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The Founder is thrilled to interview Jay Singh, Co-Founder and Chief Customer Officer of LambdaTest, and Mudit Singh, Head of Marketing and a founding team member. LambdaTest, a leading cloud-based unified testing platform, recently announced a $38 million funding round to propel its cutting-edge innovations like KaneAI and the HyperExecute platform. With over 15,000 customers and a mission to redefine software quality assurance (QA) standards, LambdaTest is at the forefront of AI-powered QA solutions. In this exclusive conversation, we delve into the minds behind the company, exploring their journey, vision, and insights into the future of QA and AI-driven technology.
Q. Jay, as a Co-Founder, what inspired you to start LambdaTest, and how has your journey shaped the company’s ethos?
In 2017, Asad Khan, the co-founder and CEO of LambdaTest, and I recognized a significant gap in the software testing ecosystem. Despite its critical role in the SDLC, it was often overlooked. The existing solutions in the market at the time were stagnant and lacked innovation.
Asad had previously founded 360Logica and he understood the struggles that testers and developers faced first-hand because of the lack of a simplified testing process.
LambdaTest was born out of our joint vision to disrupt the software testing space and build an integrated software testing platform that is both scalable and flexible to help developers perform all types of testing. This was the main inspiration behind LambdaTest.
In April 2024, I took on the additional role of Chief Customer Officer (CCO) at LambdaTest to ensure we are consistently raising the bar for customer experience and integrating customer feedback directly into our product development. This customer-focused approach has been instrumental in shaping LambdaTest’s ethos and driving our success in the software testing industry. Today, we help 10,000+ enterprises accelerate their software development cycles while ensuring the highest quality and reliability.
Q. Mudit, being a founding team member, what has been your most memorable moment at LambdaTest, and how has it influenced your career?
As the Head of Marketing at LambdaTest, one of my most memorable experiences has been seeing how our marketing strategies have grown and helped the company succeed. From creating our brand to running big campaigns to attract users, every step has been a chance to learn and try new things.
One moment that really stands out was when we ran our first major marketing campaign. It included things like content marketing, SEO, ads, and engaging with the community. The positive feedback we got showed that our approach was working and how powerful it is to use different marketing methods together to grow a tech startup.
This experience has been a big part of my career growth. It helped me understand how to create marketing strategies that connect with people around the world. It also showed me how important it is to use data to make decisions and to stay flexible as the digital world changes. Through these experiences, I’ve grown as a marketer and helped LambdaTest in its mission to support developers and testers everywhere.
Q. LambdaTest recently announced a $38 million funding round. How will this funding accelerate your mission and enhance your offerings?
The recent $38 million funding round will be a major catalyst in accelerating LambdaTest's mission to revolutionize software QA. This investment will primarily fuel the continued development of our AI-powered innovations, including KaneAI, an AI Native QA Agent-as-a-Service which is the first of its kind, and the HyperExecute platform. These solutions will transform the QA process by making it faster, smarter, and more scalable.
With KaneAI, teams can dramatically reduce manual efforts in test script generation, streamlining the automation process by up to 70%. HyperExecute will help accelerate test execution by up to 70%, enabling real-time insights and faster error detection, which is critical as businesses face ever-shorter release cycles.
This funding will also allow us to expand our product offerings, strengthen our infrastructure, and continue providing unmatched value to our global customer base of over 15,000 companies. Ultimately, this investment supports LambdaTest’s goal to make high-quality software testing accessible and efficient for organizations worldwide.
Q. The QA space is evolving rapidly. How do innovations like KaneAI and HyperExecute differentiate LambdaTest in this competitive market?
The QA space is changing fast, and staying ahead means doing things smarter and faster. That’s exactly what KaneAI and HyperExecute bring to the table at LambdaTest.
KaneAI makes testing feel effortless—it’s like talking to an AI teammate who helps you create, debug, and evolve tests using simple instructions. Whether it’s automating test creation, spotting bugs, or managing test cases, KaneAI does the heavy lifting, making your testing process faster and more reliable.
HyperExecute takes care of speed and efficiency. It runs tests up to 70% faster by using intelligent features like grouping tests, caching dependencies, and providing real-time logs. You can test on real devices, set up secure environments, and get detailed reports—all without extra hassle.
Together, KaneAI and HyperExecute make QA simple, efficient, and future-ready—helping teams deliver better results in less time.
Q. With over 15,000 customers, including Fortune 500 companies, what has been your most significant customer success story to date?
One of our most impactful customer success stories comes from our partnership with Lereta LLC, a leading provider of real estate tax and flood services. Facing challenges like slow test execution, flaky results, and insufficient support, Lereta sought a solution to match their growing demands for seamless digital experiences.
With LambdaTest HyperExecute, Lereta achieved 70% faster test execution by leveraging a distributed cloud infrastructure that reduced network latency and enabled parallel testing at scale. This transformation wasn’t just about speed—it ensured reliable test results with near-zero flakiness, enabling their team to focus on real issues instead of false positives or negatives.
HyperExecute’s insightful dashboard and automated reporting tools streamlined test management, while our customer-first approach provided tailored support, ensuring Lereta’s success throughout its testing journey. With LambdaTest, they not only met development deadlines but elevated their customer experience—proving the power of efficient and reliable testing at scale.
