Qyrus Named a Leader in The Forrester Wave™: Autonomous Testing Platforms, Q4 2025 – Read More

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Forrester The Autonomous Testing Landscape, Q3 2025

Qyrus, a leading AI-powered test automation platform, has been recognized in the latest Forrester report, “The Autonomous Testing Platforms Landscape, Q3 2025”. 

Autonomous Testing Platforms (ATPs) leverage AI-driven test automation to accelerate time to value, mitigate strategic risk, enhance governance quality, and promote democratized testing and cross-team collaboration. The report emphasizes that organizations must choose from a diverse range of vendors to realize these advantages. 

 

Forrester defines ATPs as “Platforms that combine traditional automation with AI and genAI agents to continuously perform increasingly autonomous testing tasks”. These platforms are capable of generating and executing a broad spectrum of functional and nonfunctional end-to-end tests across various products and applications, including those infused with AI, ensuring comprehensive and adaptive quality validation. 

 
At Qyrus, we proactively embrace critical industry trends like AI and GenAI to best serve our customers. Our inclusion in Forrester’s “The Autonomous Testing Platforms Landscape, Q3 2025” reflects our commitment to leveraging cutting-edge technology for customer success and satisfaction, particularly as the market evolves towards increasingly autonomous and intelligent testing solutions. 

 

At Qyrus, our suite of AI agents, including TestPilot, TestGenerator, TestGenerator+, Rover, Eval, API Builder, Echo, and Healer, are designed to transform the testing lifecycle. These agents automate critical tasks such as test creation, exploration, data generation, and self-healing, directly from URLs, application screens, or even JIRA tickets. This empowers teams to achieve greater efficiency and ensure superior software quality through intelligent, autonomous testing. 

Explore This Research To: 

Forrester, The Autonomous Testing Platforms Landscape, Q3 2025, Diego Lo Giudice with Chris Gardner, Angela Lozada, Kara Hartig, July 25, 2025. 

Gartner report features Qyrus

Qyrus, a leading AI-powered test automation platform has been featured in Gartner’s latest report on the impact of Generative AI (GenAI) on the Software Delivery Life Cycle (SDLC).  

GenAI is rapidly changing how software is built, tested, and delivered. The new-gen technology offers significant quality-of-life improvements for developers, with Gartner clients reporting productivity gains of around 10-15%. The real value lies in enhancing the developer experience and tackling specific SDLC bottlenecks.  

This Gartner report, “How Generative AI Impacts the Software Delivery Life Cycle” (April 4, 2025), provides crucial insights into leveraging GenAI effectively while navigating its challenges.  

At Qyrus, we proactively embrace critical industry trends like GenAI to best serve our customers. Our inclusion as an example vendor in Gartner’s research on AI-augmented testing reflects our commitment to leveraging cutting-edge technology for customer success and satisfaction. 

Explore this research to: 

Gartner, How Generative AI Impacts the Software Delivery Life Cycle, Matt Brasier, 4 April 2025.  

Making informed investment decisions is critical for business success. But how can you truly understand the impact of a new solution without trying it?Look no further than The Total Economic Impact™ of Qyrus.

“There were a lot of test platforms out there that do mobile or web or API testing. The beauty of Qyrus is that you can build a scenario and string add-in components of all three to create an end-to-end scenario. That is what we found to be most impressive in Qyrus.” – CTO, A Digital Bank Headquartered in the UK.

This independent Forrester research provides a comprehensive analysis of the potential return on investment (ROI) you can achieve with Qyrus. The Forrester TEI report leverages real-world customer data and Forrester’s proven methodology to uncover the following:

The Forrester TEI report for Qyrus delves deeper into specific benefits you can expect, including:

How can Qyrus benefit you?

Ready to unlock Qyrus’ true potential? Download your free copy of the Forrester TEI report and discover the quantifiable impact it can have on your business. Simply fill out the form below and get immediate access to this valuable resource.

Don’t wait! See how Qyrus can transform your business with the insights from the Forrester TEI report.

 

The rise in prominence of AI chatbots over traditional rule-based types is at an all-time high. For example, contact centers will save agent labor costs of $80 Billion using conversational AI by 2026. Similar usage trends are evident in other business verticals as well.

Conversational AI-based chatbots rely on machine learning and natural language processing to deliver optimal interactions. End-to-end technology enablement helps these bots overcome the flexibility limitations of other chatbot types.

Despite the all-pervasive power of AI, certain issues raise the need for checks and balances. For example, recently, generative AI has been mired in issues like accuracy, bias, and privacy concerns. And corporate AI chatbots can have no room for errors or ‘hallucination.’

