What are AI Testing Tools?

AI testing tools, also known as AI-augmented software testing tools, are software tools that use artificial intelligence in order to automate the process of software testing and test automation. This type of tool can help to reduce manual labor, increase accuracy, and identify errors. The automation process helps to create detailed reports about the quality of an application or system. These tools can also compare current versions with previous versions in order to identify any regression bugs. Compare and read user reviews of the best AI Testing Tools currently available using the table below. This list is updated regularly.

  • 1
    WebLOAD

    WebLOAD

    RadView Software

    RadView WebLOAD is a leading enterprise AI-based performance and load testing solution for testing web, mobile, and packaged applications. It supports over 150 protocols and technologies, including all common front-end frameworks, APIs, message queues, and databases, enabling load testing across any enterprise technology stack. RadView WebLOAD.AI, is available as SaaS and can also be self-hosted on-premise or in the cloud. It is highly scalable and can simulate hundreds of thousands of concurrent users from different locations and cloud platforms. With its smart and easy generation of reliable tests and its powerful AI-based analytics capabilities, RadView WebLOAD makes performance teams highly successful in detecting and quickly resolving performance issues even for the most complex environments. This makes RadView WebLOAD the solution of choice for many performance experts. RadView WebLOAD has built-in integration into most of the popular Testing, CI/CD and APM tools.
  • 2
    Eggplant

    Eggplant

    Keysight Technologies

    At Eggplant we empower organizations to create amazing digital experiences. We help businesses to test, monitor and analyze their end-to-end customer experience and continuously improve their business outcomes. Companies worldwide use Eggplant to surpass competitors, boost productivity, and delight customers. How? By dramatically enhancing the quality, responsiveness, and performance of their software applications across different interfaces, platforms, browsers, and devices - including mobile, IoT, and desktop — in agile, DevOps, and innovative application and data environments. As software release cycles accelerate, manual testing can't keep up. AI automatically discovers user journeys, hunts for bugs and performs image-based UI tests from the user POV. Build better software with fast, broad, accurate AI-powered testing. To keep up with DevOps, continuous testing is key, streamlining development and automating the testing process.
  • 3
    PFLB

    PFLB

    PFLB

    PFLB is an AI-powered load testing platform where you can simulate massive traffic to your websites, and applications. It’s easy to use and super helpful for teams that want to ensure their product is ready to scale. Features: Realistic testing with scenario-based traffic simulation. Importing your production load profile with Google Analytics integration. Easy scripting with an intuitive no-code editor. Executing advanced JMeter scenarios at scale. Resolving bottlenecks with AI-powered performance insights. Discovering load testing results with Grafana dashboards. Protocols: HTTP, HTTPS, gRPC, JDBC, JMS, AMQP, MQTT, Kafka.
    Starting Price: $50/month
  • 4
    Telerik Test Studio

    Telerik Test Studio

    Progress Software

    Automated testing has come of age with Progress® Telerik® Test Studio. With the industry's fastest test recorder, its patent-pending mixed element find logic makes tests more stable and reliable while keeping test maintenance to a minimum. Test Studio maximizes test coverage ensuring optimal app quality and addresses QA’s top challenges. Testing is a must to meet the delivery cycles of Agile/CI/CD and keep bugs out of final products, but the demand to quickly deliver digital experiences, additional capabilities and improvements puts pressure all around. Meanwhile, most of the automated testing approaches aren’t designed to support QA testers without much coding experience. Simply record your test and use automated playback for an easy and fast way to craft your test and then run that same script to test multiple browsers. Maintenance is greatly reduced with patent-pending element detection, centralized object repository, intelligent suggestions and multi-mechanism element search.
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