# QA.tech vs QASolve.ai

QA.tech records 30,550 monthly visits with -4.4% month-over-month growth and Paid, Contact for Pricing pricing. QASolve.ai records 0 monthly visits with -100% growth and Paid pricing.

| Metric | [QA.tech](https://openaitools.app/tool/qa-tech) | [QASolve.ai](https://openaitools.app/tool/qasolve-ai) |
| :--- | :--- | :--- |
| Website URL | https://qa.tech | https://www.qasolve.ai |
| Categories | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools | AI Testing, AI Agent, AI Copilot |
| Pricing Model | Paid, Contact for Pricing | Paid |
| Monthly Visits | 30,550 | 0 |
| MoM Growth Rate | -4.4% | -100% |
| Primary Market | Sweden | Global |
| Direct Visits | 21,231 | 0 |
| Review Score | 4.3 | 3.9 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## QA.tech

QA.tech positions itself as the verification layer for teams shipping software with heavy AI assistance: coding got much faster, but review and QA did not keep pace. Instead of maintaining a fragile library of selectors and scripts, QA.tech runs autonomous agents that open your live web or native mobile app, work toward goals the way a person would, and report back on what actually works before code is merged.,The product is built around continuous, dynamic testing rather than one-off suites. Connect GitHub, GitLab or Bitbucket and a CI provider, and agents automatically pick up each pull request together with its preview environment, run end-to-end and exploratory passes, and comment on the PR with results. When something fails, you get screenshots, console and network activity and the agent's reasoning at the point of failure, which shortens time to root cause considerably.,Testing is also context-aware over time. Journeys and domain rules you spell out in chat accumulate as knowledge the agents reuse on every later run, and a blast-radius view flags changes that ship untested because a required test user or journey is missing. The platform is cloud-native, needs no code access, and is targeted at QA leads, engineers, CTOs and DevOps teams; Vercel Ventures and founder investors back the company. Pricing is not published as a simple self-serve number — teams book a demo, though a free getting-started path is offered.

**Pricing & Plans:** Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs.

- **Plain-language test authoring:** Describe a journey or rule in chat and the agent turns it into durable test cases that survive refactors and redesigns.
- **PR-level verification:** Every pull request gets a dynamic exploratory pass with preview environments, failure breakdowns, screenshots, console and network logs.
- **Web and native mobile:** Agents target real browsers and native iOS and Android apps, so coverage reaches beyond the web front end.
- **CI, Git and issue-tracker integrations:** Findings flow into Jira and Linear, and agents can be queried over MCP by other coding agents.
- **Blast-radius analysis:** Detects when changes to a module are untested and recommends the exact journeys or test users needed to close the gap.

**Strengths:** Agents test visually without selectors, so suites survive redesigns and framework migrations; Runs automatically on every pull request with preview environments; Plain-English test authoring is accessible to non-engineers; Rich failure evidence — screenshots, logs, network data and agent reasoning

[Profile (Markdown)](https://openaitools.app/tool/qa-tech.md)

## QASolve.ai

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.

- **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.

**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

**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

[Profile (Markdown)](https://openaitools.app/tool/qasolve-ai.md)

## Frequently Asked Questions

### How do QA.tech and QASolve.ai compare in monthly traffic?

QA.tech has 30,550 monthly visits, while QASolve.ai has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

QA.tech has a month-over-month growth rate of -4.4%; QASolve.ai has -100%.

### How does pricing compare?

QA.tech: Paid, Contact for Pricing. Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs. QASolve.ai: Paid. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 2 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Ship with confidence: one system of record for manual, automated, and CI tests | [.md](https://openaitools.app/tool/qase.md) |
| 3 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 4 | [TestSprite](https://openaitools.app/tool/testsprite) | 114,205 | +15.8% | Freemium | Agentic end-to-end testing that writes, runs and heals your test suite | [.md](https://openaitools.app/tool/testsprite.md) |
| 5 | [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | -2.7% | Free Trial, Contact for Pricing, Free | Write end-to-end test automation in plain English, no code required | [.md](https://openaitools.app/tool/testrigor-com.md) |
| 6 | [Momentic](https://openaitools.app/tool/momentic) | 68,819 | -15.2% | Freemium, Usage-based, Enterprise | Agentic AI QA engineer for web, iOS, and Android testing | [.md](https://openaitools.app/tool/momentic.md) |
| 7 | [Autify](https://openaitools.app/tool/autify-com) | 60,130 | +6% | Contact for Pricing | AI testing platform for the entire software testing lifecycle | [.md](https://openaitools.app/tool/autify-com.md) |
| 8 | [Shiplight AI](https://openaitools.app/tool/shiplight-ai) | 33,676 | -8.2% | Contact for Pricing | Agent-native end-to-end testing that maintains itself | [.md](https://openaitools.app/tool/shiplight-ai.md) |
| 9 | [Virtuoso QA](https://openaitools.app/tool/virtuoso-qa) | 20,169 | +84.5% | Paid, Contact for Pricing | Agentic test automation that builds, runs and maintains your enterprise tests | [.md](https://openaitools.app/tool/virtuoso-qa.md) |
| 10 | [Autosana](https://openaitools.app/tool/autosana) | 12,057 | +138.3% | Freemium, Contact for Pricing | Natural-language end-to-end testing for mobile and web apps | [.md](https://openaitools.app/tool/autosana.md) |

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Source: https://openaitools.app/compare/qa-tech-vs-qasolve-ai

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