SuperAPI AI Directory

Qasolve ai

AI-powered QA platform for automated software testing and high-velocity QA services.

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About this tool

QASolve is an AI-driven QA automation platform focused on providing automated software testing and high-velocity QA services for SaaS applications. Its core goal is to help teams accelerate delivery with release confidence rather than more testing.

Purpose: QASolve turns live applications into dynamic regression test suites, automatically discovers user journeys, builds test coverage, and keeps it updated as the product evolves. It is designed to solve the problems of traditional QA automation relying on extensive manual input, high cost, and long cycles, as well as the dilemma in which frequent UI changes make tests fragile and reduce the value of automation.

Main capabilities:

  • Autonomous discovery: starts from the application URL, with no source code or specifications required.
  • High coverage: achieves 80% automation coverage within 14 days.
  • Self-healing automation: tests adapt to UI, API, and workflow changes, and automatically repair interruptions.
  • Continuous regression validation: runs on every change and automatically repairs.
  • Human review: managed service, with all outputs reviewed and validated by humans in the loop.
  • Automatically maps screens, flows, and roles; captures behavior; builds high-coverage regression from minimal input.
  • Supports multi-browser and device validation.

How to use: users can start by providing the application URL, with no source code or specifications required. The platform automatically discovers user journeys and builds tests. A zero-cost, zero-risk trial is offered: QASolve provides high-coverage automated regression testing that can be used free for 30 days. Users can book a demo to get trial details and next steps.

Applicable scenarios: suitable for software testing, automated testing, and managed QA services for SaaS applications. Customer cases show that QASolve can autonomously generate 2,200+ tests within three weeks, deliver 240 automated tests and discover 24 issues within 30 days, increase tests from 60 to 300 within two weeks, and become a key part of the weekly CI/CD pipeline. It is suitable for teams that need rapid feedback, reduced manual effort, lower QA costs, and improved release quality.

Limitations: the materials do not provide clear information about pricing, specific platform support, integration details, or technical limitations.