Autonomous AI agents that turn your live app into a self-maintaining regression suite
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, QASolve.ai (qasolve.ai) is an AI platform indexed under AI Testing generating 0 monthly visits with a month-over-month traffic delta of -92 (-100%). Its primary geographic market is Global (— traffic share), and it operates on a Paid pricing model. Top competing alternatives by monthly volume include QA.tech (30.55K visits/mo), Autify (60.13K visits/mo), ContextQA 2.0 (9.79K visits/mo).
Generated regression tests from our staging URL in under ten minutes.
Self-healing tests actually saved our CI pipeline during a major UI redesign.
Pricey.
Game changer for QA.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Starting only from your application URL, agents map screens, flows and user roles without needing source code, specs or manual scripting, so onboarding does not depend on your engineering team's availability.
Discovered behaviours are captured in a model of your application's actions, APIs and information structure, letting tests adapt automatically instead of breaking on every UI change.
Suites run on each change and revise themselves as the app evolves, keeping regression coverage trustworthy rather than decaying over time.
Failed and flaky tests are re-run with verbosity enabled, then manually verified by a Success Team, so only validated failures reach your Issues Tracker with reproduction steps.
Plans include engineer hours for result validation, weekly check-ins and sprint-planning attendance, blending product automation with an outsourced QA service.
QASolve.ai attacks the part of QA automation that consistently breaks down: keeping tests alive as the product evolves. Instead of asking engineers to script flows from requirements, QASolve agents start from your live application URL and autonomously discover screens, user journeys, roles and APIs. That discovery feeds an executable knowledge graph, which in turn generates high-coverage regression suites and re-derives them when the application changes, so test maintenance stops being a manual engineering chore.
The company pairs that automation with a managed service layer. Every failed or flaky test is re-run with extra verbosity, then reviewed by a human Success Team before a genuine failure is written into the Issues Tracker — so your engineers only see issues that a person has already triaged. Each engagement includes Forward Deployed Engineer hours (test-result validation, weekly check-ins, sprint-planning attendance), and customers report going from tens of tests to hundreds within two weeks and hitting 80%+ automation coverage in one to two weeks rather than months.
Commercially, QASolve sells three usage-based plans — Standard for small applications, Premium for medium-size applications, and Enterprise for enterprise or ERP estates — differentiated by compute hours, included Forward Deployed Engineer hours, platform coverage and API access. It is aimed at teams whose development velocity has outrun their QA capacity, particularly SaaS products with frequent UI changes and CI/CD pipelines that need dependable regression gates.
Replace a brittle, partly maintained Selenium suite with self-maintaining coverage generated from the live app, and redirect the team from script upkeep to exploratory and risk-based testing.
Run generated regression suites on every change and feed validated failures into the pipeline, so releases stop depending on a manual pre-release testing crunch.
Use the managed service and Forward Deployed Engineer hours to obtain multi-browser, multi-device validation coverage from the first weeks, including on apps with no existing test automation.
Apply the Enterprise tier to large ERP or enterprise estates where workflows span many screens and roles, and where coverage gaps only surface after go-live.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | QASolve.ai | 0 | -100% | — | Paid | Current |
| 1 | QA.tech | 30.55K | -4.4% | 69% direct | Paid, Contact for Pricing | vs QA.tech |
| 2 | Autify | 60.13K | +6% | 35% direct | Contact for Pricing | vs Autify |
| 3 | ContextQA 2.0 | 9.79K | -3.2% | 40% direct | Free Trial, Contact for Pricing | vs ContextQA 2.0 |
| 4 | KaneAI | 901.34K | +13.2% | 23% direct | Freemium, Paid, Contact for Pricing | vs KaneAI |
| 5 | Autosana | 12.06K | +138.3% | 53% direct | Freemium, Contact for Pricing | vs Autosana |
| 6 | Qase | 319.21K | -25.5% | 77% direct | Freemium, Free Trial, Contact for Pricing, Free | vs Qase |
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