Highly efficient automated testing of corporate AI chatbots must be an essential part of the development cycle. Our eBook will help you understand how to get the best results from AI chatbots using end-to-end technology for intent and entity testing.

Join us as we unravel different chatbot types, components, testing, and challenges. As part of this journey, you will understand the importance of terms like utterance, intent, and entity in AI chatbot technology. We have also thrown in use cases to demonstrate how you can test an AI chatbot’s intent and entity detection capability.

This eBook includes ways to leverage AI for testing with Qyrus’ Sage platform. Sage’s seamless integration with bot-building platforms simplifies chatbot testing and reduces turnaround times. Its intuitive interface, detailed insights, and loop closure mechanisms enable single-click AI model training options for developers.

Download this eBook to understand how you can:

Software testing myths are common in many teams. For example, your key stakeholders might feel that software testing is an unnecessary, time-intensive expense. Or your peers may think that tests are required only at the end of the SDLC.

API testing is a case in point. Our recent survey indicates that 78% of businesses consider API testing to be a highly complex process. Such testing myths negatively impact project outcomes and the resultant ROI. The prevalence of such can be a setback for the entire software testing lifecycle. In this e-book, we examine actual software testing facts to dispel such concerns.

Advances like codeless automated testing eliminate the complexities and resource-intensive nature of legacy software testing models. It is possible to reduce test execution times by 40% using the Qyrus codeless test automation platform.

Our e-book presents a detailed overview of the myths and facts of software testing. It also offers takeaways to:

Did you know that more than 50% of development efforts across organizations are taken up by APIs? Source

The API testing market will be worth USD 1.56 billion in 2022, and exhibit a CAGR of 18.97 per cent between 2023 and 2032. Source

While there is no doubt that API investments remain strong, and the API testing market is growing rapidly, API testing might not be a top priority for organizations as they cannot address its complexities.

Their API testing strategy is unable to shift left, which leaves APIs just short of becoming a strategic asset. Organizations must move to an automated API testing approach to accelerate the API testing process and ensure various stakeholders can identify bugs early on in the development cycle.

In this e-book, we discuss the various API testing challenges that stop an organization from moving to shift left testing and how an automated approach to API testing helps address these challenges.

This e-book also covers:

  1. The Importance of the Shift Left Approach to Testing
  2. Testing Complexities that Act as a Barrier to the Approach
  3. Addressing Complexities with Automated API Testing
  4. How Qyrus Supports API Testing Efforts?
  5. Tangible Results from Qyrus

A Gartner study has mentioned that by 2024, 75% of large enterprises will use AI-enabled test automation tools for continuous testing. Also, 80% of the participants intend to increase the number of AI-based trials and proofs of concept, as per the World Quality Report survey.  Such reports on industry trends indicate that AI-based automated testing is on the rise and on track for more than just a passing grade.

We at Qyrus believe that an AI-led quality assurance testing solution should be based on an approach guided by a continuous cycle of Discover >Understand > Predict > Respond.

Read this e-book to know:

Businesses that deliver and maintain high-quality outcomes for customers over a sustained period are the ones that tend to rule the roost. And to that effect, enterprise CIOs—from technology startups to multinational companies are going all out to include high-performance, feature-rich, and secure software systems in their tech stack. But achieving this hyper-performance, hyper-quality vision is easier said than done.

Even organizations that have streamlined software and application development processes expect their development teams to improve the testing speed for faster time-to-market. In this conflicting environment, CIOs increasingly look for quality assurance processes for testing automation that helps them address end-user expectations more effectively and stay responsive to testing standards changes.

Download this whitepaper to know:

Did you know that 68% of developers expect to rely more on APIs this year, than they did last year? In an age when more organizations than ever depend on APIs to drive revenue, are seeking to capitalize on the API economy, and are adopting micro services, it’s critical to modernize API testing with automation.

Download Re-imagining API Testing: The Path to the Future. ‍

Discover how to overcome the barriers associated with API testing and create dependable, high-performing, and secure APIs, quickly and cost-effectively. Get the speed, security, cost efficiency, quality, and test coverage your business needs to accelerate software delivery—and ramp up digital transformation and enhance customer experience.

Did you know that 68% of developers expect to rely more on APIs this year, than they did last year? In an age when more organizations than ever depend on APIs to drive revenue, are seeking to capitalize on the API economy, and are adopting micro services, it’s critical to modernize API testing with automation.

Download Re-imagining API Testing: The Path to the Future. ‍

Discover how to overcome the barriers associated with API testing and create dependable, high-performing, and secure APIs, quickly and cost-effectively. Get the speed, security, cost efficiency, quality, and test coverage your business needs to accelerate software delivery—and ramp up digital transformation and enhance customer experience.