Cloud-based testing platform Testsigma has launched a suite of autonomous AI testing capabilities, with a new testing ‘buddy’ called Atto taking centre stage.
The AI-based low-code test automation firm is introducing an intelligent agent that operates independently throughout the testing lifecycle, “pushing the boundaries of what’s possible in continuous testing,” as the firm put it.
At the centre of this innovation is Atto, an AI-powered “co-worker” that autonomously generates, executes, and analyses tests.
Unlike conventional test automation tools that primarily assist in code generation, Atto operates end-to-end—producing real-time insights and running scalable, self-healing tests without any coding or setup.
By doing so, it enables teams to continuously test at speed and scale, even in fast-moving development environments, claimed Rukmangada Kandyala, the founder and the chief executive of Testsigma.
“This launch represents a significant step forward, allowing every tester—not just automation engineers—to harness AI agents,” Kandyala went on to say.
“Manual and automated testing are no longer isolated; agentic testing transforms QA into a dynamic, fast-moving discipline that meets modern development velocities,” he explained.
Kandyala called his firm’s integrated approach “unique”, namely in its ability to “democratise” access to AI testing, empowering QA professionals regardless of technical background.
By embedding AI agents across every phase of the testing process—from test planning and design to execution and reporting—the platform allows teams to work more autonomously and efficiently, he noted.
“Manual and automated testing are no longer isolated; agentic testing transforms QA into a dynamic, fast-moving discipline.”
– Rukmangada Kandyala
The launch also included a new Test Management product, built around the principles of agentic testing, Kandyala continued.
Here, AI agents support quality analysts by analysing requirements, generating test cases from source materials like designs or code changes, executing test cycles, identifying gaps, and reporting defects.
“This intelligent assistance replaces the manual labour and fragmented tooling traditionally associated with test management,” Kandyala pointed out.
He stressed that by automating repetitive, time-consuming tasks, his firm is shifting the role of testers toward more strategic responsibilities.
“We’ve always envisioned testing as accessible and intelligent,” Kandyala added. “Our goal is to enhance the capabilities of our platform, making testing smarter and more efficient.”
Kandyala was able to back up his claims with a number of industry endorsements.
Andrew Haitz, QA Engineer at Galactic Advisors, agreed to share that “with the rapid acceleration of development, testing speed is crucial. Testsigma’s Agentic AI marks a pivotal change. This is the leap QA teams have been eagerly anticipating.”
Testsigma’s latest innovation reflects a growing trend in the software industry: the shift toward AI-driven, autonomous testing as a foundation for scalable, resilient digital delivery.
As companies seek to accelerate release cycles without compromising quality, tools like Atto are becoming critical enablers of both speed and reliability.
Cash injection
The launch comes only months after TestSigma received fresh capital allocations from a range of investors, totalling to $8.2 million in fresh funding.
The funding round was led by MassMutual Ventures, along with some of the firm’s existing investors such as BoldCap, Strive and Accel.
The firm, which was founded five years ago, helps quality engineering teams to automate tests at speed and scale without coding expertise.
Its platform has seen a large uptake in California, where TestSigma was founded by Rajesh Reddy, Rukmangada Kandyala and Pratheep Velicherla.
Anvesh Ramineni, managing partner at MassMutual Ventures, explained his firm’s decision to invest in the company.
“The firm’s AI-driven, low-code solution enables multiple user profiles, including manual testers and business analysts, to contribute to faster software releases,” he said.
Ramineni stressed he is “impressed by the rapid adoption of TestSigma’s platform among enterprise QA teams and are excited about the GenAI capabilities they have been building.”
Co-investor Abhinav Chaturvedi, partner at Accel, said in agreement that “there is an accelerated demand for quality engineering teams to adopt low-code and AI-powered solutions.”
The latest capital raise follows another funding round, which brought in $4.6 million from BoldCap, Accel and Strive. Those funds helped TestSigma to accelerate the development of its platform that is able to generate and run automated tests, primarily for web and mobile apps, as well as APIs.
Following the rollout of a fairly advanced natural language programming engine, the firm introduced GenAI capabilities, which allow QA teams to create test cases.
Vision
Calling his firm “a capital-efficient business,” Kandyala told the YS website recently that “the fundraise will definitely help us invest more in product engineering and will help us accelerate the various projects that we are internally working on, one of them being Generative AI.”
He added “there are very interesting areas where we are receiving good feedback from early adopters, many of whom are large enterprises.”
Kandyala singled out a 2024 IDC report, forecasting that GenAI tools will automate 70% of software tests, improving test coverage, usability, and code quality within the next three years.
“Around 60% of our revenues are from North America, with 20% from Europe and 20% from the rest of the world,” Kandyala shared.
He stressed “the firm’s sales and marketing teams are mostly from India and with the momentum we are seeing, we feel like it’s now a good time to invest and build our GTM teams in the US.”
Ultimately, the vision of Kandyala and his c-founders is to build the operating system for quality engineering teams.
“The market demand is huge; every company today is a software engineering company and requires rigorous software testing. We want to be an end-to-end testing platform for all teams. We are enhancing our portfolio of solutions to help everyone in the QA team with every possible testing use case,” he concluded.
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