With the rapid adoption of AI agents in developer workflows, organisations face a critical challenge: there is no standard way to test them. 

These agents interact with users and systems in highly dynamic ways, making it difficult to ensure reliability, accuracy, and consistency. Traditional testing methods fall short when the system under test is inherently unpredictable.

LambdaTest’s Agent-to-Agent Testing introduces a first-of-its-kind solution. The platform employs a suite of specialised AI testing agents to rigorously validate chat and voice-based AI agents across multiple dimensions including conversation flows, intent recognition, tone consistency, reasoning ability, and more.

Teams can upload requirement documents in various formats—text, images, audio, or video—and the system automatically performs multi-modal analysis to generate test scenarios that simulate real-world challenges. 

Each scenario comes with precise validation criteria and expected responses, executed within HyperExecute, LambdaTest’s next-gen test orchestration cloud that delivers up to 70% faster execution compared to traditional automation grids.

The platform also tracks key quality metrics such as bias, completeness, and hallucinations, giving teams deeper insights into the performance of their AI agents. By leveraging a multi-agent approach with multiple large language models (LLMs), LambdaTest ensures broader, more diverse, and more accurate test coverage than single-agent testing systems.

“Every AI agent you deploy is unique, and that’s both its greatest strength and its biggest risk,” said Asad Khan, CEO and co-founder at LambdaTest. “Our Agent-to-Agent Testing platform thinks like a real user, generating context-aware test scenarios that mirror real-world challenges. Each test includes clear validation checkpoints and the responses we’d expect to see.”

Enterprises adopting Agent-to-Agent Testing can expect faster test creation, reduced testing cycles, and up to a 10x increase in test coverage. By automating much of the QA process, organisations can cut costs while improving test depth and reliability.

With 15 purpose-built AI testing agents, ranging from security researchers to compliance validators, LambdaTest’s Agent-to-Agent Testing enables teams to ship AI-powered applications with confidence, ensuring they are robust, safe, and enterprise-ready.

With participation from Qualcomm Ventures, this funding brings LambdaTest’s total funding to $108 million.

The investment will accelerate the company’s mission to enhance quality engineering through innovation, and redefine industry standards for web and mobile software quality through its groundbreaking innovation, KaneAI – “AI Native QA Agent-as-a-Service” platform.

With 15,000+ customers including Fortune 500 and G2000 companies, LambdaTest has already established itself as a leader in the QA space. 

Its latest innovations include KaneAI, an AI-driven QA automation Agent-as-a-Service, and AI native HyperExecute platform, which enables companies to test their digital assets with speed, precision, and scalability. 

HyperExecute, LambdaTest’s AI Native unified test execution and orchestration cloud, enables teams to run tests upto 70% faster than any cloud grid by running tests intelligently across multiple environments, enabling 2.5x faster test resolution and 60% quicker error detection. 

The latest platform, KaneAI, can help reduce manual efforts in test script generation, reducing it by 40-70%.

These GenAI-powered innovations address a pressing need for streamlined and efficient QA processes, as software development lifecycles become faster, more rigorous, and increasingly complex. 

With a YoY growth of about 105%, LambdaTest has 2.3 million+ developers and testers worldwide, who rely on it to test intelligently, accelerate releases, and ship quality software with confidence and have executed more than 1.2 billion tests till date.

 “KaneAI is more than a tool—it’s a transformative approach to QA, empowering teams to test smarter and faster, with less manual effort,” said Asad Khan, CEO and co-founder of LambdaTest. 

“Our foundation in LambdaTest’s cloud-based platform gives us an edge in delivering this solution at scale, and we’re thrilled to have the support of Avataar Ventures and Qualcomm Ventures as we reshape the future of QA.”

 “Asad & team are a force of nature to be reckoned with — in a short period of time they have disrupted the entire market. From creating the first AI-native, no-code QA solution (KaneAI) to launching the only truly e2e Enterprise grade, secure test orchestration platform (HyperExecute), they have totally changed the game & pulled the rug out from under existing CBT vendors. 

“In a world where literally every industry & company is going through digital transformation, LambdaTest now becomes a must-have solution that delivers the best customer experience & accelerated time to market while also meaningfully cutting costs,” said Nishant Rao, founding partner at Avataar. 

