# Autosana vs QA.tech

Autosana records 12,057 monthly visits with +138.3% month-over-month growth and Freemium, Contact for Pricing pricing. QA.tech records 30,550 monthly visits with -4.4% growth and Paid, Contact for Pricing pricing.

| Metric | [Autosana](https://openaitools.app/tool/autosana) | [QA.tech](https://openaitools.app/tool/qa-tech) |
| :--- | :--- | :--- |
| Website URL | https://autosana.ai | https://qa.tech |
| Categories | AI Agent, AI Testing, AI Developer Tools, No-Code&Low-Code | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Freemium, Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 12,057 | 30,550 |
| MoM Growth Rate | +138.3% | -4.4% |
| Primary Market | India | Sweden |
| Direct Visits | 6,410 | 21,231 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Autosana

Autosana replaces brittle selector-based test scripts with short natural-language flow files. You describe what a user should do and what should happen along the way, and AI agents carry out those steps against iOS and Android builds, web browsers, Chrome extensions, and App Clips. Because the flows describe intent rather than specific UI elements, they keep working when a redesign moves buttons or changes layout, removing much of the maintenance burden that makes traditional E2E suites expensive.

The platform is designed to fit into existing engineering workflows rather than sit beside them. Flows and suites live in your repository as code, a GitHub bot runs the flows touched by each pull request on that PR's build and posts videos and results back to the PR, and cached steps replay five to eight times faster to keep CI time down. Coding agents can create, run, and fix flows locally through the CLI or MCP before a PR is even opened, and setups that need backend state can use hooks, environments, and secrets.

Beyond simple pass/fail, Autosana records runs step by step with video, captures every network request made during a run, monitors CPU and memory to surface slow or memory-hungry screens, and reports bugs and confusing UX it encounters while testing. Results route to Slack, email, webhooks, Linear, and Jira. The vendor offers a free pay-as-you-go tier with 1,000 AI actions per month, a Startup plan at $999 per month, a Pro plan at $2,499 per month, and custom Enterprise pricing with SOC 2 documentation and a dedicated forward-deployed engineer.

**Pricing & Plans:** Free pay-as-you-go tier with up to 1,000 AI actions refilled monthly; Startup at $999/month with 15,000 AI actions; Pro at $2,499/month with 50,000 AI actions; Enterprise custom pricing. Paid plans include a 30-day money-back guarantee.

- **Natural-language flow authoring:** Write a user journey in a sentence instead of maintaining selectors or scripts; flows live in your repo as YAML and run across iOS, Android, web, Chrome extensions, and App Clips.
- **Self-healing tests:** When the UI is redesigned, flows adapt automatically as long as the underlying user journey is unchanged, so you do not rewrite tests after a visual refresh.
- **Pull-request CI integration:** A GitHub bot runs the flows a change touches on the PR's build, posts pass/fail results and run videos on the PR, and reviewers can see exactly what broke.
- **Coding-agent workflow via CLI and MCP:** Run flows locally through the CLI or MCP so AI coding agents can reproduce a failure, patch the code, and verify the fix before opening the pull request.
- **Deep debugging telemetry:** Step-by-step run recordings with video, network request logs, CPU and memory monitoring, plus automated bug and UX reports; results flow into Slack, Linear, and Jira.

**Strengths:** Flows are written in natural language and stored as code in your repository; Self-healing behaviour drastically reduces E2E maintenance vs. selector-based tools; Broad platform coverage across iOS, Android, web, Chrome extensions, and App Clips; Free tier with 1,000 AI actions per month and no credit card required to start

**Limitations:** Paid tiers are expensive for small teams ($999/month for Startup); Usage is metered in AI actions, so heavy test suites require careful cost planning; Powerful features such as parallel cloud sessions and physical devices are gated to upper tiers

[Profile (Markdown)](https://openaitools.app/tool/autosana.md)

## 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)

## Frequently Asked Questions

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

Autosana has 12,057 monthly visits, while QA.tech has 30,550. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Autosana has a month-over-month growth rate of +138.3%; QA.tech has -4.4%.

### How does pricing compare?

Autosana: Freemium, Contact for Pricing. Free pay-as-you-go tier with up to 1,000 AI actions refilled monthly; Startup at $999/month with 15,000 AI actions; Pro at $2,499/month with 50,000 AI actions; Enterprise custom pricing. Paid plans include a 30-day money-back guarantee. 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.

## 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 | [Drizz](https://openaitools.app/tool/drizz) | 40,750 | -19.1% | Free Trial, Paid, Contact for Pricing | Describe it in plain English, Drizz tests it on real devices | [.md](https://openaitools.app/tool/drizz.md) |
| 9 | [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) |
| 10 | [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) |

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

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