Testsigma puts testing in plain English

At Hansard, the calendar was becoming a testing problem. Monthly software deployments depended on manual checks that took 15 to 20 days per cycle. Patches brought another round of retesting. Before the team could comfortably finish checking one version, there was more software to check. The people understood the application. Time was what they lacked.

Hansard chose Testsigma, a low-code automation platform. In Testsigma’s account of the project, regression testing fell from three weeks to less than one, with 75 percent of the regression suite automated. The intriguing detail is the reason for choosing it: the team wanted its existing testers to do the automating.

“With code-heavy tools, it’d have taken us a long time to create a framework.”

Srabani / Test Automation Specialist, Hansard

The person who knows the bug

Testsigma’s proposition begins with a small organizational mismatch. Knowing how a payroll system ought to behave is one skill. Building and maintaining an automation framework is another. When a company makes the second skill a condition of using the first, useful knowledge can sit idle.

The company’s answer is readable test authoring. Testers describe steps in structured English; recording and AI assistance offer other starting points. Testsigma supplies execution, reports and maintenance tools around those steps. Web, mobile, desktop and API testing sit within its remit, alongside enterprise applications such as Salesforce. Its expertise is in joining these activities into a workflow a QA team can operate.

Consider a checkout journey: sign in, add an item, apply a discount, verify the total. That is an illustrative test, but the distinction matters. Clicking the buttons is only part of the work. Someone must decide which discount is valid, what total is correct and which failure deserves to stop a release.

A framework can become a second product

Testsigma’s 2022 funding announcement described automation as a parallel development project, burdened with its own tools and upkeep. That diagnosis explains the business better than a list of AI features. A test suite can become another piece of software that a team must nurse through every change.

Founded in 2019, Testsigma raised $4.6 million in 2022 and another $8.2 million in June 2024, the latter led by MassMutual Ventures. Its Salesforce offering arrived with that announcement. These milestones show the expansion from an accessible automation tool toward a broader enterprise testing business.

The commercial choice is familiar: pay a vendor to assemble and maintain more of the system, or take responsibility for a stack yourself. Selenium, Playwright and Appium give development teams another route. Commercial platforms including mabl, Katalon and Tricentis Tosca compete for testing budgets too. Plain-English authoring is a useful distinction, though hardly an exclusive claim.

Start with the tests that matter

Luminos Labs offers a practical adoption story. The digital commerce company had depended on manual web and mobile checks. Repeating regression work slowed feedback to developers. Its rollout began with critical regression suites, then scheduled runs at night and on weekends and opened failure dashboards to developers.

The sequence is copyable: select consequential journeys, make execution routine, put evidence in front of the people who can fix failures. It is also more modest than trying to automate everything immediately. The case study reports over 21,000 monthly test executions and a 60 percent reduction in regression cycle time. Those are customer-specific results published by the vendor.

The AFAS Software case study adds an infrastructure lesson. One tester managed a mobile application on a six-week release schedule; slow, unreliable emulator runs undermined confidence. The move combined real cloud devices, low-code authoring and Jenkins-triggered nightly checks. Making execution dependable mattered alongside making tests easier to write.

An AI coworker needs a handoff

In May 2025, Testsigma introduced Atto, its AI coworker, alongside AI-native Test Management. Kandyala’s launch explanation cited conversations with QA leaders and testers: faster development was leaving testing behind, while script generation alone still left teams managing frameworks. The ambition widened to include more of the testing lifecycle.

The October 12, 2026 release makes that ambition concrete. Agentic Learning runs inside Copilot, learning a manual test against a live application and producing automated steps in the same session. A tester can approve decisions individually. When a one-time passcode needs human input, the agent asks. Failure analysis happens while the application remains on the failing screen.

This also changes what a useful demonstration should show. Ask to see a test fail, watch the investigation, and inspect any repair before accepting it. The happy path can look convincing in almost any demo. A team evaluating Testsigma can learn more from the handoff after an unexpected screen, a changed element or a missing prerequisite. That is where its promise meets the daily work of quality assurance.

Count the whole bill

Automation Pro and Enterprise plans require custom quotes. The separate Test Management product advertises paid plans starting at $14 per user per month and a free option. Those prices describe different products. Buyers should count authoring, investigation and upkeep alongside the subscription.

There are practical conditions. Private applications need a reachable execution environment, agent or tunnel. Unusual actions may need add-ons. A repaired locator does not prove that the test checks the right business rule. Testsigma’s advantage is clearest when a team has valuable product knowledge and repetitive checks that consume its time. The decisive question is whether tomorrow morning’s results will help that team make a better release decision.