenAI-powered test automation assistant that uses a chat interface to help you find, study, and optimize test assets.
As a context-aware tool, Tricentis Tosca helps you gain unprecedented control of your test library by summarizing complex tests into simple language, enhancing your team’s productivity.
It offers solutions for all digital projects, from modernizing business applications to transitioning to the cloud.
Best Features
- Optimizes your test suite by identifying unused test cases, unlinked assets, and duplicates using Tosca Query Language
- Uses Vision AI to “see” like a human, enabling test automation for previously hard-to-automate apps, such as those on remote desktops
- Delivers actionable execution insights by quickly interpreting test results, enabling faster troubleshooting and shorter release cycles
- Supports DevOps, Agile, and waterfall workflows
Pricing
- Custom pricing is available upon request for all plans.
8. TestCraft
This open-source AI software testing tool offers a comprehensive range of codeless tests to help even your non-technical team members create and run tests.
Leveraging the power of GPT-4, you can create a range of tests across programming languages and automation frameworks on TestCraft.
In addition, the platform’s AI helps you brainstorm new test ideas to cover every possible scenario. You can also create customizable test suites to ensure each app meets the highest quality standards.
Best Features
- Generates automated tests for major automation frameworks and programming languages using AI
- Transforms test ideas into automated tests, streamlining your workflow for maximum efficiency
- Identifies potential accessibility issues and provides actionable suggestions to make your project more inclusive
- Produces innovative test ideas, helping you avoid bottlenecks in the ideation phase and ensuring full-scale test coverage
Pricing
- Free
9. Keysight Eggplant Test
The Keysight Eggplant Test software uses a model-based digital twin-testing approach to maximize coverage, speed up software delivery cycles, and boost QA processes.
Its AI-powered automation interacts with your app like a real user, giving you smart, actionable feedback without needing access to your source code. You can also execute tests to predict run-time behavior under various conditions, enhancing your app’s reliability and usability.
Best Features
- Uses smart computer vision with optical character and image recognition to interact with the app as a real user would
- Provides CI/CD integration adapters for platforms like GitHub, Bamboo, Jenkins, and more
- Enables AI-powered exploratory testing to deliver actionable insights
- Offers scriptless test modeling to reduce maintenance costs
Pricing
- Custom pricing is available upon request for all plans.
10. Perfecto
Perfecto is a highly regarded enterprise test automation platform for mobile applications. Its powerful GenAI helps you create and execute tests in plain language and generate and inject test images for a smooth testing process.
The AI testing tool supports even the most complex use cases, including geolocation testing, network virtualization, biometrics, and more. Its enterprise-grade cloud lets you perform virtual and real device testing with unprecedented continuous testing capabilities.
Best Features
- Automatically detects and addresses test blockers like pop-ups and identifies objects on the page despite layout changes for reliable testing
- Provides rich visualizations with heatmaps and analytics that highlight and prioritize the most critical issues
- Quickly pinpoints and resolves root causes of failures, minimizing time spent on error analysis
- Automatically detects test blocking caused by pop-ups to ensure uninterrupted testing
Pricing
- Starter: Free Trial
- Basic: $83 per month (For teams getting started)
- Pro: $125 per month (For growing businesses)
- Enterprise: Contact for custom pricing (For large organizations)
11. Testsigma
Testsigma’s unified platform makes automated testing easier than ever. It allows your QA team to automate tests in plain English or GenAI.
You can automate your tests across browsers without writing extra scripts, add visual checks with a single click, reduce test maintenance with self-healing tests, and much more.
Plus, in-depth regression testing gives maximum test coverage and can even combine functional/UI and API tests.
Best Features
- Instantly generates automated test cases from multiple inputs, including user stories, Figma designs, screenshots, and test management systems
- Curates API test cases from JSON inputs by understanding the API structure and covering critical scenarios
- Enables low-code test automation by leveraging Salesforce metadata and APIs for easier test creation
- Sends test notifications directly to multiple communication tools like Teams, Slack, and GChat
Pricing
- Pro (For fast-growing teams)
- Enterprise (For high-scale teams)
Custom pricing is available upon request for both plans.
12. aqua ALM
Aqua ALM’s powerful platform lets you manage and run manual and automated tests from a single dedicated QA management tool. Its AI model understands the context and semantics of your testing needs and can help you generate test requirements from speech.
You can combine multiple AI tools for automation testing and check your past test runs for improvements. And with its project management capabilities, your QA team can always stay on top of test planning and prioritization.
