# Cekura vs QA.tech

Cekura records 73,228 monthly visits with -18.9% 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 | [Cekura](https://openaitools.app/tool/cekura) | [QA.tech](https://openaitools.app/tool/qa-tech) |
| :--- | :--- | :--- |
| Website URL | https://www.cekura.ai | https://qa.tech |
| Categories | AI Agent, AI Testing, AI Monitor, AI Voice Assistants | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 73,228 | 30,550 |
| MoM Growth Rate | -18.9% | -4.4% |
| Primary Market | United States | Sweden |
| Direct Visits | 20,438 | 21,231 |
| Review Score | 4.2 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Cekura

Cekura addresses a problem that appears the moment an AI voice agent goes live: conversational agents fail in ways traditional software tests never catch. The platform generates thousands of synthetic conversations against personas, edge cases and adversarial prompts before launch, so teams can gate every deployment on a passing suite rather than discovering bugs in front of real customers.

The product is organized around three loops. Test covers pre-production simulation, instruction-following, tool calls, hallucination and compliance checks. Monitor watches live calls and chats in production, detecting sentiment drift, latency changes, dropped conversations and unresolved intents. Improve closes the loop: Cekura flags a failure, reproduces it in simulation, suggests a prompt or configuration patch, then re-runs the gate to confirm the fix. Alongside this, Cekura Bench publishes head-to-head comparisons of voice platforms and models — turn latency, interruption handling, speech-to-text word error rate — using the same scenarios and scoring.

Cekura targets engineering, QA and CX teams building customer-facing agents in support, sales, healthcare and similar regulated environments. It emphasizes enterprise compliance (HIPAA, SOC 2, GDPR) and integrates with the voice stack teams already use, including LiveKit, Pipecat, ElevenLabs, Cartesia, Retell, Vapi and Speechmatics. A free trial is offered, with pricing available on request.

**Pricing & Plans:** Pricing is available on request and a free trial is offered. Plans are quoted based on usage and enterprise requirements.

- **Pre-production simulation:** Run thousands of synthetic conversations across personas, edge cases and scenarios before an agent reaches real users.
- **Production monitoring:** Track live calls and chats for sentiment drift, latency, drop-offs, failed tool calls and unresolved intents around the clock.
- **Self-improving loops:** Cekura detects a failure, reproduces it in simulation, suggests a fix, and re-runs the gate to verify the patch.
- **Voice AI benchmarking:** Run identical scenarios across providers and models to compare reliability, latency and interruption handling on equal footing.
- **Adversarial red-teaming:** Probe agents for jailbreaks, PII leaks, toxic intent and off-script behaviour before they surface in production.

**Strengths:** Covers the full lifecycle — pre-production testing, production monitoring and iterative improvement in one platform; Independent benchmark data for voice AI providers and models; Adversarial red-teaming surfaces jailbreaks and PII leaks early; Enterprise compliance posture with HIPAA, SOC 2 and GDPR

**Limitations:** Pricing is not published and requires a conversation with sales; Most valuable once you already have an agent in development or production; Benchmark comparisons are most relevant to teams using mainstream voice stacks

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

Cekura has 73,228 monthly visits, while QA.tech has 30,550. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cekura has a month-over-month growth rate of -18.9%; QA.tech has -4.4%.

### How does pricing compare?

Cekura: Contact for Pricing. Pricing is available on request and a free trial is offered. Plans are quoted based on usage and enterprise requirements. 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 | [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) |
| 5 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |
| 6 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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