# Equixly vs QA.tech

Equixly records 13,245 monthly visits with -34.3% month-over-month growth and Contact for Pricing pricing. QA.tech records 30,550 monthly visits with -4.4% growth and Paid, Contact for Pricing pricing.

| Metric | [Equixly](https://openaitools.app/tool/equixly) | [QA.tech](https://openaitools.app/tool/qa-tech) |
| :--- | :--- | :--- |
| Website URL | https://equixly.com | https://qa.tech |
| Categories | AI Agent, AI Testing, AI API, AI Developer Tools | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 13,245 | 30,550 |
| MoM Growth Rate | -34.3% | -4.4% |
| Primary Market | United States | Sweden |
| Direct Visits | 5,289 | 21,231 |
| Review Score | 4.1 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Equixly

Equixly is an offensive security platform built for enterprise engineering and security teams that need continuous testing rather than a once-a-year penetration test. Its AI engine runs four specialized agents in coordination: a Discovery Agent maps endpoints, parameters, authentication states, and workflows; an Attacker Agent writes and refines payloads and adapts as the target responds; an Evaluator Agent decides whether an attack succeeded and which controls failed; and an Orchestrator Agent carries context through the whole engagement and chains individual findings into higher-impact attack paths.

The platform covers web applications, APIs, GenAI and LLM applications, and MCP servers. A core design principle is that findings are only reported behind a proof-of-exploit gate — if the Evaluator cannot reproduce an issue, it is dropped rather than surfaced as noise. This gives teams a view of exploitable risk with demonstrated impact, and supports continuous validation instead of a snapshot assessment that ages quickly.

A distinguishing claim is sovereignty: Equixly trains and runs its own models and operates its own infrastructure, so testing data such as endpoints, credentials, and tokens stays within a defined security boundary with EU data residency, rather than being routed through general-purpose AI providers. The platform integrates into CI/CD pipelines, supports continuous testing at the pace of software change, and is positioned for regulated industries including financial services, energy, SaaS, and retail. Pricing is quote-based and scales with what you test, without token metering or per-test charges.

**Pricing & Plans:** Pricing is custom and quote-based. Equixly scales cost with what you test rather than a fixed annual engagement, and there is no token meter or separate per-test charge. Book a demo or request a quote for details.

- **Multi-agent offensive security engine:** Discovery, Attacker, Evaluator, and Orchestrator agents map a target, attempt exploits, verify what actually worked, and chain findings into real attack paths.
- **Exploit-validated findings:** Every finding passes a proof-of-exploit gate, so reports focus on vulnerabilities an attacker can genuinely reach instead of unvalidated alerts.
- **Coverage across modern surfaces:** Test web apps, APIs, GenAI and LLM applications, and MCP servers across one platform, with coverage that scales from a single app to a portfolio.
- **CI/CD pipeline testing:** Trigger testing from your pipeline so applications are re-tested as they change, with no separate charge tied to test frequency.
- **Sovereign, self-run models:** Equixly owns its models and runs its own infrastructure, keeping sensitive testing data inside a defined boundary with EU data residency.
- **Predictable cost model:** Pricing scales with what you test rather than a fixed annual engagement, with no token meter or unpredictable inference bill.

**Strengths:** Exploit-validated findings reduce alert noise and focus teams on reachable risk; Multi-agent architecture chains minor issues into meaningful attack paths; Covers web apps, APIs, GenAI/LLM apps, and MCP servers in one platform; Owns its models and infrastructure, supporting EU data residency and predictable costs

[Profile (Markdown)](https://openaitools.app/tool/equixly.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 Equixly and QA.tech compare in monthly traffic?

Equixly has 13,245 monthly visits, while QA.tech has 30,550. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Equixly has a month-over-month growth rate of -34.3%; QA.tech has -4.4%.

### How does pricing compare?

Equixly: Contact for Pricing. Pricing is custom and quote-based. Equixly scales cost with what you test rather than a fixed annual engagement, and there is no token meter or separate per-test charge. Book a demo or request a quote for details. 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 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 3 | [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) |
| 4 | [ProjectDiscovery Neo](https://openaitools.app/tool/projectdiscovery-neo) | 158,530 | +22.5% | Paid, Contact for Pricing | AI security platform that finds exposures, proves they're exploitable, and ships the fix | [.md](https://openaitools.app/tool/projectdiscovery-neo.md) |
| 5 | [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) |
| 6 | [Mindgard](https://openaitools.app/tool/mindgard) | 153,455 | +1.3% | Contact for Pricing | Attack-led AI security testing and red teaming | [.md](https://openaitools.app/tool/mindgard.md) |
| 7 | [Hacktron](https://openaitools.app/tool/hacktron) | 125,526 | -40.9% | Freemium, Paid, Contact for Pricing | AI-native offensive security: continuous red teaming, white-box pentests, and PR review | [.md](https://openaitools.app/tool/hacktron.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [Confident AI](https://openaitools.app/tool/confident-ai) | 83,400 | -3.3% | Freemium, Paid, Contact for Pricing | Standardize LLM evaluation, observability, and red teaming across your whole org | [.md](https://openaitools.app/tool/confident-ai.md) |

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

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