Best Features
- Enables controlled project collaboration between internal users, partners, and customers with pre-configured views, rule-based workflows, and granular permissions
- Implements rule-based workflows and pre-configured views for streamlined project management
- Provides a Chrome extension to record quickly and track defects
- Simplifies Agile management with easy-to-use Scrum boards
Pricing
- aqua Cloud
- aqua Enterprise Cloud
Custom pricing is available upon request for both plans.
13. AccelQ
AccelQ focuses on automation for business processes. Its no-code testing capabilities help you cover complex real-world scenarios intuitively and scalable. It also supports your manual testing endeavors with traceability, tracking, and integrations.
Best Features
- Automates all aspects of the quality lifecycle from test design all the way to test planning and execution
- Enables in-sprint automation with industry-first virtualized abstraction for functional testing
- Seamlessly integrates into your ecosystem of tools like Jira, TFS, Jenkins, and Bamboo
- Ensures design-first approach with inbuilt modularity; no need for custom frameworks
Pricing
- Automate Web
- Automate Mobile
- Automate API
- Automate Manual
Custom pricing is available upon request for all plans.
14. TestComplete
TestComplete makes it easy to automate functional UI tests for any application. Whether you opt for real or virtual device testing, keyword tests across multiple browsers, OS, and device combinations help you identify and fix bugs.
The property-based and AI-powered visual recognition helps you identify dynamic UI elements, saving you time and helping you manage objects in a single repository. Ultimately, you get a top-notch UI that looks and functions exactly as you want.
Best Features
- Supports 2050+ browser and platform configurations
- Has a single interface that delivers real-time insights into tests
- Can handle complex scenarios with simple point-and-click actions
- Integrates with a wide range of tools to give you a unified testing lifecycle
Pricing
- TestComplete Based: $3,875
- TestComplete Pro: $6,029
- TestComplete Advanced: Custom pricing
In addition, you can opt for the free 14-day trial plan; Windows OS is required.
15. Sealights
Sealights is an extensive software quality intelligence platform that provides thorough visibility into the quality risks across your delivery pipeline.
Applying AI and ML, SeaLights gives the visibility and metrics you need to deliver software rapidly and without compromising on quality.
Moreover, you can implement a smarter testing practice by choosing and running only the most relevant tests for each build. This will give you a faster feedback loop and reduce testing cycle time by up to 80%.
Best features
- Identifies code coverage across E2E, Regression, Integration, CI, and Manual tests, ensuring no untested code changes reach production
- Tracks quality metrics across every build, sprint, and release for proof of testing and quality control
- Auto-selects and executes only critical tests related to code changes with test impact analytics
- Configures smart promotion or release gates with change-based quality gates
Pricing
- Custom pricing is available upon request.
16. Worksoft Certify
This codeless platform offers top-notch continuous automated testing for your enterprise packaged applications. Your IT team and non-technical contributors can work in parallel to test your processes in real-world scenarios.
Moreover, the test automation framework in Worksoft Certify enables dynamic adaptation to change by using smart object definitions that don’t require you to keep evolving individual test scripts.
Best Features
- Comes with an out-of-the-box interface to help test APIs and leverage virtual services without rebuilding tests
- Shares reusable automation assets to help you build and share automation across projects
- Mitigates risk with impact analysis and scope testing to meet your testing needs
- Integrates with HP ALM, IBM RQM, SAP Solution Manager, JIRA, and ServiceNow
Pricing
- Custom pricing is available upon request.
17. Avo Automation
Avo Automaton is a low-code AI-powered platform that powers effortless end-to-end testing for your CI/CD capabilities.
With Avo Genius, for instance, you can autonomously create tests with a smart scheduler, integrate with all ALM tools, and use pre-built automation for environments like Oracle and SAP.
The Design Studio gives you a bird’s eye view of your whole testing hierarchy, helping you plan and allocate resources better. Plus, you get access to advanced impact analytics and object identifiers that can self-heal, thus keeping pace with your app as it evolves.
Best Features
- Captures all elements on the go while you navigate through your applications with the AI-powered Smart Recorder
- Maintains test cases with Avo Impact Analysis, whether major platform upgrades or minor product releases
- Handles the challenges of delayed or incomplete UI with In-Sprint Automation
- Identifies the code changes accurately and tests just those with Upgrade Analyzer
Pricing
- Starter
- Enterprise
Custom pricing is available upon request for both plans.
