# Janus (now Kairos) vs QA.tech

Janus (now Kairos) records 0 monthly visits with 0% 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 | [Janus (now Kairos)](https://openaitools.app/tool/janus) | [QA.tech](https://openaitools.app/tool/qa-tech) |
| :--- | :--- | :--- |
| Website URL | https://withjanus.com | https://qa.tech |
| Categories | AI Testing, AI Agent, AI Detector | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 0 | 30,550 |
| MoM Growth Rate | 0% | -4.4% |
| Primary Market | Global | Sweden |
| Direct Visits | 0 | 21,231 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Janus (now Kairos)

Janus began as a platform for battle-testing and improving AI agents, and the company has since rebranded to Kairos (withjanus.com now redirects to withkairos.co, and the site footer still credits 'Janus AI, Inc.'). Today Kairos positions itself as the AI deployment layer for critical industries — turning frontier models into specialized, reliable systems for enterprises in regulated sectors.

The core problem it addresses is trust. Off-the-shelf models are probabilistic and do not know your internal policies, so Kairos learns your rules from the people who actually run the process and deploys agents that hit very high accuracy thresholds. Evaluation, simulation and continuous learning sit at the heart of that loop: teams can build custom evaluations, simulate realistic scenarios, and detect failure classes such as hallucinations, rule violations and broken tool calls.

Deployment happens inside your own environment, so sensitive data never leaves your walls and accuracy compounds over time. Because the underlying intelligence is built on your processes and regulations, it becomes an asset you own rather than a rented generic model. The platform targets enterprises where high-stakes work leaves no margin for error.

**Pricing & Plans:** Contact for pricing. Kairos/Janus does not publish public plan tiers; pricing is arranged through a demo and tailored to enterprise deployment needs.

- **Custom agent evaluations:** Build bespoke test suites that mirror your real workflows so agents are measured against your rules, not generic benchmarks.
- **Hallucination & rule-violation detection:** Automatically flag fabricated answers, policy breaches and unsafe outputs before an agent goes live.
- **Tool-call failure detection:** Catch broken API calls, malformed arguments and failed agent tool usage that would silently break automations.
- **Simulation-based battle testing:** Run agents through realistic simulated scenarios to surface weaknesses without exposing real customers or data.
- **Private, sovereign deployment:** Deploy inside your own environment so data never leaves your walls and the resulting intelligence stays yours.

**Strengths:** Purpose-built for agent evaluation rather than generic LLM benchmarking; Detects concrete failure classes: hallucinations, rule violations and tool-call errors; Supports private, in-environment deployment for regulated industries; Custom evaluations tailored to your own processes and policies

**Limitations:** No public pricing or self-serve tier — you must talk to sales; Rebranding from Janus to Kairos can make documentation and links harder to follow; Best value for large enterprises; overkill for small hobby projects

[Profile (Markdown)](https://openaitools.app/tool/janus.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 Janus (now Kairos) and QA.tech compare in monthly traffic?

Janus (now Kairos) has 0 monthly visits, while QA.tech has 30,550. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Janus (now Kairos) has a month-over-month growth rate of 0%; QA.tech has -4.4%.

### How does pricing compare?

Janus (now Kairos): Contact for Pricing. Contact for pricing. Kairos/Janus does not publish public plan tiers; pricing is arranged through a demo and tailored to enterprise deployment needs. 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 | [Cekura](https://openaitools.app/tool/cekura) | 73,228 | -18.9% | Contact for Pricing | Automated QA, simulation and observability for voice and chat AI agents | [.md](https://openaitools.app/tool/cekura.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/janus-vs-qa-tech

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