# QASolve.ai

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).

Autonomous AI agents that turn your live app into a self-maintaining regression suite

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | QASolve.ai |
| Handle | qasolve-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | qasolve.ai |
| Website URL | https://www.qasolve.ai |
| Categories | AI Testing, AI Agent, AI Copilot |
| Pricing Model | Paid |
| Monthly Visits | 0 |
| MoM Traffic Change | -92 |
| MoM Growth Rate | -100% |
| Primary Market | Global |
| Market Share | — |
| Direct Visits | 0 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 0 |
| Email Visits | 0 |
| Review Score | 3.9 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Paid |
| Tags | AI testing, QA automation, Software testing, Test automation, Regression testing, AI-augmented testing, QA as a Service, Test case generation, Self-healing tests, Continuous Integration, Continuous Delivery, CI/CD |

## Overview

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.

## Pricing & Plans

Paid, usage-based managed-service plans across three tiers: Standard (ideal for small applications, 50 compute hours, 20 Forward Deployed Engineer hours, Chrome on Linux), Premium or 'Recommended' (medium-size applications, 100 compute hours, 50 FDE hours, all four platform configurations, API access included), and Enterprise (enterprise/ERP applications, unlimited compute, 1 FTE Forward Deployed Engineer included, all platforms, API access, premium support). All plans include unlimited tests, users and runs within the allotted hours; extra compute hours are billed at $15/hour and extra FDE hours at $25/hour. A 30-day money-back guarantee is advertised. Exact plan prices are quoted on demo.

## Key Features & Capabilities

- **Autonomous UI and journey discovery:** 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.
- **Executable knowledge graph:** 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.
- **Continuous execution and self-healing:** Suites run on each change and revise themselves as the app evolves, keeping regression coverage trustworthy rather than decaying over time.
- **Human-in-the-loop triage:** 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.
- **Managed Forward Deployed Engineer:** Plans include engineer hours for result validation, weekly check-ins and sprint-planning attendance, blending product automation with an outsourced QA service.

## Primary Use Cases

- **Rebuild regression coverage fast (QA lead / QA manager):** 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.
- **Gate releases in CI/CD (Engineering leader at a fast-shipping SaaS):** 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.
- **Get real QA capacity without hiring (Startup CTO without a QA team):** 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.
- **Validate complex end-to-end workflows (Enterprise / ERP delivery team):** 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.

## Strengths

- No source code or requirement documents needed — testing starts from the running application URL
- Self-healing tests directly address the high broken-test rate that undermines traditional automation
- Human-verified failures with reproduction steps prevent noisy false positives reaching engineers
- Unlimited tests, users and runs within plan hours, plus API access on higher tiers
- Reports strong time-to-coverage on shared case studies (e.g. from 60 to 300 tests in two weeks)

## Limitations

- No transparent public price list; plans are quoted through a demo, which slows comparison shopping
- Managed-service model with included engineer hours can mean more hand-holding than a pure self-serve tool for teams that want to run QA entirely in-house
- Overages are metered ($15 per extra compute hour, $25 per extra FDE hour), so heavy parallel execution can exceed plan budgets

## Frequently Asked Questions

### Do I need to give QASolve access to my codebase or requirement specs?
No. QASolve's agents work from the live application. They discover screens, flows, roles and APIs from the running product, so coverage can be built even when documentation is thin or the codebase is off-limits to third parties.

### How does QASolve handle flaky or failing tests?
Failed and flaky tests are automatically re-run two more times with verbosity turned on. The Success Team manually verifies them, and only valid failures are added to the Issues Tracker with detail, keeping the signal clean for engineering.

### What environments and browsers are supported?
Standard plans cover Chrome on Linux. Premium and Enterprise plans include all four platform configurations: Chrome, Safari and Edge across Linux, Windows, Android and iOS simulator at chosen resolutions.

### How is QASolve priced?
Plans are usage-based across Standard, Premium and Enterprise tiers, combining included compute hours and Forward Deployed Engineer hours with unlimited tests, users and runs inside those hours. Additional compute is $15/hour and additional FDE time is $25/hour, and the company advertises a 30-day money-back guarantee.

### What is QASolve.ai's monthly traffic and growth trend?
QASolve.ai currently receives 0 monthly visits, with a month-over-month traffic change of -92 (-100% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

### Is QASolve.ai free? What is its pricing model?
QASolve.ai operates on a Paid pricing model. Paid, usage-based managed-service plans across three tiers: Standard (ideal for small applications, 50 compute hours, 20 Forward Deployed Engineer hours, Chrome on Linux), Premium or 'Recommended' (medium-size applications, 100 compute hours, 50 FDE hours, all four platform configurations, API access included), and Enterprise (enterprise/ERP applications, unlimited compute, 1 FTE Forward Deployed Engineer included, all platforms, API access, premium support). All plans include unlimited tests, users and runs within the allotted hours; extra compute hours are billed at $15/hour and extra FDE hours at $25/hour. A 30-day money-back guarantee is advertised. Exact plan prices are quoted on demo. Supported billing and checkout platforms include: not listed.

### What are the best QASolve.ai alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to QASolve.ai are: 1. QA.tech (30.55K visits/mo); 2. Autify (60.13K visits/mo); 3. ContextQA 2.0 (9.79K visits/mo); 4. KaneAI (901.34K visits/mo); 5. Autosana (12.06K visits/mo).

### Which platforms and core AI capabilities does QASolve.ai support?
QASolve.ai is classified under AI Testing, AI Agent, AI Copilot, supports the following platforms: Website, and its core capability tags include: AI testing, QA automation, Software testing, Test automation, Regression testing, AI-augmented testing.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [QA.tech](https://openaitools.app/tool/qa-tech) | 30,550 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/qa-tech-vs-qasolve-ai) |
| [Autify](https://openaitools.app/tool/autify-com) | 60,130 | Contact for Pricing | [Compare](https://openaitools.app/compare/autify-com-vs-qasolve-ai) |
| [ContextQA 2.0](https://openaitools.app/tool/contextqa-2-0) | 9,794 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/contextqa-2-0-vs-qasolve-ai) |
| [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/kaneai-vs-qasolve-ai) |
| [Autosana](https://openaitools.app/tool/autosana) | 12,057 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/autosana-vs-qasolve-ai) |
| [Qase](https://openaitools.app/tool/qase) | 319,213 | Freemium, Free Trial, Contact for Pricing, Free | [Compare](https://openaitools.app/compare/qase-vs-qasolve-ai) |
| [Virtuoso QA](https://openaitools.app/tool/virtuoso-qa) | 20,169 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/qasolve-ai-vs-virtuoso-qa) |
| [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | Free Trial, Contact for Pricing, Free | [Compare](https://openaitools.app/compare/qasolve-ai-vs-testrigor-com) |
| [TestSprite](https://openaitools.app/tool/testsprite) | 114,205 | Freemium | [Compare](https://openaitools.app/compare/qasolve-ai-vs-testsprite) |
| [Shiplight AI](https://openaitools.app/tool/shiplight-ai) | 33,676 | Contact for Pricing | [Compare](https://openaitools.app/compare/qasolve-ai-vs-shiplight-ai) |
| [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | Freemium, Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/katalon-studio-vs-qasolve-ai) |
| [Pie](https://openaitools.app/tool/pie) | 11,551 | Contact for Pricing | [Compare](https://openaitools.app/compare/pie-vs-qasolve-ai) |

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Source: https://openaitools.app/tool/qasolve-ai