“We’ve been inspired to see the high quality of their growth & are super bullish for the future. Avataar’s unique #OperatingVC model will help ensure they have active support at every stage of the journey to translate their first mover advantage into becoming the global market leader (but this time Built in India for the World)!” he added.

“As AI applications on the cloud and on devices become more prevalent, continuous testing with AI-driven automation is essential for accelerating release cycles and improving CI/CD pipeline efficiency,” said Quinn Li, senior vice president, Qualcomm Technologies, Inc. and Global Head of Qualcomm Ventures. 

“LambdaTest’s comprehensive product suite is transforming software quality assurance with AI-driven autonomous testing systems. We are excited to support their journey.”

This investment by Avataar Ventures and Qualcomm Ventures stresses the prospects of AI-driven tools in the QA market. 

With companies continually adopting cloud solutions to simplify their testing processes, LambdaTest’s comprehensive approach puts it at the forefront of QA innovation.

Founded in 2017, LambdaTest has raised nearly $70 million from top investors in previous funding rounds, including Premji Invest, Sequoia Capital India, Titanium Ventures, Leo Capital Holdings, and Blume Ventures.

KaneAI comes with an innovative approach to creating, debugging, and evolving end-to-end tests using natural language, promising to enhance how teams manage and execute automated testing.

Automation testing is an important aspect of software development, but it often encounters limitations. Traditional test automation tools are frequently unable to keep up with rapid development cycles, leading to fragile tests that require constant maintenance. 

Even low-code/no-code solutions can falter at scale, leading to challenges in meeting the growing demands of modern testing.

KaneAI by LambdaTest is the first AI Test Assistant of its kind, featuring innovative capabilities like AI-driven test authoring, management, and debugging. Specifically designed for high-velocity Quality Engineering teams, KaneAI allows users to create and refine complex test cases using natural language. 

This drastically reduces the time and expertise needed to implement test automation, making it accessible for various team members to contribute to the testing process.

Combined with built-in features like intelligent test planning, AI-powered test healing, and advanced conditional assertions, KaneAI supports complex workflows and ensures comprehensive test coverage.

Unlike traditional low-code/no-code solutions that hit scalability limits, KaneAI provides 2-way test editing features that enable users to either author in code or Natural Language. 

In addition, it allows multi-language code export across all major frameworks along with unique Instruction-to-Code and Code-to-Instruction translation features. This enables effortless maintenance of scale tests and ensures that even the most intricate testing needs are met.

KaneAI also revolutionises the debugging process with its AI-powered test observability and real-time RCA (Root Cause Analysis) capabilities. This helps large-scale distributed engineering teams minimise application downtime and accelerate release cycles, without compromising on the product quality.

Further KaneAI integrates seamlessly with existing workflows, supporting popular tools such as Jira, Slack, GitHub Actions, and Microsoft Teams, making it an invaluable addition to any testing toolkit.

“Over the past 6 years, we have listened to feedback from the users on how to solve their testing challenges. KaneAI is the result of our team’s innovative approach to address that. The engineering and product team has spent over a year building this revolutionising product and pushing the boundaries of what is possible in quality engineering. 

They ensured that every aspect of KaneAI could meet the real-world challenges that testing teams face daily. This journey was about developing an AI-powered test agent and reimagining what test automation could be,” said Asad Khan, co-founder and CEO at LambdaTest.

“KaneAI exemplifies LambdaTest’s unwavering commitment to revolutionising quality engineering. Having led technology firms for two decades, I have seen software development teams struggling to keep up with the fast pace of change and remain agile as they deliver top-tier products. KaneAI is a game-changer and addresses large-scale challenges for quality engineering teams. 

Through this product, LambdaTest disrupts the legacy testing ecosystem. NLP-based test authoring fundamentally breaks through the traditional testing workflows and empowers product managers, Developers and testers to seamlessly integrate continuous testing into the DevOps workflows,” Sandeep Johri, CEO of Checkmarx stated.

With the introduction of KaneAI, LambdaTest has established itself as a comprehensive solution for all end-to-end software quality engineering needs. From test planning, authoring, execution, analysis and reporting, LambdaTest now covers all functions along with its core capabilities of providing cloud environments for test execution on real devices and browsers. 

Additionally, AI-powered test intelligence provides valuable insights, ensuring a robust and integrated approach to quality assurance.

KaneAI’s private beta is currently available. Quality engineering teams interested in staying ahead of the curve can sign up for early access at KaneAI.