18. QA Wolf
QA Wolf is an open-source software testing solution that helps agile teams achieve 80% end-to-end test coverage within four months. Built for speed and scalability, it takes care of both the infrastructure and the actual writing of your tests.
QA Wolf’s “human-in-the-loop” model means AI doesn’t just generate and validate tests in isolation but works with expert engineers, so you’re not left with unsupervised test automation that fails when it’s needed most.
Best features
- Uses Playwright code for the web and Appium for mobile
- Enables parallelization of test runs—whether you’re scaling from 100 to 1,000 tests
- Automates hundreds (sometimes thousands) of tests, ready to run in the QA Wolf cloud on every deployment
- Tests third-party integrations, APIs, extensions, email and SMS deliverability, and audio and video accuracy
Pricing
- Free
19. ProdPerfect
Imagine having a testing tool that genuinely understands your user journeys without any upfront manual effort. ProdPerfect dives into your live traffic data, automatically building and maintaining browser-level application tests.
Instead of guessing which paths your users take most often, it identifies real-world workflows and replicates them in test environments.
But it doesn’t stop at mere simulation—its continuous testing engine means your suite adapts as user behavior changes, giving you high-fidelity insights with minimal manual intervention.
Best Features
- Continuously detects and discovers user journeys through anonymous click data
- Runs on demand to ensure updates don’t disrupt your user’s golden path experience
- Updates and builds a long-term testing system as new features are released, supporting ongoing QA efforts
- Specifies testing patterns to a test environment and stabilizes the scripts
Pricing
- Custom pricing is available upon request.
20. ReTest
ReTest is GUI test automation software that redefines how regression tests are handled. It takes a unique stance on testing.
With its differential testing approach, ReTest creates smart baselines of your applications and flags any unintended visual or functional changes, no matter how minor. You don’t need to script or specify expected outcomes in painstaking detail.
It’s instrumental in agile environments where UI updates are frequent. It allows you to focus on innovation without getting bogged down by repetitive test maintenance.
Best Features
- Creates unbreakable Selenium tests that are easy to set up and efficient to maintain for complete testing coverage
- Focuses on changes while automating the rest, ensuring seamless and efficient AI test automation
- Understands the natural variances in UI elements and focuses only on actual anomalies
- Helps you “spot the difference” in manual regression testing with powerful filters
Pricing
- Custom pricing is available upon request.
Final Words
AI testing is a requirement for most software delivery processes, and you want to invest in the most seamless testing option possible.
Not all AI is created equal, as you can see from the diversity of AI software testing tools we’ve discussed here. Evaluate your options, talk to other customers, take advantage of the free trial wherever you can, and make an informed decision.
And if you want to skip the grunt work, opt for a free trial of TestGrid.io. It has all the functionalities and capabilities that’ll help you launch your software from the ground faster than ever.
Your developers and QA teams will thank you.
Good luck!
Frequently Asked Questions (FAQs)
1. What makes AI automation testing tools different from traditional testing tools?
AI automation testing tools stand out from traditional tools by leveraging AI and ML to automate and enhance the testing process. They adapt to changes in the application, reducing test flakiness and minimizing manual test updates.
These tools can automatically generate test cases based on user behavior, intelligently recognize elements in the UI, and provide self-healing capabilities that traditional tools lack—without constant manual intervention.
2. How does AI improve the accuracy of regression testing?
AI improves regression testing by continuously analyzing live data and identifying critical test paths based on user behavior and historical data.
Tools like TestGrid.io automate the execution of a predefined suite of tests to ensure that new code changes don’t negatively impact existing functionality.
It can check whether the previously working features still perform as expected after updates or changes to the software by running a set of regression tests.
3. How do AI test automation tools improve test maintenance and reduce flakiness?
AI tools apply ML capabilities to identify changes in the application’s user interface and automatically adjust locators and test scripts. This minimizes test failures when minor UI changes are made and eliminates the need for manual script updates.
4. Do I need programming skills to use AI testing tools?
No, many AI testing tools are designed with user-friendly interfaces that allow even non-programmers to use them effectively. They often come with visual workflows, drag-and-drop functionality, and pre-built test cases that minimize the need for coding knowledge.
However, having some programming skills can be beneficial for more advanced features or customization. Based on your team’s technical expertise, it’s always a good idea to assess the tool’s learning curve.
5. What types of testing can AI tools automate?
AI testing tools can automate various types of testing, including regression testing, functional testing, performance testing, and even visual testing. They are particularly effective in automating test case generation, test execution, and identifying application behavior patterns.