Q. HyperExecute claims to enable 2.5x faster test resolution. Can you share technical insights into how this platform achieves such impressive efficiency?
HyperExecute is an AI-powered test execution platform developed by LambdaTest that accelerates test execution by up to 70% compared to traditional cloud-based solutions.
It achieves this enhanced efficiency through several key technical strategies
Intelligent Orchestration: Reduces test execution time by up to 30% through AI-driven test orchestration that optimizes the order and distribution of tests based on historical data and dependencies.
Parallel Execution: Supports up to 1000+ parallel test executions, significantly reducing the overall testing time by allowing multiple test cases to run concurrently across distributed environments.
Smart Caching: Achieves a 40% reduction in setup and teardown time by caching commonly used data and environments, minimizing redundant operations, and accelerating the start-up of test environments.
Resource Optimization: Increases resource utilization efficiency by up to 50% through dynamic allocation, ensuring that compute resources are optimally used according to the test load, preventing over-provisioning or underutilization.
Integration with CI/CD Pipelines: Cuts down integration time by up to 25%, enabling seamless connectivity with popular CI/CD tools (like Jenkins, GitLab, and GitHub Actions), thus reducing the manual overhead and accelerating the feedback loop in the development cycle.
Q. How does LambdaTest address the challenges of scaling QA processes for enterprises undergoing rapid digital transformation?
LambdaTest helps enterprises tackle the complexities of scaling QA processes during rapid digital transformation by offering a Unified Testing Cloud tailored for enterprise needs. Our platform enables teams to deliver world-class digital experiences with speed and efficiency, reducing time-to-market and ensuring quality at every stage.
Key solutions like HyperExecute boost test execution by up to 70%, allowing teams to test and deploy changes faster across 3000+ browsers, operating systems, and real devices. With our Real Device Cloud, enterprises can debug apps in real-world scenarios across a wide range of mobile and OTT devices, ensuring flawless performance before production.
Our focus extends beyond automation to AI-powered tools like Kane AI, providing insights and orchestration that free up teams to concentrate on testing outcomes rather than processes. We also integrate seamlessly with 120+ tools and CI/CD pipelines, simplifying workflows while ensuring robust security and actionable analytics.
Q. AI is becoming integral to QA processes. How do you see GenAI-powered tools like KaneAI shaping the future of testing frameworks?
GenAI-powered tools like KaneAI are reshaping the testing landscape by making test automation faster, more inclusive, and highly intelligent. Traditionally, test automation was reserved for technical experts, but KaneAI lowers this barrier by enabling natural language test authoring. This allows product managers, developers, and even non-technical team members to participate in testing, building collaboration, and speeding up release cycles. Features like real-time debugging, AI-driven test healing, and advanced conditional assertions ensure robust test coverage without the usual bottlenecks of brittle test scripts or maintenance overhead.
What sets KaneAI apart is its scalability and flexibility. Unlike low-code/no-code tools that falter at scale, KaneAI offers two-way editing in both natural language and code, empowering teams to seamlessly manage complex workflows. It integrates smoothly with tools like Jira, Slack, and GitHub Actions, making it a natural fit for modern DevOps pipelines. At LambdaTest, we see KaneAI as more than a tool—it’s a step toward democratizing testing and equipping teams to deliver exceptional software at record speeds.
Q. What are LambdaTest’s long-term goals for expanding its footprint in the global QA market?
The global Quality Assurance (QA) landscape is evolving rapidly, driven by the increasing need for faster, more efficient software testing solutions. As companies seek to ensure high-quality digital experiences, platforms like LambdaTest are positioning themselves at the forefront of this transformation.
LambdaTest is expanding its footprint in the global QA market through several key initiatives:
- AI-Driven Innovations: LambdaTest secured $38 million to advance KaneAI, an AI-powered platform that simplifies test script creation and debugging.
- Strategic Partnerships: It partnered with TO THE NEW to integrate LambdaTest's solutions into digital engineering services, boosting software delivery globally.
- Infrastructure Enhancement: LambdaTest upgraded its global network with AWS, improving performance and scalability.
- Professional Services: LambdaTest launched AI-powered professional services to optimize test coverage and streamline QA processes for businesses.
Q. How do you envision AI-driven tools transforming not just QA but the broader software development lifecycle in the next 5–10 years?
AI-driven tools are set to revolutionize software development in the next decade, making quality a shared responsibility across teams. Imagine small startups accessing advanced features like AI-powered test generation and self-healing tests, tools once reserved for tech giants. By simplifying complex processes, AI will empower even non-QA developers to actively contribute, fostering a culture where quality becomes second nature. Early bug detection and predictive insights will also shift the focus to prevention, saving time, money, and headaches down the line.
For developers and QA teams, this means less time spent on repetitive tasks and more on creativity and strategy. AI will speed up feedback loops, offer personalized suggestions, and create room for collaboration between teams. At the same time, it opens doors for companies to build new services, like tailored AI testing solutions. It's not about replacing human testers but giving them the tools to do what they do best—deliver exceptional software.
