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| Product | Mindshare (%) |
|---|---|
| mabl | 1.4% |
| Testsigma | 1.2% |
| Other | 97.4% |
mabl is the agentic testing harness that helps quality keep pace with AI-powered development. It combines specialized testing agents with deep application context to continuously validate customer experiences across web, mobile, and APIs, independently from the developers and coding agents that wrote the code.
Coding agents let teams create and change software faster than ever, but testing, maintenance, and failure investigation haven't kept up. mabl brings validation into the tools developers and coding agents already use, keeps tests current as the application changes, and records the evidence behind every release decision. Teams spend less time maintaining tests and chasing failures, and more time building.
What features make mabl valuable?
Independent validation: mabl tests every change separately from the systems that created it, checking real customer workflows across web, mobile, and APIs, including MFA logins, API calls, database checks, and PDF downloads.
Testing in the tools developers use: mabl's MCP server and installable skills connect to Claude Code, Cursor, VS Code, and other coding agents. Developers can build coverage, run the tests a change affects before a pull request merges, and debug failures against a local build.
Agentic test creation: Describe a test in plain language or hand mabl a Jira ticket. mabl builds the test, replays it to confirm it passes, and saves it in a step-by-step editor anyone on the team can read.
Adaptive auto-healing: When the UI changes, mabl updates the affected tests and scores every heal for confidence. Assertions are never healed, so real defects still fail.
Agentic failure analysis: Every failed test comes with a likely root cause and a recommended fix, separating application bugs from test and environment issues.
Traceable evidence and control: Every run produces a tamper-evident record that connects to Jira, Xray, TestRail, and Azure Boards. Agent activity tracking and agent instructions let teams see and set how mabl's agents work.
What benefits and ROI can be expected?
Less time validating software: SealingTech cut test execution time by 86%, and JetBlue runs tests 9x faster.
Faster test creation: Mercedes-Benz cut test creation time from 10 hours to 1 hour.
Lower maintenance burden: Momentum Energy reduced test maintenance time by 90%.
More capacity and more reliable releases: LeadingReach avoided hiring five senior QA engineers, saved $500K, releases 2x faster, and reports zero production bugs since adopting mabl.
mabl is built for companies with business-critical applications, especially where quality is non-negotiable and auditability matters. In financial services, healthcare, and insurance, teams use mabl's tamper-evident evidence and proof that testing happened before deployment to support audit and compliance requirements. In travel and retail, teams use mabl to keep high-traffic customer journeys like booking and checkout working as release cadence increases.
Testsigma is an agentic test automation platform that runs the full testing lifecycle: generating, executing, healing, and diagnosing tests, then filing the bugs, in one platform, on web, mobile, API, desktop, and Salesforce. At the end of that loop, it scores your release: a confidence number, backed by evidence, that tells you whether you're actually safe to ship, not just whether the build is green.
Testsigma serves mid-market and enterprise engineering teams across financial services, insurance, healthcare, manufacturing, retail, public sector, and technology. Recognized by Gartner in the Market Guide for AI-Augmented Enterprise Application Testing Tools and by Forrester in the Autonomous Testing Platforms Landscape.
What are the key features of Testsigma?
What benefits or ROI can be expected?
Industries such as finance, healthcare, and e-commerce implement Testsigma for its automation capabilities, enabling them to maintain high-quality standards and release cycles. It helps institutions within these sectors to meet specific compliance and reliability requirements while adapting to dynamic market changes.
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