GenAI-nativer E2E-QA-Agent, der Tests in natürlicher Sprache plant, schreibt und heilt
Fabraix verzeichnet 3.051 monatliche Besuche mit +15,4 % Wachstum gegenüber dem Vormonat und einem Preismodell „Freemium, Preise auf Anfrage“. QA.tech verzeichnet 30.550 monatliche Besuche mit -4,4 % Wachstum und einem Preismodell „Kostenpflichtig, Preise auf Anfrage“.

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.
| Dimension / Kennzahl | ![]() | ![]() |
|---|---|---|
| Offizielle Domain | fabraix.com | qa.tech |
| Preismodell | Freemium, Preise auf Anfrage | Kostenpflichtig, Preise auf Anfrage |
| Monatliche Besuche | 3051 (3.051) | 30.550 (30.550) |
| MoM-Traffic-Delta | +407 (+15,4 %) | -1416 (-4,4 %) |
| Primärmarkt und Anteil | 🇨🇦 Kanada (100 %) | 🇸🇪 Schweden (24,4 %) |
| Direkte Besuche / Monat | 1208 | 21.231 |
| Nutzerbewertung | 4,4 | 4,3 |
| Unterstützte Plattformen | Website | Website |

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.

Autonome KI-QA-Agenten, die deine Web- und Mobile-App bei jedem Pull Request verifizieren
Beschreibe eine Journey oder Regel im Chat, und der Agent macht daraus dauerhafte Testfälle, die Refactorings und Redesigns überstehen.
Jeder Pull Request bekommt einen dynamischen explorativen Durchlauf mit Preview-Umgebung, Fehleraufschlüsselung, Screenshots sowie Konsole- und Netzwerk-Logs.
Die Agenten arbeiten auf echten Browsern und nativen iOS- und Android-Apps, sodass die Abdeckung über das Web-Frontend hinausgeht.
Ergebnisse fließen nach Jira und Linear, und andere Coding-Agenten können Resultate per MCP abfragen.
GenAI-nativer E2E-QA-Agent, der Tests in natürlicher Sprache plant, schreibt und heilt

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.
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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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