Agente de QA E2E nativo de IA generativa que planeja, escreve e autocorrige testes em linguagem natural
Fabraix registra 3.051 visitas mensais com crescimento de +15,4% mês a mês e preços Freemium, Preço sob consulta. QA.tech registra 30.550 visitas mensais com crescimento de -4,4% e preços Pago, Preço sob consulta.

Fabraix is an adversarial-verification platform built around Nyx, an autonomous red-teaming harness that probes your AI agents across security, logic and alignment. It is pure blackbox — no integration or internal access required — and runs 10,000+ adaptive, multi-turn attack strategies in massively parallel simulations to surface the failure modes static benchmarks miss.
| Dimensão / Métrica | ![]() | ![]() |
|---|---|---|
| Domínio oficial | fabraix.com | qa.tech |
| Modelo de preços | Freemium, Preço sob consulta | Pago, Preço sob consulta |
| Visitas mensais | 3,05 mil (3.051) | 30,55 mil (30.550) |
| Variação de tráfego mensal | +407 (+15,4%) | -1,42 mil (-4,4%) |
| Mercado principal e participação | 🇨🇦 Canadá (100%) | 🇸🇪 Suécia (24,4%) |
| Visitas diretas / mês | 1,21 mil | 21,23 mil |
| Avaliação dos usuários | 4,4 | 4,3 |
| Plataformas suportadas | Site | Site |

Fabraix is an adversarial-verification platform built around Nyx, an autonomous red-teaming harness that probes your AI agents across security, logic and alignment. It is pure blackbox — no integration or internal access required — and runs 10,000+ adaptive, multi-turn attack strategies in massively parallel simulations to surface the failure modes static benchmarks miss.
Point Nyx at any AI system with no integration or internal access — test agents exactly how real users interact with them.
Nyx reasons across turns and adapts to your agent's logic, drawing on 10,000+ offensive strategies in long-context campaigns instead of canned prompts.
Test across voice, text and images, with websites deployed on the fly for browser agents and custom files for document-processing agents.
Run thousands of concurrent simulations; coverage scales with compute rather than headcount, with first exploits often found in under an hour.

Agentes autónomos de QA com IA que verificam a tua web e app móvel em cada pull request
Descreve um percurso ou regra no chat e o agente transforma-o em casos de teste duradouros que resistem a refatorações e redesenho.
Cada pull request recebe uma passagem exploratória dinâmica com ambientes de pré-visualização, detalhe de falhas, capturas e logs de consola e rede.
Os agentes trabalham em navegadores reais e apps nativas de iOS e Android, pelo que a cobertura vai além do frontend web.
Os resultados fluem para o Jira e o Linear, e outros agentes de código podem consultar resultados via MCP.
Agente de QA E2E nativo de IA generativa que planeja, escreve e autocorrige testes em linguagem natural

Qase is a test management platform that unifies manual test cases, automated test runs, and CI pipeline results in a single system of record. It adds AI that converts manual test cases into automated scripts, plus requirement traceability and release readiness reporting.
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ProjectDiscovery Neo is an AI-driven offensive security platform that continuously maps your external, internal, cloud and code attack surface, replays every finding against the live target to prove exploitability, then opens fix pull requests and regression tests. It is built by the team behind nuclei, subfinder and httpx.
ProjectDiscovery Neo is an AI-driven offensive security platform that continuously maps your external, internal, cloud and code attack surface, replays every finding against the live target to prove exploitability, then opens fix pull requests and regression tests. It is built by the team behind nuclei, subfinder and httpx.
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testRigor is an agentic AI test automation platform that lets you build end-to-end tests in plain English instead of code. It covers web, mobile, native desktop, API, email, SMS, phone calls, 2FA, and mainframe testing, includes free unlimited Generative AI, and self-heals tests so manual QA teams can automate without engineering help.
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